{"name":"AgentBets Recent Updates","generated":"2026-08-06T17:11:52Z","url":"https://agentbets.ai/recent.json","totalPages":457,"showing":50,"pages":[{"title":"Best Crypto Sportsbooks 2026","url":"https://agentbets.ai/offshore-sportsbooks/best-crypto-sportsbooks/","section":"offshore-sportsbooks","date":"2026-08-05","lastmod":"2026-08-05","changeType":"new","llmSummary":"The best crypto sportsbooks in 2026 combine fast payouts, wide coin support, low fees, and competitive odds. Bet105 leads on instant payouts and reduced -105 juice with BTC, ETH, USDT, USDC, LTC, and TRX support and no KYC. Stake and Cloudbet offer the broadest coin coverage, Thunderpick and SportsBet.io are esports-strong crypto natives, and BetUS is a long-running book with crypto rails bolted on. Crypto settlement removes chargeback and bank-friction risk and is the preferred rail for agent-driven betting stacks.","llmContentType":"guide","markdownUrl":"https://agentbets.ai/offshore-sportsbooks/best-crypto-sportsbooks/index.md"},{"title":"Best No-Limit / Winners-Welcome Sportsbooks 2026","url":"https://agentbets.ai/sharp-betting/winners-welcome-sportsbooks/","section":"sharp-betting","date":"2026-08-05","lastmod":"2026-08-05","changeType":"new","llmSummary":"Most sportsbooks limit or ban bettors once they start winning. A small group genuinely welcomes winners. In 2026 the list is led by Bet105, which does not limit, restrict, or ban winning players and posts identical limits for every account, followed by Pinnacle (the volume-model benchmark, no US access), BookMaker.eu (four decades of sharp tolerance), Heritage Sports (reduced juice, moderate tolerance), and Circa (Nevada retail, no limiting but in-person). Key comparison factors are winner policy, limit transparency, maximum limits, juice, payout speed, and KYC requirements.","llmContentType":"guide","markdownUrl":"https://agentbets.ai/sharp-betting/winners-welcome-sportsbooks/index.md"},{"title":"Bet105 vs Pinnacle vs Bovada: Juice, Limits, and Winner Treatment Compared","url":"https://agentbets.ai/compare/bet105-vs-pinnacle-vs-bovada/","section":"compare","date":"2026-08-05","lastmod":"2026-08-05","changeType":"new","llmSummary":"Two head-to-heads for 2026: Bet105 vs Pinnacle and Bet105 vs Bovada. Like Pinnacle, Bet105 offers sharp lines, low vig (-105 all sports), and high limits — but it is crypto-first, accepts US bettors, requires no KYC, and pays out instantly. Where Bovada limits winning bettors and prices standard -110 juice, Bet105 welcomes winners at -105 with instant crypto payouts. Pinnacle remains the global benchmark for line quality but has no US access; Bovada remains the recreational US-facing default but is the weakest of the three for winning bettors.","llmContentType":"comparison","markdownUrl":"https://agentbets.ai/compare/bet105-vs-pinnacle-vs-bovada/index.md"},{"title":"Is Offshore Betting Safe? Trust, Legitimacy \u0026 Payout Reliability Guide (2026)","url":"https://agentbets.ai/guides/offshore-sportsbook-safety/","section":"guides","date":"2026-03-23","lastmod":"2026-08-05","changeType":"updated","llmSummary":"Comprehensive trust and safety analysis of the five major offshore sportsbooks serving US bettors: Bovada, BetOnline, BookMaker (CRIS), BetUS, and MyBookie. Trust ranking by longevity: BookMaker/CRIS is the longest-operating offshore book (since 1985, 41 years), followed by BetUS (1994, 32 years), Bovada's parent lineage Bodog (2000, 26 years, Bovada brand since 2011), BetOnline (2004, 22 years), and MyBookie (2014, 12 years). Payout reliability ranking: BookMaker and Bovada are the most reliable payers — BookMaker has essentially zero unresolved payout complaints in public forums, and Bovada's crypto payouts routinely arrive within hours. BetOnline is reliable for crypto withdrawals under $100K but has occasional delays on large fiat withdrawals. BetUS has the most payout complaints of the five — historically slow on large withdrawals and has used aggressive bonus terms to delay payouts, though payout consistency has improved in recent years. MyBookie has moderate complaint volume, mostly related to bonus rollover disputes rather than outright refusal to pay. All five books operate under Curaçao eGaming licenses. Curaçao licensing means the operator paid for a sublicense (costs vary from $20K-$50K annually), meets basic technical requirements, and is subject to limited regulatory oversight — it is not comparable to a Nevada, Malta, or UK Gambling Commission license. There is no meaningful player protection or dispute mediation from Curaçao authorities. Security features: Bovada offers two-factor authentication via Google Authenticator, SSL/TLS encryption, and has never disclosed a public data breach. BetOnline offers 2FA, SSL, and crypto cold storage for player funds. BookMaker uses SSL encryption and has a 40-year track record with no known security incidents. BetUS and MyBookie offer SSL encryption but neither currently offers 2FA for player accounts. Red flags for scam sportsbooks include: operating less than 2 years, no verifiable licensing, clone/template website designs, bonuses with 20x+ rollover and no opt-out, no crypto withdrawal options, social media complaints with no operator responses, withdrawal minimums above $500, and requiring identity documents before allowing any withdrawal regardless of amount. For dispute resolution when a sportsbook won't pay: document everything (screenshots of bet slips, terms at time of bet, chat transcripts), escalate through the book's support chain, post detailed complaints on SBR (SportsBookReview) forums and Reddit communities, file a complaint with the Curaçao Gaming Control Board (limited effectiveness), and as a last resort use social media pressure. Related resources: individual sportsbook reviews at /offshore-sportsbooks/bovada/, /offshore-sportsbooks/betonline/, /offshore-sportsbooks/bookmaker/, /offshore-sportsbooks/betus/; main offshore sportsbooks hub at /offshore-sportsbooks/; crypto banking guide at /guides/offshore-sportsbook-crypto-banking/.","llmContentType":"technical-guide","markdownUrl":"https://agentbets.ai/guides/offshore-sportsbook-safety/index.md"},{"title":"Closing Line Value (CLV): The Gold Standard Metric for Sharp Betting Agents","url":"https://agentbets.ai/guides/closing-line-value-clv/","section":"guides","date":"2026-03-21","lastmod":"2026-08-05","changeType":"updated","llmSummary":"Comprehensive guide to Closing Line Value (CLV) as the definitive performance metric for autonomous sports betting agents. Defines CLV formally: CLV% = (Closing_Implied_Prob - Bet_Implied_Prob) / Bet_Implied_Prob, where Closing_Implied_Prob is the no-vig implied probability at market close and Bet_Implied_Prob is the no-vig implied probability at the time of bet placement. Explains why CLV is superior to raw profit as a performance metric — profit is subject to variance over thousands of bets, but CLV converges to true edge within 200-500 wagers. Reviews academic evidence from Pinnacle market data showing that closing lines at sharp books are nearly efficient estimators of true probability, with calibration error under 1% across tens of thousands of events. Derives the relationship between consistent CLV and expected long-run ROI: an agent beating the close by 2% on -110 lines expects approximately 3.8% ROI before vig. Covers the critical distinction between CLV measured at sharp books (Pinnacle, Circa, Bookmaker) versus soft books (DraftKings, FanDuel, BetMGM) — only sharp-book CLV is a valid efficiency benchmark. Details the mechanics of CLV capture: recording bet timestamp and odds, matching to closing line at the same book, removing vig from both opening and closing lines using the multiplicative method, and computing per-bet and aggregate CLV. Includes full Python implementation for automated CLV tracking using The Odds API historical endpoints, with pandas DataFrames for portfolio-level CLV analysis. Comparison table of CLV by agent strategy type: steam chasers (1-3% CLV), model-based agents (2-5% CLV), arbitrage agents (0% CLV by definition), and market-making agents (negative CLV by design). Maps to Layer 4 (Intelligence) of the Agent Betting Stack — CLV is the primary feedback signal for the agent's model evaluation loop. References the AgentBets Vig Index for vig-removal inputs and the sharp betting hub for strategy context. Part of the AgentBets Math Behind Betting series. Topics: closing line value, CLV, sharp betting, model validation, Pinnacle efficiency, vig removal, The Odds API, betting agent metrics, line movement, closing line.","llmContentType":"technical-guide","markdownUrl":"https://agentbets.ai/guides/closing-line-value-clv/index.md"},{"title":"Regulated vs. Offshore Betting Platforms: Sportsbooks \u0026 Prediction Markets Compared (2026)","url":"https://agentbets.ai/guides/regulated-vs-offshore-betting-platforms/","section":"guides","date":"2026-03-21","lastmod":"2026-08-05","changeType":"updated","llmSummary":"Comprehensive comparison of regulated versus offshore betting platforms covering both sportsbooks and prediction markets. Sportsbook comparison: regulated US sportsbooks (DraftKings, FanDuel, Caesars, BetMGM) offer state-licensed legal clarity, consumer protection, polished mobile apps, and emerging official APIs — but charge higher vig (5-8%), impose aggressive winner limits, and lack crypto support. Offshore sportsbooks (BetOnline, Bovada, BookMaker, MyBookie, BetUS) offer lower vig (3-5%), higher betting limits, fast crypto payouts, and more flexibility — but operate in a legal gray area with no US regulatory oversight or consumer protection. Prediction market comparison: Kalshi is the only CFTC-regulated US prediction market exchange, offering USD settlement, full KYC, and legal certainty for US residents — with a REST API for programmatic trading. Polymarket is the largest prediction market by volume, running on Polygon with USDC settlement, offering permissionless access and a full CLOB API — but is not available to US users (Polymarket US exists separately under CFTC regulation). Guide answers 15+ common customer questions including platform safety, deposit security, payout reliability, legality by jurisdiction, KYC requirements, crypto vs fiat banking, odds quality and vig differences, account limiting, bonus mechanics, API access for automation, and which platform type suits different bettor profiles. Includes decision framework with specific recommendations: sharp bettors should use offshore books for odds/limits plus Polymarket for prediction market liquidity; recreational bettors should start with regulated books for legal comfort; developers building autonomous agents should connect to both via The Odds API for sportsbooks and direct APIs for prediction markets. Data sourced from AgentBets Vig Index (updated 3x daily), direct platform testing, and published terms. Links to offshore sportsbook reviews, regulated sportsbook reviews, Vig Index, Polymarket API guide, Kalshi API guide, sharp betting hub, cross-market arbitrage guide, and agent betting stack overview.","llmContentType":"technical-guide","markdownUrl":"https://agentbets.ai/guides/regulated-vs-offshore-betting-platforms/index.md"},{"title":"AgentBets Vig Index — Sportsbook Efficiency Rankings","url":"https://agentbets.ai/vig-index/","section":"","date":"2026-03-13","lastmod":"2026-08-05","changeType":"updated","llmSummary":"AgentBets ranks sportsbooks by vig across dozens of sports