AI-Ready Arbitrage Odds API

87+ bookmakers, SDKs and an MCP server built for AI agents and automated pipelines — provided by SportsGameOdds

The AI-Ready Arbitrage Odds API covers 87+ bookmakers with a normalised data model, five official SDKs, and an MCP server for AI-assisted development. This API is provided by SportsGameOdds. This guide covers the data, format, pricing, and how to integrate it into agentic and automation workflows.

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What data the AI-Ready Arbitrage Odds API provides

Normalised odds across 87+ bookmakers, with consensus and prediction-market data

This feed targets developers and AI builders who want a broad, machine-readable odds layer to run their own detection logic on.

Coverage is 87+ bookmakers, 875+ markets and 53+ leagues (verified June 2026).

What you get back:

  • Raw odds — moneyline, spread, totals, player props and alternate lines across all books.
  • Consensus and fair odds — algorithmically calculated across books, juice removed.
  • Results and settlement — scores and graded outcomes alongside odds, no second API.
  • Partial-game markets — halves, quarters, innings, periods and sets.
  • Prediction markets — Kalshi and Polymarket lines next to sportsbook odds.

There is no built-in arbitrage or +EV endpoint. You run detection on the normalised data, using the fair-odds fields as your benchmark.

AI-Ready Arbitrage Odds API data format and delivery

REST v2 JSON, an oddID schema, SDKs in five languages, and an MCP server

The v2 API is REST over HTTPS returning JSON. Authenticate with an x-api-key header or an apiKey query parameter.

Every market