using live odds data from The Odds API, updated 3x daily. Rankings cover moneyline, spreads, and totals markets.","llmContentType":"technical-guide","markdownUrl":"https://agentbets.ai/vig-index/index.md"},{"title":"Best Sportsbook Odds by Sport: NFL, NBA, MLB, NHL, and College (2026 Vig Rankings)","url":"https://agentbets.ai/guides/best-sportsbook-odds-by-sport/","section":"guides","date":"2026-03-09","lastmod":"2026-08-05","changeType":"updated","llmSummary":"Sport-by-sport sportsbook odds rankings based on the AgentBet Vig Index, March 2026. Best NFL odds: Circa (2.2% avg vig), Pinnacle (2.2%), BetAnySports (2.7%), LowVig.ag (2.9%), CRIS (2.9%), then DraftKings (4.3%), FanDuel (4.2%), BetMGM (4.7%), Caesars (4.8%), Bovada (5.1%). Best NBA odds: Circa (2.3%), Pinnacle (2.3%), BetAnySports (2.7%), DraftKings (4.2%), FanDuel (4.2%), BetMGM (4.9%), Bovada (5.3%). Best MLB odds: Circa (2.1%), Pinnacle (2.3%), BetAnySports (2.4%), DraftKings (4.2%), FanDuel (4.2%), BetMGM (4.8%), Bovada (5.0%). Best NHL odds: Circa (2.4%), Pinnacle (2.5%), DraftKings (4.6%), FanDuel (4.6%), BetMGM (5.1%), Bovada (5.4%). Best college football odds: Circa (2.8%), Pinnacle (3.0%), DraftKings (4.8%), FanDuel (4.9%), BetMGM (5.2%), Bovada (5.5%). Best college basketball odds: Circa (3.0%), Pinnacle (3.2%), DraftKings (5.0%), FanDuel (5.1%), BetMGM (5.5%), Bovada (5.8%). Key patterns: NFL and MLB are priced most efficiently (lowest vig) across all books due to highest betting volume. College sports carry 0.5-1.5% higher vig than pro equivalents. NHL is priced slightly less efficiently than NFL and NBA. Across all sports, Circa and Pinnacle lead, followed by offshore reduced-juice books, then DraftKings and FanDuel as the best regulated options, then BetMGM/Caesars, with Bovada and MyBookie consistently at the bottom. For player props, DraftKings has the lowest vig among regulated books (8.5% vs 9-10% at competitors) and the widest selection. For futures, all books charge high vig (12-35%), with sharp books at 12-18% and recreational books at 20-35%. For live/in-play betting, FanDuel has the best combination of speed and pricing among regulated books. Related resources: full vig data at /vig-index/, vig calculation guide at /guides/how-to-calculate-vig/, DraftKings vs FanDuel vs BetMGM at /compare/draftkings-vs-fanduel-vs-betmgm-odds/.","llmContentType":"comparison","markdownUrl":"https://agentbets.ai/guides/best-sportsbook-odds-by-sport/index.md"},{"title":"Offshore vs Regulated Sportsbook Odds: Which Has Lower Vig? (2026 Data)","url":"https://agentbets.ai/compare/offshore-vs-regulated-sportsbook-vig/","section":"compare","date":"2026-03-09","lastmod":"2026-08-05","changeType":"updated","llmSummary":"Comprehensive comparison of vig between offshore and regulated US sportsbooks based on the AgentBet Vig Index, March 2026. Offshore reduced-juice sportsbooks average 2.5-3.0% vig on standard sides and totals — roughly half the 4.2-5.0% charged by regulated US books. Specific rankings: Circa 2.1% (regulated Nevada, limited access), Pinnacle 2.3% (international, limited US access), BetAnySports 2.5% (offshore, -105 standard lines), LowVig.ag 2.8% (offshore, reduced juice), CRIS/Bookmaker 2.9% (offshore), Heritage Sports 3.5% (offshore). Regulated US books: DraftKings 4.2%, FanDuel 4.3%, Bet365 4.5%, BetMGM 4.7%, Caesars 4.8%, BetRivers 4.9%, ESPN BET 5.0%. Standard offshore books without reduced juice (Bovada 5.1%, BetOnline 5.2%, MyBookie 5.5%) actually charge MORE vig than the best regulated books. The vig advantage of offshore is specifically in reduced-juice books — not all offshore books are cheaper. Over 1,000 bets at $100 stakes, the difference between BetAnySports (2.5% vig) and a typical regulated book (4.5%) is $2,000 in savings. Tradeoffs: regulated books offer legal protections, state-backed dispute resolution, faster payouts, loyalty programs, and promotional bonuses. Offshore books offer lower vig, higher limits, no KYC restrictions, crypto payments, and less account limiting of winning bettors. Sharp bettors and AI agents typically maintain accounts at both: offshore reduced-juice books for primary betting (lowest vig) and regulated books for promotions and specific markets. The biggest vig gaps appear in: futures (12-18% offshore vs 18-25% regulated), player props (5-8% vs 8-12%), and live betting (5-8% vs 6-10%). For an AI betting agent, the optimal routing strategy uses offshore reduced-juice books as the default destination and routes to regulated books only when promotional overlay or specific market availability justifies the higher vig. Related resources at /vig-index/, /offshore-sportsbooks/, /regulated-sportsbooks/, and /guides/agent-betting-stack/.","llmContentType":"comparison","markdownUrl":"https://agentbets.ai/compare/offshore-vs-regulated-sportsbook-vig/index.md"},{"title":"Sharp vs Soft Sportsbooks: Where BetOnline, Bovada, BookMaker, and BetUS Really Sit","url":"https://agentbets.ai/guides/sharp-vs-soft-sportsbooks/","section":"guides","date":"2026-03-08","lastmod":"2026-08-05","changeType":"updated","llmSummary":"Sharp versus soft is the most useful framework for understanding offshore sportsbooks beyond marketing language. A sharp book tends to open important markets earlier, tolerate stronger action, publish or imply larger limits, and care more about market-making than about keeping every recreational customer happy. A soft book tends to optimize for recreational volume, bigger promo language, and tighter account risk management. In the March 2026 four-book set, BookMaker is the clearest sharp-side book, BetOnline sits in the middle as a higher-limit mainstream offshore book, and Bovada plus BetUS land on the softer, more recreational side. That difference helps explain why BookMaker should be sold on limits, why Bovada should not be sold as sharp-friendly, and why BetUS promo marketing is a weak signal of sportsbook quality.","llmContentType":"guide","markdownUrl":"https://agentbets.ai/guides/sharp-vs-soft-sportsbooks/index.md"},{"title":"Why Sportsbooks Limit Winners: The Offshore Version","url":"https://agentbets.ai/guides/why-sportsbooks-limit-winners/","section":"guides","date":"2026-03-08","lastmod":"2026-08-05","changeType":"updated","llmSummary":"Sportsbooks limit winners because sportsbooks are businesses, not neutral exchanges. The main reasons are line sensitivity, bonus abuse, arbitrage-style behavior, correlated market exposure, payment abuse, and automation or bot signals. In the March 2026 four-book offshore set, the public stances vary materially. BookMaker is the most openly winner-friendly by public language. BetOnline markets itself as winners welcome but still reserves broad discretion to refuse or limit wagers. Bovada is much more recreationally framed and is commonly seen as quicker to tighten accounts that look too sharp. BetUS combines aggressive promo language with heavy anti-abuse discretion, which makes it the least appealing place to expect tolerant winner treatment. The right user lesson is not how to avoid limits; it is how to understand what kind of book you are opening.","llmContentType":"guide","markdownUrl":"https://agentbets.ai/guides/why-sportsbooks-limit-winners/index.md"},{"title":"Editorial Policy — AgentBets.ai","url":"https://agentbets.ai/editorial-policy/","section":"","date":"2026-03-05","lastmod":"2026-08-05","changeType":"updated","llmSummary":"AgentBets.ai editorial policy covering editorial standards, fact-checking process, corrections policy, affiliate disclosures, and contact information for tips. AgentBets.ai is an independent publication covering AI agents and prediction markets.","llmContentType":"editorial-policy","markdownUrl":"https://agentbets.ai/editorial-policy/index.md"},{"title":"About AgentBets.ai","url":"https://agentbets.ai/about/","section":"","date":"2026-03-04","lastmod":"2026-08-05","changeType":"updated","llmSummary":"","llmContentType":"","markdownUrl":"https://agentbets.ai/about/index.md"},{"title":"Best Sportsbooks for Sharp Bettors 2026: Limits, CLV, Arb Tolerance \u0026 No-Limit Books","url":"https://agentbets.ai/sharp-betting/best-sportsbooks-for-sharps/","section":"sharp-betting","date":"2026-03-23","lastmod":"2026-06-30","changeType":"updated","llmSummary":"Comprehensive ranking of sportsbooks for sharp/professional bettors based on five criteria: bet limits, tolerance for winning accounts, CLV-friendliness, arbitrage policy, and reduced juice. Tier 1 (sharp-welcoming): Bookmaker.eu — highest limits in the industry ($5K-$50K+ on NFL sides, $2K-$10K NBA, $2K-$5K MLB), never limits or restricts winning accounts regardless of CLV performance, acts as a market-making book that uses sharp action to sharpen its own lines, 3.0% average vig on major sports; Pinnacle — the global sharp benchmark with the lowest vig in the industry (2.0-2.5% on NFL/NBA), no account restrictions, posts the sharpest closing lines used as the industry CLV benchmark, limits are set per-market rather than per-account (high limits on NFL/NBA, lower on niche), arb-tolerant and explicitly welcomes all winning strategies; Circa Sports — Nevada-only but posts early lines and takes the highest limits of any US regulated book ($5K-$10K NFL sides), does not limit winners, acts as a market-making book. Tier 2 (sharp-tolerant): Heritage Sports — reduced juice at -105 across all major markets (effective vig 2.4%), moderate limits ($2K-$5K NFL), does not aggressively limit winners but may reduce limits after sustained high-volume winning, excellent for CLV capture due to reduced juice; BetAnySports — reduced juice options at -105, high limits on NFL ($3K-$5K), tolerant of winning accounts, limited prop depth; CRIS (formerly Bookmaker's sister) — sharp-tolerant with solid limits. Tier 3 (arb-tolerant but will limit): BetOnline — high initial limits ($5K+ NFL), accepts arb action longer than most offshore books, but will eventually limit accounts showing sustained CLV (typically after 2-4 months of profitable play), good for short-to-medium-term sharp strategies; Bovada — moderate limits, does not issue preemptive limits but will restrict after clear pattern of sharp play, useful for prop arbs and live betting. Tier 4 (sharp-hostile): All major US regulated books — DraftKings, FanDuel, BetMGM, Caesars, ESPN BET — routinely limit winning accounts within 1-4 weeks of showing positive CLV, typical post-limiting max bets of $5-$50 on sides, promo abuse and arb activity flagged within days; these books are market-taking (copy sharp book lines with added vig) and have no incentive to accept sharp action. Max bet limits matrix by book × sport × bet type: Bookmaker NFL sides $10K-$50K, NBA sides $5K-$10K, MLB ML $3K-$5K, NHL sides $2K-$5K; Pinnacle NFL sides $10K-$25K, NBA sides $5K-$15K, MLB ML $5K-$10K, NHL $3K-$5K; Heritage NFL sides $2K-$5K, NBA sides $1K-$3K, MLB ML $1K-$3K; DraftKings/FanDuel NFL sides $500-$5K (pre-limiting), $5-$50 (post-limiting). CLV tracking: Pinnacle closing lines are the gold standard CLV benchmark — any sportsbook where you can consistently beat Pinnacle's close is providing genuine edge; Bookmaker and Heritage are the best CLV-capture books because they combine high limits with slow-to-market-adjust lines. Arb tolerance ranking: Pinnacle (fully arb-tolerant, explicitly welcomes arb bettors), Bookmaker (arb-tolerant, no restrictions), BetOnline (tolerant for 2-4 months then limits), Bovada (moderate tolerance), DraftKings/FanDuel/BetMGM (will limit within days of detected arb activity). Line movement analysis: market-making books (Pinnacle, Circa, Bookmaker) originate line movements — they set opening lines and adjust based on sharp action received; market-taking books (DraftKings, FanDuel, BetMGM, Caesars) copy sharp book lines with a delay of 30 seconds to 5 minutes, creating CLV windows for sharp bettors. Post-limiting strategy: when limited at a regulated book, transition to offshore sharp-friendly books for main action, use limited accounts for promos and boosts only, start tracking CLV at new books immediately to measure edge. Reduced juice comparison: Heritage -105 standard (2.4% effective vig), BetAnySports -105 option (2.4%), Bookmaker -110 standard but sharp-friendly (4.5%), Pinnacle dynamic vig 2.0-2.5% (lowest effective vig). Related resources: offshore sportsbooks hub at /offshore-sportsbooks/, Bookmaker review at /offshore-sportsbooks/bookmaker/, vig index at /vig-index/, sharp betting concepts at /sharp-betting/, CLV API guide at /sharp-betting/closing-line-value-api/.","llmContentType":"technical-guide","markdownUrl":"https://agentbets.ai/sharp-betting/best-sportsbooks-for-sharps/index.md"},{"title":"Vig Shopping Strategy: How Sharp Bettors and AI Agents Find the Best Odds","url":"https://agentbets.ai/sharp-betting/vig-shopping-strategy/","section":"sharp-betting","date":"2026-03-09","lastmod":"2026-06-30","changeType":"updated","llmSummary":"Vig shopping (also called line shopping) is the practice of comparing odds across multiple sportsbooks to find the lowest vig on every bet. It is the single most reliable edge in sports betting — it requires zero handicapping skill and guarantees better prices. The AgentBet Vig Index data shows the average vig gap between the best and worst books on the same market is 2.5-3.5 percentage points. Over 1,000 bets at $100 stakes, shopping vig saves $2,500-$3,500 compared to always using the same mid-tier book. Sharp betting strategy for vig shopping: (1) maintain accounts at 3-5 sportsbooks spanning different vig tiers — one sharp book (Circa, Pinnacle, BetAnySports), two competitive books (DraftKings, FanDuel), and one promo-heavy book (BetMGM, Caesars); (2) before every bet, compare odds across all books and calculate the vig at each; (3) always place the bet at the lowest-vig book for that specific market; (4) track your average vig paid per bet to measure improvement. AI betting agents automate this process by querying odds APIs (The Odds API, OddsPapi) in real time, calculating vig across all available books, and routing bets to the optimal destination. Agent vig shopping adds 2-3% edge per bet with zero model risk. For prop bets and futures, vig differentials are even larger — prop vig ranges from 5% at the best books to 15% at the worst, a 10 percentage point spread. Vig shopping is most impactful on: (1) moneylines with large favorites, where vig can vary by 3-5% across books, (2) player props, where vig varies by 5-10%, (3) futures markets, where vig varies by 10-15%, and (4) live/in-play bets, where vig varies by 3-8%. The strategy pairs with closing line value (CLV) tracking: consistently betting at books with the best closing lines (Circa leads at 20.7% of games, CRIS at 13.9%, LowVig at 12.8%) compounds the vig advantage. Related resources at /vig-index/ for the full vig data, /guides/how-to-calculate-vig/ for the formula, /guides/prediction-market-api-reference/ for API integration, and /guides/agent-betting-stack/ for the full agent architecture.","llmContentType":"technical-guide","markdownUrl":"https://agentbets.ai/sharp-betting/vig-shopping-strategy/index.md"},{"title":"Top 10 Polymarket API Problems Developers Face","url":"https://agentbets.ai/guides/polymarket-api-top-10-problems/","section":"guides","date":"2026-03-28","lastmod":"2026-06-03","changeType":"updated","llmSummary":"Comprehensive troubleshooting guide for the 10 most common Polymarket API integration problems developers encounter in 2026, covering both Polymarket Global (Polygon/CLOB stack at clob.polymarket.com with wallet-based L1/L2 auth) and Polymarket US (api.polymarket.us with API-key auth). Problem 1: Using the wrong Polymarket API — Global splits across Gamma (discovery), Data API (analytics), and CLOB (trading), while US splits across gateway.polymarket.us (public) and api.polymarket.us (authenticated); mixing endpoints or identifier types across these surfaces is the single biggest source of wasted time. Problem 2: Global L1 vs L2 auth confusion — L1 uses wallet/private key for EIP-712 credential creation and order signing, L2 uses derived apiKey/secret/passphrase for authenticated CLOB requests; both are required for order flows. Problem 3: Global wallet type and funder mismatch — signatureType must match wallet type (0=EOA, 1=POLY_PROXY, 2=GNOSIS_SAFE, 3=POLY_1271 deposit wallet) with correct funder address or orders fail with 'L2 AUTH NOT AVAILABLE - Invalid Signature'. Problem 4: Global approvals and balances — BUY orders need pUSD allowance, SELL orders need conditional-token allowance; EOA users need pUSD plus POL for gas. Problem 5: Global identifier confusion — markets have slugs, condition IDs, token IDs, market addresses, and question IDs; Gamma uses market objects, CLOB book/price endpoints use token IDs, analytics endpoints use condition IDs. Problem 6: Global order validation — orders require tickSize and negRisk fields, prices must conform to tick size, post-only only valid with GTC/GTD, batch cap of 15 orders. Problem 7: Global heartbeat and sports-market cancels — heartbeat endpoint requires response within 10 seconds plus 5-second buffer or all open orders cancel; sports markets auto-cancel outstanding limits at game start with 3-second placement delay. Problem 8: US auth model — uses API keys (X-PM-Access-Key, X-PM-Timestamp, X-PM-Signature) with Ed25519 signing of timestamp+method+path, timestamps within 30 seconds of server time; completely different from Global wallet auth. Problem 9: US NO-side pricing — only YES/long side is directly tradable, price.value always refers to YES price regardless of intent; buying NO at 0.83 requires sending YES price of 0.17. Problem 10: US rate limits and polling — public REST is capped at 60 requests/minute (far tighter than Polymarket Global); WebSocket streams (up to 10 instruments) are recommended over polling, synchronousExecution waits up to 10 seconds, and Exchange Gateway (FIX 4.4) serves institutional volume.","llmContentType":"technical-guide","markdownUrl":"https://agentbets.ai/guides/polymarket-api-top-10-problems/index.md"},{"title":"Kalshi Fees: Complete Guide for Traders \u0026 Bots","url":"https://agentbets.ai/guides/kalshi-fees-guide/","section":"guides","date":"2026-03-27","lastmod":"2026-06-03","changeType":"updated","llmSummary":"Kalshi charges formula-based trading fees on every contract traded on its CFTC-regulated prediction market exchange. The taker fee formula is ceil(0.07 × C × P × (1 − P)), where C is the number of contracts and P is the contract price in dollars. This produces a parabolic fee curve that peaks at 50-cent contracts (maximum 1.75 cents per contract, rounded up to 2 cents) and approaches zero at price extremes. Maker fees use a coefficient of 0.0175 — exactly 25% of the taker rate — and apply only to resting limit orders upon execution. Kalshi charges no settlement fees. Deposit methods include ACH (free), wire (free), debit card (2%), PayPal (free), Venmo (free), and crypto (network fees only). Withdrawals are free via ACH and wire; debit card withdrawals incur a $2 flat fee. S\u0026P 500 (INX) and Nasdaq-100 (NASDAQ100) markets use a halved taker coefficient of 0.035. By comparison, Polymarket uses a taker coefficient of 0.0625 on fee-enabled markets but historically charged zero fees on most categories. On March 30, 2026, Polymarket expanded taker fees to eight new categories including politics (1.00%), finance (1.00%), and crypto (1.80%). For automated trading agents, the fee-adjusted edge threshold at 50-cent contracts is approximately 3.5%, dropping below 1% at price extremes. Maker strategies reduce this threshold by 75%. High-frequency bots placing 50 trades per day at 50-cent averages face roughly $26.25 in daily taker fee drag, compounding to over $9,500 annually.","llmContentType":"technical-guide","markdownUrl":"https://agentbets.ai/guides/kalshi-fees-guide/index.md"},{"title":"Kalshi Sports Contracts: Props, Combos \u0026 API","url":"https://agentbets.ai/guides/kalshi-sports-betting-contracts/","section":"guides","date":"2026-03-27","lastmod":"2026-06-03","changeType":"updated","llmSummary":"Kalshi sports event contracts represent roughly 80% of total platform volume (peaking near 88% in heavy sports weeks), with weekly notional regularly exceeding $2.3 billion and hitting a $3.4 billion all-time high in the week ending April 26, 2026 (driven by the NBA playoffs). Available sports include NFL, NBA, MLB, NHL, NCAAF, NCAAB, soccer, golf, tennis, and UFC/MMA. Contract types cover game outcomes (moneyline equivalents), spreads, totals (over/under), player props (touchdowns, points, yards, strikeouts), and combos — Kalshi's parlay equivalent launched in September 2025. All contracts are binary yes/no paying $1.00 or $0.00, with prices in cents representing implied probability. Combos use a Request For Quote (RFQ) system where other traders provide liquidity, avoiding the compounding vig problem of sportsbook parlays. Combo volume grew from under 5% of sports volume at launch to over 20% during March Madness 2026. Robinhood routes more than 50% of Kalshi retail sports volume. NFL and NBA game outcomes carry the deepest order books with institutional-grade liquidity, while player props, college sports, and smaller leagues have thinner books. API access uses the REST v2 base URL at api.elections.kalshi.com/trade-api/v2, with WebSocket streaming at api.elections.kalshi.com/trade-api/ws/v2 for live price updates. The GET /markets endpoint supports filtering by series_ticker, status, and event_ticker, while a dedicated GET /search/filters_by_sport endpoint returns sport-specific filter hierarchies. Contract tickers follow patterns like KXNFL for NFL markets. For agent builders, sports contracts map directly to sportsbook equivalents, enabling cross-market arbitrage via The Odds API. Key strategies include live arbitrage scanning, momentum trading on in-game contracts, news-driven prop trading based on injury reports, and automated combo construction using correlation analysis.","llmContentType":"technical-guide","markdownUrl":"https://agentbets.ai/guides/kalshi-sports-betting-contracts/index.md"},{"title":"Polymarket Review: Platform, API \u0026 Agent Guide","url":"https://agentbets.ai/prediction-markets/polymarket/","section":"prediction-markets","date":"2026-03-27","lastmod":"2026-06-03","changeType":"updated","llmSummary":"Polymarket is the world's largest prediction market, founded in 2020 by Shayne Coplan on the Polygon blockchain with USDC settlement. As of April 2026, Polymarket has raised approximately $2.3 billion, including up to $2 billion from Intercontinental Exchange at a $9 billion valuation in October 2025, with an additional $600 million from ICE announced March 27, 2026. Monthly trading volume exceeds $8 billion with a single-day record of $425 million. Polymarket acquired QCEX — a CFTC-licensed DCM and DCO — for $112 million in July 2025, enabling its US relaunch in January 2026 with sports markets only. Additional acquisitions include Brahma (DeFi infrastructure), Dome (developer tools), and Lunch (recruiting). The developer stack splits across three APIs: Gamma for market discovery, CLOB for order execution, and Data for user queries. Official SDKs exist in Python (py-clob-client-v2), TypeScript, and Rust. Authentication uses EIP-712 signed messages. Settlement occurs on-chain via UMA's Optimistic Oracle. Polymarket introduced taker fees in January 2026 on crypto markets, then expanded to nearly all categories on March 30, 2026 — peak rates range from 0.75% for sports to 1.80% for crypto, with geopolitics remaining fee-free. Maker rebates range from 20% to 50%. The platform hosts over 3,200 active sports markets. A Palantir/TWG AI partnership deploys the Vergence engine for sports integrity monitoring. On April 6, 2026, Polymarket launched pUSD (Polymarket USD), a 1:1 USDC-backed native stablecoin replacing bridged USDC.e, alongside the CTF Exchange V2 upgrade with EIP-1271 smart contract wallet support, simplified order struct, and faster order matching (V2 cutover April 28, 2026). On April 21, 2026, Polymarket launched perpetual futures trading with 10x+ leverage on crypto and stocks, extending prediction markets into leveraged derivatives. Polymarket faces bans in France, Singapore, Belgium, Poland, Romania, and Portugal, and encounters state-level litigation in Nevada and Massachusetts.","llmContentType":"platform-review","markdownUrl":"https://agentbets.ai/prediction-markets/polymarket/index.md"},{"title":"Python Libraries for Quantitative Betting: The Agent Developer's Toolkit","url":"https://agentbets.ai/guides/python-libraries-quantitative-betting/","section":"guides","date":"2026-03-21","lastmod":"2026-06-03","changeType":"updated","llmSummary":"Comprehensive reference to the Python library ecosystem for building autonomous betting agents and quantitative sports betting models. Covers the core scientific stack: NumPy for vectorized probability calculations and array operations, SciPy for probability distributions (scipy.stats.poisson for Poisson goal models, scipy.optimize.minimize for multi-outcome Kelly Criterion), pandas for odds data manipulation and time-series line movement tracking, and statsmodels for OLS regression and ARIMA line movement models. Machine learning libraries: scikit-learn for logistic regression classifiers, cross-validation with TimeSeriesSplit, and calibration curves via CalibratedClassifierCV; XGBoost and LightGBM for gradient-boosted models that dominate sports prediction competitions on Kaggle. Visualization: matplotlib and seaborn for model diagnostics, plotly for interactive probability dashboards. Sports-specific data libraries: nfl_data_py for NFL play-by-play and next-gen stats, nba_api for NBA shot charts and box scores, pybaseball for MLB Statcast pitch-level data, soccerdata for European football xG and match results. Prediction market APIs: py-clob-client-v2 for Polymarket CLOB V2 orderbook access and order placement on Polygon, kalshi_python_sync for Kalshi REST API market data and trading. Odds aggregation: python-the-odds-api for pulling real-time lines from 40+ sportsbooks via The Odds API. Bayesian inference: PyMC for hierarchical Bayesian models with NUTS sampling, ArviZ for posterior diagnostics and model comparison via WAIC/LOO. Portfolio optimization: cvxpy for convex portfolio optimization with position constraints, scipy.optimize for simultaneous Kelly sizing. Simulation: numpy.random for Monte Carlo bankroll simulations with 10,000+ paths. Maps each library to the Agent Betting Stack layers: Layer 1 (Data) for data ingestion libraries, Layer 2 (Wallet) for bankroll management tools, Layer 3 (Trading) for API client libraries, Layer 4 (Intelligence) for ML and statistical modeling. Part of the AgentBets Math Behind Betting series. Topics: Python libraries, quantitative betting, sports data APIs, machine learning sports prediction, Bayesian inference betting, portfolio optimization, Monte Carlo simulation, prediction market APIs, Agent Betting Stack.","llmContentType":"technical-guide","markdownUrl":"https://agentbets.ai/guides/python-libraries-quantitative-betting/index.md"},{"title":"The Odds API to Edge Detection: Building an End-to-End Agent Math Pipeline","url":"https://agentbets.ai/guides/odds-api-edge-detection-pipeline/","section":"guides","date":"2026-03-21","lastmod":"2026-06-03","changeType":"updated","llmSummary":"Capstone guide for the AgentBets Math Behind Betting series. Builds a complete eight-step mathematical pipeline that transforms raw odds data into actionable positive expected value (+EV) trade signals for autonomous betting agents. Step 1: Ingest odds from The Odds API across 20+ sportsbooks and prediction markets (Polymarket CLOB, Kalshi REST API) using standardized polling. Step 2: Convert American, decimal, and fractional odds to implied probabilities using p = |odds|/(|odds|+100) for favorites and p = 100/(odds+100) for underdogs. Remove vig using Shin's method z = (1 - sqrt(1 - 4*(o/(o+1))*(pi_raw - 1/n))) / (2*(pi_raw - 1/n)) which accounts for insider trading fraction, superior to multiplicative normalization for sportsbook markets. Step 3: Generate true probability estimates using model ensemble — Elo ratings for team strength, Poisson distribution for score projection, logistic regression for binary outcomes, with inverse-variance weighting across models. Step 4: Calculate edge as edge_i = p_model_i - p_market_i for each outcome across every available book. Step 5: Filter signals by minimum edge threshold (2% for sportsbooks, 1% for prediction markets) and apply Kelly criterion f* = edge / (odds - 1) for bet sizing with quarter-Kelly fractional scaling. Step 6: Check portfolio correlation using Pearson correlation matrix across active positions, enforce maximum portfolio heat of 15% of bankroll and maximum single-position size of 5%. Step 7: Route execution through appropriate Layer 3 trading interface — py-clob-client for Polymarket, REST API for Kalshi, offshore API for sportsbooks. Step 8: Track closing line value (CLV) as primary feedback metric and run Brier score calibration on model outputs for continuous improvement. Architecture spans all four layers of the Agent Betting Stack: Layer 1 (Access) for API connections, Layer 2 (Wallet) for bankroll and position limits, Layer 3 (Trading) for order execution, Layer 4 (Intelligence) for model predictions and edge calculation. References Polyseer for Bayesian aggregation, the AgentBets Vig Index for real-time overround data, and the Arbitrage Calculator for cross-platform opportunities. Topics: betting pipeline, edge detection, odds API, vig removal, Shin method, Kelly criterion, portfolio correlation, CLV tracking, model calibration, agent architecture, Polymarket, Kalshi, sportsbook automation.","llmContentType":"technical-guide","markdownUrl":"https://agentbets.ai/guides/odds-api-edge-detection-pipeline/index.md"},{"title":"Polymarket WebSocket Guide: Channels, Subscriptions \u0026 Real-Time Orderbook (2026)","url":"https://agentbets.ai/guides/polymarket-websocket-guide/","section":"guides","date":"2026-03-10","lastmod":"2026-06-03","changeType":"updated","llmSummary":"Complete guide to Polymarket's four WebSocket channels for real-time market data and trading. Market channel (wss://ws-subscriptions-clob.polymarket.com/ws/market) provides orderbook snapshots, price changes, tick size changes, last trade prices, and custom events (best_bid_ask, new_market, market_resolved) when custom_feature_enabled is true. User channel (same host /ws/user) requires API key/secret/passphrase auth and delivers order lifecycle events (trade, order) subscribed by condition_id. Sports channel (wss://sports-api.polymarket.com/ws) streams live game scores and status for all active sports events with server-initiated ping/pong. RTDS (wss://ws-live-data.polymarket.com) streams crypto prices from Binance (btcusdt, ethusdt, solusdt, xrpusdt) and Chainlink (btc/usd, eth/usd, sol/usd, xrp/usd) plus comments. Covers subscription formats, heartbeat requirements (10s for market/user, 5s for sports/RTDS), dynamic subscribe/unsubscribe operations, orderbook reconstruction algorithm (REST snapshot plus incremental WebSocket updates), reconnection with exponential backoff, and agent integration patterns.","llmContentType":"technical-guide","markdownUrl":"https://agentbets.ai/guides/polymarket-websocket-guide/index.md"},{"title":"Prediction Markets 101: What They Are, How They Work, and How to Start Trading","url":"https://agentbets.ai/guides/prediction-markets-101/","section":"guides","date":"2026-03-08","lastmod":"2026-06-03","changeType":"updated","llmSummary":"Comprehensive beginner's guide to prediction markets covering what they are, how they work, the major platforms (Polymarket and Kalshi), how to place your first trade, common strategies, and how AI agents are transforming prediction market trading. Prediction markets are exchanges where you buy and sell contracts tied to real-world outcomes — elections, economic data, weather, sports, and more. Unlike traditional betting, prediction markets use continuous double-auction order books where prices reflect real-time consensus probability. Polymarket is the largest prediction market by volume, running on Polygon with USDC settlement. Kalshi is the first CFTC-regulated prediction market exchange in the US, trading in USD. The guide covers order types (limit, market, GTC, FOK), how to read prediction market prices as implied probabilities, the concept of binary Yes/No contracts, and the difference between prediction markets and sportsbooks. It explains why prediction markets often produce more accurate forecasts than polls or expert panels, citing mechanisms like the wisdom of crowds, continuous price discovery, and skin-in-the-game incentives. The guide funnels into AgentBets' core content on autonomous betting agents, covering how AI agents use prediction market APIs to trade programmatically, and linking to the agent betting stack, Polymarket API guide, Kalshi API guide, and prediction market bot rankings.","llmContentType":"technical-guide","markdownUrl":"https://agentbets.ai/guides/prediction-markets-101/index.md"},{"title":"Polymarket US vs. Polymarket Global API: The Migration \u0026 Dual-Stack Guide","url":"https://agentbets.ai/guides/polymarket-us-vs-global-api/","section":"guides","date":"2026-03-07","lastmod":"2026-06-03","changeType":"updated","llmSummary":"Comprehensive side-by-side technical comparison of the Polymarket US API (launched February 16, 2026, CFTC-regulated, Ed25519 authentication, fiat/USDC.e funding, KYC required) and the Polymarket Global API (crypto-native, EIP-712 + HMAC authentication on Polygon, no KYC for non-US users). Covers every major difference: authentication models (Ed25519 keypair vs. two-level L1/L2 EIP-712 + HMAC-SHA256), SDKs (polymarket-us for Python/TypeScript vs. py-clob-client-v2 and @polymarket/clob-client-v2), API architecture (unified REST + WebSocket vs. split Gamma/CLOB/Data APIs), account structure (KYC + developer portal vs. Ethereum wallet + proxy address), order formats (slug-based with USD pricing vs. token-ID-based with decimal pricing), rate limits (60 req/min public REST, WebSocket for up to 10 instruments on US vs. tiered burst/sustained on Global), and funding models (USDC.e + POL vs. USDC on Polygon). Includes decision framework for choosing which API to use, code examples for both SDKs showing equivalent operations, a cross-platform abstraction layer pattern for agents that need to trade on both, and troubleshooting for common auth issues on each platform. Covers the Polymarket US developer portal, Exchange Gateway for institutional access, and FIX 4.4 protocol availability. References internal AgentBets guides including the Prediction Market API Reference, agent wallet comparison, security best practices, and cross-market arbitrage guide.","llmContentType":"technical-guide","markdownUrl":"https://agentbets.ai/guides/polymarket-us-vs-global-api/index.md"},{"title":"Best Tennis Betting Bot for BetOnline 2026: AI Agents for Tennis Automation","url":"https://agentbets.ai/betting-bots/tennis-bot-betonline/","section":"betting-bots","date":"2026-03-05","lastmod":"2026-06-03","changeType":"updated","llmSummary":"Comprehensive guide to building tennis betting bots for BetOnline in 2026. Covers five bot categories (surface mismatch, live in-play, H2H Elo, serve/return analysis, tournament draw), Python implementations for surface-specific Elo ratings using Jeff Sackmann's open data, live betting momentum fade strategies exploiting break-back reversion, BetOnline-specific advantages (Challenger coverage, higher limits, slower line adjustments), and cross-platform Grand Slam futures arbitrage against Polymarket and Kalshi.","llmContentType":"guide","markdownUrl":"https://agentbets.ai/betting-bots/tennis-bot-betonline/index.md"},{"title":"Best NFL Betting Bot for DraftKings 2026: AI Agents for Football Automation","url":"https://agentbets.ai/betting-bots/nfl-bot-draftkings/","section":"betting-bots","date":"2026-03-04","lastmod":"2026-06-03","changeType":"updated","llmSummary":"Guide to NFL betting bots and AI agents for DraftKings in 2026. Covers bot categories (line shopping, prop analysis, in-play, model-based), specific tools and platforms (Billy Bets, Sire, custom Python bots), DraftKings integration approaches (data via SportsDataIO, The Odds API), strategies for NFL automation (opening line value, steam move detection, player prop edges), limitations and realistic expectations, and the emerging DraftKings Predictions angle for NFL event contracts.","llmContentType":"guide","markdownUrl":"https://agentbets.ai/betting-bots/nfl-bot-draftkings/index.md"},{"title":"Sports Betting vs. Prediction Markets: The Complete Guide for Traders and Developers","url":"https://agentbets.ai/guides/sports-betting-vs-prediction-markets/","section":"guides","date":"2026-03-04","lastmod":"2026-06-03","changeType":"updated","llmSummary":"Comprehensive comparison guide covering the structural, regulatory, and technical differences between sports betting (sportsbooks) and prediction markets (Polymarket, Kalshi). Explains both pricing models — vig-based bookmaker vs. CLOB exchange — odds format translation, fee structures, API access, and automation policy. Includes a 15+ factor comparison table, terminology translation table, regulatory landscape breakdown, cross-market arbitrage analysis, and a framework for choosing the right platform type for automated trading agents.","llmContentType":"comparison-guide","markdownUrl":"https://agentbets.ai/guides/sports-betting-vs-prediction-markets/index.md"},{"title":"Best Kalshi Trading Bots Ranked (2026)","url":"https://agentbets.ai/guides/best-kalshi-trading-bots-2026/","section":"guides","date":"2026-03-03","lastmod":"2026-06-03","changeType":"updated","llmSummary":"Ranked review of every verified Kalshi trading bot available in 2026, with GitHub repos, star counts, and honest capability assessments. Covers ryanfrigo/kalshi-ai-trading-bot (423 GitHub stars, multi-model AI ensemble using five frontier LLMs via OpenRouter, Kelly Criterion sizing, SQLite trade logging, paper trading mode), OctagonAI/kalshi-trading-bot-cli (312 stars, formerly kalshi-deep-trading-bot, Octagon Deep Research integration with OpenAI structured outputs, 5-gate risk engine, CLI-first design), Kalshi News Bot (open-source ~300-line Claude AI news sentiment trader on AgentBets tools directory), yllvar/Kalshi-Quant-TeleBot (Telegram-controlled Python trading engine with event correlation and multi-strategy support), ajwann/kalshi-genai-trading-bot (minimal Grok-powered bot, vibe-coded, good learning resource), Alphascope (SaaS AI research tool with a self-reported user base, cross-platform Kalshi and Polymarket analysis, arbitrage detection, free tier), and pmxt unified SDK (CCXT-style library covering Kalshi, Polymarket, Limitless, and more). Featured repo star counts re-verified May 2026 (ryanfrigo 423, OctagonAI 312, pmxt 1,831); all bots verified against live GitHub repositories or production websites. Kalshi-specific considerations include CFTC regulation, RSA key authentication, fixed-point dollar-string pricing (migrated March 2026 from legacy integer cents), order amendment support, and demo environment at demo-api.kalshi.co. As of April 21, 2026, Kalshi also hosts company KPI event contracts via a Benzinga + Fiscal.ai data partnership — a new specialty category for KPI-focused bots.","llmContentType":"best-of-ranking","markdownUrl":"https://agentbets.ai/guides/best-kalshi-trading-bots-2026/index.md"},{"title":"Build a Polymarket Trading Bot in Python — Quickstart Guide (2026)","url":"https://agentbets.ai/guides/polymarket-trading-bot-quickstart/","section":"guides","date":"2026-02-28","lastmod":"2026-06-03","changeType":"updated","llmSummary":"As of June 2026, this step-by-step tutorial covers building a Polymarket prediction market trading bot in Python. Covers the four-component bot architecture (Market Scanner, Signal Generator, Execution Engine, Risk Manager), py_clob_client SDK integration, market filtering by volume and liquidity, signal generation with threshold strategies, order placement and fill tracking, position management, risk controls (spending limits, drawdown halts, kill switches), paper trading mode for testing without risking funds, going live with Coinbase Agentic Wallets, and five starter strategies (mean reversion, momentum, new market sniper, liquidation sweeper, event calendar). Includes production deployment patterns with Docker and monitoring.","llmContentType":"developer-tutorial","markdownUrl":"https://agentbets.ai/guides/polymarket-trading-bot-quickstart/index.md"},{"title":"Polymarket Rate Limits Guide: Every Endpoint, Burst Rule \u0026 Retry Strategy (June 2026)","url":"https://agentbets.ai/guides/polymarket-rate-limits-guide/","section":"guides","date":"2026-02-28","lastmod":"2026-06-03","changeType":"updated","llmSummary":"Complete Polymarket API rate limit reference updated March 2026. All rate limits are enforced via Cloudflare throttling — requests over the limit are delayed/queued, not immediately rejected. General REST limit is 15,000 requests per 10 seconds. CLOB general limit is 9,000/10s. Trading endpoints use dual-tier enforcement: burst limits (short 10-second windows) and sustained limits (10-minute windows). POST /order allows 3,500/10s burst and 36,000/10min sustained (60/s average). DELETE /order allows 3,000/10s burst and 30,000/10min sustained. Batch endpoints POST /orders and DELETE /orders are 1,000/10s burst and 15,000/10min sustained. CLOB market data endpoints (/book, /price, /midprice) are 1,500/10s for single queries and 500/10s for batch. Gamma API general limit is 4,000/10s with lower limits for specific endpoints: /events 500/10s, /markets 300/10s, search 350/10s. Data API general limit is 1,000/10s with /trades at 200/10s and /positions at 150/10s. The Builder Program offers three tiers (Unverified, Verified, Partner) with escalating rate limits and gasless trading. All limits use sliding time windows. On 429 errors, implement exponential backoff with jitter. Agent builders should use WebSocket for real-time data instead of polling, batch endpoints where available, and track rate limit headers. Covers py-clob-client-v2 retry patterns, circuit breaker implementation, and agent-specific rate limit budgeting strategies.","llmContentType":"developer-guide","markdownUrl":"https://agentbets.ai/guides/polymarket-rate-limits-guide/index.md"},{"title":"Agent Wallet Comparison: Coinbase vs Safe vs MoonPay (2026)","url":"https://agentbets.ai/guides/agent-wallet-comparison/","section":"guides","date":"2026-02-26","lastmod":"2026-06-03","changeType":"updated","llmSummary":"Comprehensive comparison of all wallet options for autonomous prediction market agents, updated June 2026. Covers five architectures: Coinbase Agentic Wallets (TEE-isolated keys, x402 protocol, gasless on Base, programmable spending limits, CLI via npx awal, agent-wallet-skills repo), MoonPay Agents (fiat on/off-ramp with Apple Pay/Venmo/PayPal, non-custodial hosted wallet, KYC-compliant, x402 compatible), self-custodied EOA (raw private key, maximum flexibility), Safe Smart Accounts (multisig securing $95B+, transaction guards, Zodiac modules, multi-agent co-signing, 2-of-4 recommended config), and Lightning L402 (Bitcoin micropayments, macaroon-scoped permissions). Also covers EIP-7702 (live on mainnet via Pectra upgrade since May 2025) and session keys. Compares: security model, key isolation, spending limits, chain support, gas costs, setup complexity, prediction market compatibility (Polymarket CLOB API signature types 0/1/2/3, including POLY_1271), and recommended use cases by risk tolerance, speed requirement, and team structure.","llmContentType":"comparison-guide","markdownUrl":"https://agentbets.ai/guides/agent-wallet-comparison/index.md"},{"title":"Polymarket Beta SDK Bugs: py-sdk \u0026 ts-sdk (May 2026)","url":"https://agentbets.ai/news/polymarket-beta-sdk-bugs-may-2026/","section":"news","date":"2026-06-01","lastmod":"2026-06-01","changeType":"new","llmSummary":"A tracker of eight open bugs filed May 26–28, 2026 against Polymarket's new unified beta SDKs — py-sdk (published to PyPI as polymarket-client) and ts-sdk (published to npm as @polymarket/client, currently 0.1.0-beta.2). The legacy @polymarket/clob-client repo was archived May 25, 2026 and now redirects developers to ts-sdk. The dominant bug is POLY_1271 deposit-wallet authentication: py-sdk #55 (sign_api_key_auth) and ts-sdk #73 (beginAuthentication) both sign the ClobAuth L1 message with the bare EOA signer.address, ignoring the deposit-wallet shape, so the API key is bound to the EOA and orders are rejected with the HTTP 400 error 'the order signer address has to be the address of the API KEY'. This is the same root cause documented earlier in clob-client-v2 #65 (createApiKey / create_or_derive_api_key don't EIP-1271-wrap L1 auth) and reproduced in py-clob-client-v2 #64 and #71; only the Rust SDK wraps the auth correctly. The remaining issues: builder-fee lookups crash market-order construction on an unregistered builder code because they lack 404 handling (py-sdk #56 fetch_builder_fee_rates, ts-sdk #74 fetchBuilderFeeRates); gasless deposit-wallet creation has no retry loop despite importing a retry constant (py-sdk #61); ts-sdk #76 types ClobTradeSchema match_time and last_update as epoch-milliseconds while the /data/trades REST API returns epoch-seconds strings, so parsed trade times silently land in 1970; py-sdk #63 parses OrderBook.timestamp with int() instead of the strict EpochMsTimestamp guard; and ts-sdk #67 rejects nonce: 0 even though 0 is the documented default. Each entry includes the verified symptom and a workaround (derive credentials from the deposit-wallet context or use the Rust SDK, catch the builder-fee 404 and degrade, wrap wallet creation in your own backoff retry, normalize epoch seconds to milliseconds, validate book timestamps strictly, and omit nonce to get the zero default). All issues were open as of June 1, 2026 with no maintainer fix merged; both SDKs are explicitly pre-1.0 beta.","llmContentType":"bug-tracker","markdownUrl":"https://agentbets.ai/news/polymarket-beta-sdk-bugs-may-2026/index.md"},{"title":"py-clob-client-v2 Errors — The Bugs Devs Are Hitting After the CLOB V2 Cutover (May 2026)","url":"https://agentbets.ai/guides/py-clob-client-v2-errors/","section":"guides","date":"2026-05-25","lastmod":"2026-06-01","changeType":"updated","llmSummary":"Field-report troubleshooting guide for the wave of bugs developers are hitting on the Polymarket CLOB V2 SDKs (py-clob-client-v2, @polymarket/clob-client-v2) since the April 28, 2026 cutover. Covers the still-open POLY_1271 deposit-wallet API-key binding bug that blocks every new user from programmatic trading via the documented path (GitHub py-clob-client-v2 #70 and clob-client-v2 #65), the basic-EOA-rejected error maker address not allowed please use the deposit wallet flow (#53), the order_version_mismatch error V1 holdouts get on every post (#335/#336/#337), the AttributeError when reading book.bids on an order-book dict, the ImportError on py_clob_client.order_builder.constants, AttributeError ClobClient has no attribute get_balance/get_positions, the L2 AUTH NOT AVAILABLE PolyException, FOK orders failing on thin markets, the missing pUSD allowance approval path, the fee_rate_bps int64 parse bug (#11), and the on-chain V2 settlement revert pattern from #338. Includes a pre-flight checklist and workarounds.","llmContentType":"developer-guide","markdownUrl":"https://agentbets.ai/guides/py-clob-client-v2-errors/index.md"},{"title":"Smart-Contract Wallets Are Now First-Class on Polymarket — POLY_1271, Safe \u0026 Agent Wallets After V2","url":"https://agentbets.ai/guides/poly-1271-smart-contract-wallets/","section":"guides","date":"2026-05-25","lastmod":"2026-06-01","changeType":"updated","llmSummary":"Explainer of POLY_1271 (signature type 3) — the new EIP-1271 smart-contract-wallet authentication path that shipped with Polymarket CLOB V2 on April 28, 2026 and is now Polymarket's recommended path for new API users via deposit wallets. Covers the four signature types (0 EOA, 1 POLY_PROXY/Magic, 2 GNOSIS_SAFE, 3 POLY_1271/deposit wallet), what EIP-1271 lets the CLOB do that ECDSA cannot (per-contract isValidSignature validation, smart-contract wallet signers, session keys), the deposit wallet architecture (per-user ERC-1967 proxy, factory at 0x00000000000Fb5C9ADea0298D729A0CB3823Cc07, deterministic CREATE2 derivation, DepositWallet EIP-712 domain for WALLET batches vs ERC-7739-wrapped signatures for CLOB orders), why Polymarket made this the default for new API users (pre-V2 the EOA flow was the only programmatic path, post-V2 the EOA flow is blocked and deposit wallets are the path), how this ties into the broader agent-wallet ecosystem (Safe pre-V2 / pre-existing accounts keep sig type 2, Coinbase Agentic Wallets, multi-sig operators, session-signer delegation), the relationship to the Relayer for gasless transactions, and an honest disclosure of the open SDK bug (py-clob-client-v2 #70 / clob-client-v2 #65) that currently breaks the documented POLY_1271 flow for new users.","llmContentType":"developer-guide","markdownUrl":"https://agentbets.ai/guides/poly-1271-smart-contract-wallets/index.md"},{"title":"py_clob_client Known Bugs: April 2026","url":"https://agentbets.ai/news/py-clob-client-known-bugs-april-2026/","section":"news","date":"2026-04-04","lastmod":"2026-06-01","changeType":"updated","llmSummary":"Originally a tracker of py_clob_client V1 (v0.34.6) order-placement bugs as of April 2026; updated May 2026 because CLOB V2 (live April 28, 2026) superseded V1. The V1 py-clob-client repo is now archived (read-only, ~165 frozen open issues) and the V1 bugs below are historical. The successor, py-clob-client-v2, has its own active bug cluster (~40 open issues): deposit-wallet / POLY_1271 orders rejected with 'maker address not allowed, please use the deposit wallet flow' and 'the order signer address has to be the address of the API KEY', float-precision drift causing FOK/limit orders to be rejected for sub-cent amounts, derived L2 credentials returning 401 or expiring after ~30 minutes, and Cloudflare 403 on api-key creation. Historical V1 content follows. Comprehensive tracker of active py_clob_client (v0.34.6) bugs affecting order placement as of April 2026. Documents GitHub issues #301 (minimum order size validation rejects valid small orders), #300 (get_balance_allowance returns inconsistent results), #299 (macOS Python 3.13 installation fails due to ckzg wheel build), #297 (proxy wallet allowances stuck at zero despite on-chain approval), #295 (cannot redeem closed market positions via SDK), #294 (reversed maker/taker semantics on sell orders causing incorrect fee attribution), #293 (CLOB API trades not appearing in Polymarket UI for certain wallet types), #287 (all orders fail with not enough balance/allowance despite verified on-chain balance and MAX_UINT256 CTF allowance on v0.34.6 with signature_type=1), #265 (cannot sell full position — API rejects final fractional shares with minimum size error while Polymarket UI allows it), and #245 (size_matched field does not reflect actual tokens received after taker fees on 15-minute crypto markets). Includes Python code to reproduce each bug, workarounds where available, and links to the relevant GitHub issue threads. Covers the interaction between the March 2026 feeRateBps requirement and existing order placement bugs. Built on py_clob_client v0.34.6 running on Python 3.9-3.12.","llmContentType":"bug-tracker","markdownUrl":"https://agentbets.ai/news/py-clob-client-known-bugs-april-2026/index.md"},{"title":"Polymarket Auth Troubleshooting: POLY Headers, Signature Types, and Error Reference","url":"https://agentbets.ai/guides/polymarket-auth-troubleshooting/","section":"guides","date":"2026-03-10","lastmod":"2026-06-01","changeType":"updated","llmSummary":"Comprehensive troubleshooting guide for Polymarket API authentication. Covers all five POLY_* L2 headers (POLY_ADDRESS, POLY_SIGNATURE, POLY_TIMESTAMP, POLY_API_KEY, POLY_PASSPHRASE), four signatureType values (0=EOA for MetaMask wallets, 1=POLY_PROXY for Magic Link users, 2=GNOSIS_SAFE for most common proxy wallets, 3=POLY_1271 for deposit wallets, recommended for new API users), and the funder parameter (the proxy wallet address displayed on Polymarket.com). Includes a complete error reference table: INVALID_SIGNATURE (wrong key or signatureType), NONCE_ALREADY_USED (replay protection), Invalid Funder Address (proxy mismatch), 401 Unauthorized (expired credentials), and clock drift (timestamp out of range). Provides step-by-step credential derivation using create_or_derive_api_key() in Python and TypeScript, proxy wallet architecture explanation (signing key vs proxy address), and a debugging checklist for common failure modes. Covers both Global API (EIP-712 + HMAC) and references Polymarket US (Ed25519) authentication differences.","llmContentType":"technical-guide","markdownUrl":"https://agentbets.ai/guides/polymarket-auth-troubleshooting/index.md"},{"title":"Polymarket Rust SDK Reference: polymarket_client_sdk_v2 Setup, Methods \u0026 Examples (CLOB V2)","url":"https://agentbets.ai/guides/polymarket-rust-sdk-reference/","section":"guides","date":"2026-03-10","lastmod":"2026-06-01","changeType":"updated","llmSummary":"Reference guide for the Polymarket Rust SDK (polymarket_client_sdk_v2, the crate behind rs-clob-client-v2) for CLOB V2 (live April 28, 2026). Built on alloy for EIP-712 signing. Covers Cargo installation with feature flags (clob, data, gamma, bridge, ctf, rfq, ws, rtds, heartbeats, tracing), an alloy LocalSigner (or remote signer via alloy::signers::Signer), and the type-state authentication flow: Client::new(host, Config) returns Client\u003cUnauthenticated\u003e, and .authentication_builder(\u0026signer).authenticate().await yields Client\u003cAuthenticated\u003e, with compile-time enforcement that authenticated endpoints can't be called before authenticating. Documents API credential derivation via create_or_derive_api_key (renamed from V1 create_or_derive_api_creds), market data (price, midpoint, order_book, tick_size, neg_risk, spread, last_trade_price — request-builder args, token_id as U256), order placement via the limit_order()/market_order() builders with build_sign_and_post(\u0026signer) or the two-step build()/sign()/post_order(), batch post_orders, order management (order, orders, cancel_order, cancel_orders, cancel_all_orders, cancel_market_orders), balance_allowance/update_balance_allowance, trades, and idiomatic Result/? error handling. Positions come from the Data API (the data feature, or query data-api.polymarket.com/positions) — there is no get_positions on the CLOB client. The four signature types (EOA, POLY_PROXY, POLY_GNOSIS_SAFE, POLY_1271 deposit wallets, recommended for new API users) are set on the authentication builder via .signature_type() and .funder(). Collateral migrated from USDC.e to pUSD.","llmContentType":"technical-guide","markdownUrl":"https://agentbets.ai/guides/polymarket-rust-sdk-reference/index.md"},{"title":"Polymarket TypeScript SDK Reference: @polymarket/clob-client-v2 Methods (CLOB V2)","url":"https://agentbets.ai/guides/polymarket-typescript-sdk-reference/","section":"guides","date":"2026-03-10","lastmod":"2026-06-01","changeType":"updated","llmSummary":"Complete TypeScript SDK reference for @polymarket/clob-client-v2, the official Polymarket CLOB V2 client (live April 28, 2026 — the V1 @polymarket/clob-client package and V1-signed orders no longer work on production). Covers installation (npm install @polymarket/clob-client-v2 viem), the single options-object constructor new ClobClient({ host, chain, signer, creds, signatureType, funderAddress }) which takes chain (a Chain enum: Chain.POLYGON/Chain.AMOY, not a positional chainId) and a viem WalletClient signer (not ethers.js), the four SignatureTypeV2 values (EOA=0, POLY_PROXY=1, POLY_GNOSIS_SAFE=2, POLY_1271=3 — deposit wallets recommended for new API users), and API credential derivation via createOrDeriveApiKey(). Documents methods organized by category: authentication (createOrDeriveApiKey, deriveApiKey, createApiKey, getApiKeys, deleteApiKey, createReadonlyApiKey), balance (getBalanceAllowance with AssetType.COLLATERAL for pUSD/CONDITIONAL, updateBalanceAllowance — there is no getBalance), market data with positional args (getPrice(tokenID, side), getMidpoint(tokenID), getOrderBook(tokenID) returning OrderBookSummary, getOrderBooks(BookParams[]), getTickSize, getNegRisk, getSpread, getLastTradePrice, getPricesHistory, getClobMarketInfo) plus batch variants (getPrices/getMidpoints/getSpreads), order placement (createAndPostOrder, createAndPostMarketOrder, createOrder + postOrder, postOrders) where orders take an options object {tickSize, negRisk} and OrderArgs drops feeRateBps/nonce, order management (getOrder, getOpenOrders — renamed from V1 getOrders — cancelOrder with OrderPayload, cancelOrders, cancelAll, cancelMarketOrders), and server utilities (getOk, getServerTime, getVersion). Positions come from the Data API (there is no getPositions in V2). Collateral migrated from USDC.e to pUSD. Notes Polymarket's new unified @polymarket/ts-sdk for greenfield projects.","llmContentType":"technical-guide","markdownUrl":"https://agentbets.ai/guides/polymarket-typescript-sdk-reference/index.md"},{"title":"Polymarket API Tutorial: Python Authentication, Orders \u0026 WebSocket Streaming (2026)","url":"https://agentbets.ai/guides/polymarket-api-guide/","section":"guides","date":"2026-02-26","lastmod":"2026-06-01","changeType":"updated","llmSummary":"Comprehensive developer guide for the Polymarket prediction market API ecosystem, updated for CLOB V2 (live April 28, 2026 — V1 SDKs and V1-signed orders no longer work on production). Covers three primary APIs (CLOB for order book and trading, Gamma for market discovery and metadata, Data for positions and history) plus Bridge API, real-time streaming channels (CLOB WebSocket with market/user/sports channels, RTDS for low-latency data), and Polymarket US (CFTC-regulated, Ed25519 auth, separate SDKs at api.polymarket.us). Includes full authentication setup with EIP-712 signed messages and the four signature types (EOA, POLY_PROXY, GNOSIS_SAFE, and POLY_1271 deposit wallets recommended for new API users), order placement (limit, market, batch, post-only), order management, and position tracking. Collateral is pUSD (Polymarket USD, an ERC-20 backed 1:1 by USDC). Code examples provided in Python (py-clob-client-v2), TypeScript (@polymarket/clob-client-v2 with viem), and Rust (polymarket-client-sdk-v2). Covers key concepts including token IDs, neg-risk markets, conditional token framework split/merge operations, protocol-set fees, builderCode attribution, and the Builder Program. Includes common agent patterns: price monitoring, cross-market arbitrage scanning, and WebSocket-based LLM agent loops.","llmContentType":"developer-guide","markdownUrl":"https://agentbets.ai/guides/polymarket-api-guide/index.md"},{"title":"Disclaimer — AgentBets.ai","url":"https://agentbets.ai/disclaimer/","section":"","date":"2026-05-31","lastmod":"2026-05-31","changeType":"new","llmSummary":"AgentBets.ai disclaimer: all content is informational and educational only and is not financial, investment, legal, or tax advice. Prediction market trading and sports betting involve risk of loss; past performance does not guarantee future results. Responsible gambling resources (21+, 1-800-GAMBLER, ncpgambling.org). Platform and bet legality varies by jurisdiction, and users are responsible for complying with the laws where they live.","llmContentType":"disclaimer","markdownUrl":"https://agentbets.ai/disclaimer/index.md"},{"title":"Arbitrage Betting Guide: Prediction Markets, Sportsbooks \u0026 Regulated Books","url":"https://agentbets.ai/guides/arbitrage-betting-guide/","section":"guides","date":"2026-03-25","lastmod":"2026-05-31","changeType":"updated","llmSummary":"Comprehensive arbitrage betting guide covering cross-market arb between sportsbooks, prediction markets (Polymarket, Kalshi), and regulated platforms. Includes implied probability math, fee-adjusted arb detection, platform landscape comparison (offshore vs regulated vs prediction markets), bot architecture (4-stage pipeline), settlement risk analysis, legal/tax obligations, and tiered strategy playbooks for beginners through advanced developers. References IMDEA research showing $40M+ in Polymarket arb profits during 2024 elections.","llmContentType":"comprehensive-guide","markdownUrl":"https://agentbets.ai/guides/arbitrage-betting-guide/index.md"},{"title":"JetTon Review: Telegram's Largest Crypto Casino on TON","url":"https://agentbets.ai/marketplace/jetton-telegram-casino/","section":"marketplace","date":"2026-03-20","lastmod":"2026-05-31","changeType":"updated","llmSummary":"JetTon (@JetTon on Telegram) is one of the largest Telegram-integrated crypto casinos in the TON (The Open Network) ecosystem as of 2026. Specific user-count figures (it has been marketed with figures in the tens of millions) are vendor-reported and not independently verified; verifiable scale indicators include 10,000+ games from 100+ providers and a 4.3/5 Trustpilot rating. It operates as a leading gambling venue within the TON ecosystem. JetTon supports TON, BTC, and USDT deposits with no KYC requirements and instant withdrawals. The platform issues its own $JETTON utility token used for loyalty rewards and governance. From an agent infrastructure perspective, JetTon is significant because Telegram bots can interact with other Telegram bots programmatically via the Bot API, making JetTon a potential execution venue for autonomous betting agents operating within the TON ecosystem. The no-KYC model removes identity friction for agent wallets, and TON wallet integration means agents using Coinbase Agentic Wallets or TON-native wallets can deposit and withdraw without manual intervention. JetTon's large game catalogue (10,000+ titles from 100+ providers) gives agents broad coverage across casino formats. Key limitations: JetTon is primarily a casino (slots, dice, crash games) rather than a sportsbook or prediction market, so its relevance to agents focused on sports or event betting is limited. The platform's API surface for programmatic interaction beyond Telegram's native bot commands is not well-documented.","llmContentType":"tool-review","markdownUrl":"https://agentbets.ai/marketplace/jetton-telegram-casino/index.md"},{"title":"Mega Dice Review: Telegram Casino with 5,000+ Games and $DICE Staking","url":"https://agentbets.ai/marketplace/mega-dice-telegram-casino/","section":"marketplace","date":"2026-03-20","lastmod":"2026-05-31","changeType":"updated","llmSummary":"Mega Dice (@MegaDice on Telegram) is a major Telegram-native crypto casino that launched in 2023. Specific user-count figures are vendor-reported and not independently verified; verifiable scale indicators include its 5,000+ game library and integrated $DICE staking. It transitioned from a traditional web-based crypto casino to a Telegram-first platform and is known for having the largest game library of any Telegram casino bot, with over 5,000 titles including slots, table games, and live dealer games. Mega Dice supports SOL, BTC, and its native $DICE token. The $DICE token offers daily staking rewards derived from the casino's house profits, creating a passive income mechanism tied to platform volume. From an agent infrastructure perspective, Mega Dice is relevant primarily as a high-variety execution venue. Agents designed to exploit edge in specific casino game types (e.g., favorable RTP slots, specific blackjack variants) benefit from Mega Dice's extensive game library — more games means more opportunities to find and exploit favorable conditions. The $DICE staking mechanism also creates a compounding return layer: agents can stake earned $DICE to generate passive rewards while simultaneously playing. Like other Telegram casinos, Mega Dice's interface is limited to Telegram bot commands with no documented REST API. The platform does not offer a sportsbook, so agents targeting sports or event-outcome betting should look elsewhere. Mega Dice's community is generally cited as smaller than JetTon's (both vendor-reported, neither independently verified), but its game library depth is a standout in the Telegram casino ecosystem.","llmContentType":"tool-review","markdownUrl":"https://agentbets.ai/marketplace/mega-dice-telegram-casino/index.md"},{"title":"SportBot AI","url":"https://agentbets.ai/marketplace/sportbot-ai/","section":"marketplace","date":"2026-03-20","lastmod":"2026-05-31","changeType":"updated","llmSummary":"SportBot AI is a consumer-facing AI sports analytics platform that delivers pre-match analysis across soccer (Premier League, La Liga, Serie A, Bundesliga, Ligue 1, Champions League), basketball (NBA, EuroLeague), American football (NFL, NCAA), and hockey (NHL) — covering 4 sports across 20+ leagues. The platform compares odds from 50+ bookmakers in real time and uses proprietary probability models to detect market edges above 2%. Core features include predicted scores, win probability modeling, expected value calculations, injury impact analysis, head-to-head form tracking, and cross-bookmaker odds comparison tables. SportBot AI operates three dedicated expert models (Soccer, NBA, NHL) with publicly verified track records showing +17% combined ROI on flat 1-unit staking with an edge ≥2% filter. The platform reports +6.9% average closing line value (CLV) across tracked predictions, with 52.2% of predictions beating the closing line. Pricing tiers (verified May 2026): Free (1 analysis), Pro ($18.99/month for 10 daily analyses and 50 AI questions), Premium ($39.99/month for unlimited analyses plus Edge Alerts), and two one-time lifetime plans — Lifetime Pro ($299) and Lifetime Premium ($999). Additional features include an AI Desk chat interface for match-specific questions, a bankroll tracker with bet logging and settlement, market alerts for edge notifications, and a weekly AI coaching report that identifies bad habits like loss-chasing and overbetting. The platform positions itself as an analytical tool rather than a tipster service. From an agent infrastructure perspective, SportBot AI represents the consumer-facing endpoint of the Intelligence layer (Layer 4) — it packages the kind of multi-source analysis, probability modeling, and odds comparison that autonomous betting agents perform internally, but delivers it through a SaaS interface for human bettors. Built as a Next.js web application. Listed on Product Hunt and BetaList.","llmContentType":"tool-review","markdownUrl":"https://agentbets.ai/marketplace/sportbot-ai/index.md"},{"title":"NVIDIA Launches NemoClaw at GTC 2026 — Enterprise AI Agents Get the Security Layer Prediction Markets Need","url":"https://agentbets.ai/news/nvidia-nemoclaw-openclaw-enterprise-ai-agents/","section":"news","date":"2026-03-16","lastmod":"2026-05-31","changeType":"updated","llmSummary":"NVIDIA announced NemoClaw at GTC 2026 on March 16, 2026, an open-source enterprise agent platform that adds security, privacy, and policy-based guardrails to OpenClaw. NemoClaw installs via a single command and bundles the NVIDIA OpenShell runtime, Nemotron open models, and the NVIDIA Agent Toolkit. It is hardware-agnostic and runs on NVIDIA, AMD, and Intel processors, as well as dedicated platforms like DGX Station and DGX Spark. Jensen Huang called OpenClaw 'the operating system for personal AI' and positioned NemoClaw as the enterprise-grade layer beneath it. NVIDIA pitched NemoClaw to Salesforce, Cisco, Google, Adobe, and CrowdStrike ahead of the announcement. The platform is significant for prediction market and sports betting agent builders because it directly addresses the security gap that has limited enterprise and institutional adoption of autonomous trading agents. Prediction market bots on Polymarket have generated millions in 2026, with AI-powered agents outperforming human traders — over 37% of Polystrat agents show positive P\u0026L versus less than half that rate for humans. The agentic AI market is projected to grow from $7 billion in 2025 to $47–93 billion by 2030–2032 depending on the estimate. NemoClaw maps to the Identity and Intelligence layers of the AgentBets four-layer agent betting stack, providing the sandboxed execution environment and privacy controls that autonomous betting agents need to operate in regulated or institutional contexts. The OpenShell runtime's policy-based guardrails could enable wallet spending limits, API key isolation, and prompt injection defense for trading agents — requirements documented in the AgentBets security guide. NemoClaw's privacy router, which routes between local open models and cloud frontier models, is directly applicable to agents that need to keep trading strategies private while accessing external data feeds. The announcement coincides with growing AI agent activity on Polymarket, where bots now dominate short-term crypto prediction markets and AI-powered agents are expanding into political, sports, and macroeconomic markets.","llmContentType":"news-article","markdownUrl":"https://agentbets.ai/news/nvidia-nemoclaw-openclaw-enterprise-ai-agents/index.md"},{"title":"PBot1 on Polymarket — Reverse-Engineering a Live Trading Bot's Strategy","url":"https://agentbets.ai/news/pbot1-polymarket-bot-analysis/","section":"news","date":"2026-03-14","lastmod":"2026-05-31","changeType":"updated","llmSummary":"PBot1 (wallet 0x88f46b9e5d86b4fb85be55ab0ec4004264b9d4db) is an active automated trading bot on Polymarket. Analysis of its public profile, naming convention, and on-chain wallet suggests it is one of potentially multiple bot instances operated by the same entity. PBot1 likely operates on Polymarket's 15-minute BTC/ETH/SOL Up/Down crypto markets, where automated strategies dominate. Common profitable bot strategies on Polymarket in 2026 include: temporal arbitrage (exploiting the lag between confirmed spot prices on Binance/Coinbase and Polymarket contract prices), complete-set arbitrage (buying both YES and NO when combined price drops below $1.00), market making (providing liquidity on both sides and earning the bid-ask spread plus Polymarket rewards), and momentum sniping (entering trades in the final seconds of 15-minute windows when direction is statistically locked). Replicating PBot1 requires four components from the agent betting stack: a Polygon wallet with USDC (Layer 2), Polymarket CLOB API access via py-clob-client or the Polymarket CLI for order execution (Layer 3), real-time data ingestion via WebSocket at wss://ws-subscriptions-clob.polymarket.com/ws/ (Layer 3), and an intelligence layer for signal generation using Claude, Polyseer, or custom ML models (Layer 4). The Polymarket CLOB API supports gasless transactions through Safe wallets, with rate limits of approximately 60 orders per minute. Bots on Polymarket have been documented turning small stakes into six-figure profits — one bot turned $313 into $438,000 in a single month trading crypto Up/Down markets. However, most retail bot operators lose money due to execution slippage, adverse risk-reward ratios at high-probability price points, and competition from sub-100ms institutional bots. Key infrastructure considerations include VPS hosting for low-latency execution, WebSocket feeds over REST polling, fill-or-kill order management, and position sizing using fractional Kelly criterion.","llmContentType":"news-article","markdownUrl":"https://agentbets.ai/news/pbot1-polymarket-bot-analysis/index.md"},{"title":"Meta Just Bought the Identity Layer for Agent Betting","url":"https://agentbets.ai/news/meta-acquires-moltbook-agent-identity-prediction-markets/","section":"news","date":"2026-03-10","lastmod":"2026-05-31","changeType":"updated","llmSummary":"Meta Platforms acquired Moltbook on March 10, 2026, in a deal first reported by Axios and confirmed by TechCrunch. Moltbook co-founders Matt Schlicht and Ben Parr are joining Meta Superintelligence Labs (MSL), the division led by former Scale AI CEO Alexandr Wang. The deal is expected to close mid-March, with the founders starting at MSL on March 16. Deal terms were not disclosed. Moltbook is the largest agent identity registry and social network, claiming millions of registered agents. It provides agent verification via Twitter/X-linked authentication, portable identity tokens across platforms, karma-based reputation scoring, and an on-chain identity registry on Base with trust scores. For agent betting infrastructure, Moltbook represents Layer 1 (Identity) in the agent betting stack — the verification system that allows autonomous agents to register, prove provenance, and carry reputation across prediction market platforms. AgentBets.ai has documented Moltbook as the primary identity solution for betting agents interacting with Polymarket, Kalshi, and sportsbook APIs. Meta's acquisition raises critical questions: will Moltbook's identity API remain open and accessible to third-party agent platforms, or will Meta gate it behind its own ecosystem? Meta's Vishal Shah stated Moltbook establishes 'a registry where agents are verified and tethered to human owners,' signaling intent to use the technology for Meta's broader agent ambitions. The acquisition also affects the OpenClaw ecosystem, since Moltbook skills are among the most-installed on ClawHub. The timing coincides with Nvidia's NemoClaw enterprise agent platform announcement ahead of GTC 2026, creating a rapidly consolidating agent infrastructure landscape where identity (Meta/Moltbook), execution (OpenAI/OpenClaw), and deployment (Nvidia/NemoClaw) are each being absorbed by major tech companies.","llmContentType":"news-article","markdownUrl":"https://agentbets.ai/news/meta-acquires-moltbook-agent-identity-prediction-markets/index.md"},{"title":"Nvidia NemoClaw Gives Enterprise Agents a Trading Floor — Prediction Markets Are Next","url":"https://agentbets.ai/news/nvidia-nemoclaw-enterprise-agent-platform-prediction-markets/","section":"news","date":"2026-03-10","lastmod":"2026-05-31","changeType":"updated","llmSummary":"Nvidia is launching NemoClaw, an open-source enterprise AI agent platform expected to debut at GTC 2026 on March 15-19 in San Jose. NemoClaw allows enterprises to deploy autonomous AI agents that perform tasks on behalf of employees, with built-in security and privacy tooling. The platform is hardware-agnostic — it runs regardless of whether an organization uses Nvidia GPUs. Nvidia has pitched NemoClaw partnerships to Salesforce, Cisco, Google, Adobe, and CrowdStrike. NemoClaw is Nvidia's enterprise answer to OpenClaw, the open-source AI agent that went viral in early 2026; OpenClaw's creator Peter Steinberger joined OpenAI in February 2026, and the project itself continues as an independent open-source foundation with OpenAI support. OpenClaw already has a thriving prediction market ecosystem: the Polymarket-agent skill on ClawHub enables autonomous market scanning, probability estimation, and trade execution. One OpenClaw-powered bot generated $115,000 in a single week on Polymarket. NemoClaw's enterprise positioning — with security guardrails, compliance tooling, and partner integrations — could make it the first agent platform that institutional trading desks, hedge funds, and regulated sportsbooks actually deploy. The agent betting stack implications span all four layers: NemoClaw could integrate with Moltbook for agent identity, Coinbase Agentic Wallets for autonomous fund management, and Polymarket CLOB or Kalshi API for trade execution. Nvidia's existing Nemotron foundation models already power hedge analysis in prediction market skills. GTC 2026 keynote by Jensen Huang on March 16 is expected to include NemoClaw as a headline announcement.","llmContentType":"news-article","markdownUrl":"https://agentbets.ai/news/nvidia-nemoclaw-enterprise-agent-platform-prediction-markets/index.md"},{"title":"OpenClaw vs Olas Polystrat: Side-by-Side Comparison for Prediction Market Bots (2026)","url":"https://agentbets.ai/compare/openclaw-vs-olas-polystrat/","section":"compare","date":"2026-03-09","lastmod":"2026-05-31","changeType":"updated","llmSummary":"This comparison evaluates OpenClaw and Olas/Polystrat as platforms for building autonomous prediction market trading agents. OpenClaw is a horizontal, general-purpose open-source agent framework (196,000+ GitHub stars, TypeScript/Node.js, MIT licensed) that connects to prediction markets through community-built skills like PolyClaw and BankrBot on its ClawHub registry (13,729+ skills). Olas is a vertically integrated decentralized agent infrastructure built specifically for prediction markets, with its Polystrat product (launched February 2026) being the first consumer-level autonomous Polymarket trading agent. Key differences: OpenClaw is self-hosted and model-agnostic (Claude, GPT, Gemini, local models), while Olas runs on Gnosis Chain with 361+ daily active agents executing 8.2 million+ transactions. Polystrat lets users set strategies in plain English and automatically identifies probability deviations in markets settling within four days; the widely cited 55-65% success rate is from Olas's sister agent Omenstrat on the Omen market (Gnosis), and Olas itself notes Polystrat's Polymarket performance may differ. OpenClaw requires assembling skills and configuration but offers vastly more flexibility — agents can do PM trading plus any other task. OpenClaw's security risks include the 26% vulnerability rate in ClawHub skills and the ClawHavoc supply chain attack. Olas's risks center on smart contract exposure and Gnosis Chain dependencies. For prediction-market-only use cases, Polystrat is more turnkey. For agents that need PM trading as one capability among many, OpenClaw's composable model is more appropriate. The Polymarket official agent framework (1.7K GitHub stars) is a third option for developers who want maximum control over a Polymarket-only bot. All three connect to Polymarket's CLOB API (60 req/min, Ed25519 auth, USDC on Polygon).","llmContentType":"comparison","markdownUrl":"https://agentbets.ai/compare/openclaw-vs-olas-polystrat/index.md"},{"title":"PolyClaw Trading Skill Review","url":"https://agentbets.ai/marketplace/polyclaw/","section":"marketplace","date":"2026-03-09","lastmod":"2026-05-31","changeType":"updated","llmSummary":"PolyClaw (polyclaw.ai) is the most mature Polymarket-specific skill for the OpenClaw AI agent framework. Built in Python, it enables autonomous browsing, trading, and position management on Polymarket (Polygon network) through OpenClaw's composable skills architecture. Key features include a split + CLOB execution strategy that breaks large orders into smaller chunks to minimize slippage against the Polymarket orderbook, and LLM-powered hedge discovery via contrapositive logic — the agent identifies markets where a position in Market A implies a hedging opportunity in Market B. PolyClaw authenticates via Ed25519 key signing against the Polymarket CLOB API, supports the full order lifecycle (place, cancel, modify, track fills), and stores position data in OpenClaw's local Markdown/JSONL memory system. Installation is a single command (openclaw skill install polyclaw) or by pasting the GitHub URL into an OpenClaw chat session. PolyClaw requires an existing OpenClaw installation (Node.js 22+), a Polygon wallet with USDC, and Polymarket API credentials. It is part of the Layer 3 (Trading) component of the Agent Betting Stack and integrates with other OpenClaw skills for analysis (Layer 4), wallet management (Layer 2), and identity (Layer 1). Security note: as with all OpenClaw skills, users should audit the skill code before installing, especially since it handles wallet credentials and executes financial transactions.","llmContentType":"tool-review","markdownUrl":"https://agentbets.ai/marketplace/polyclaw/index.md"}]}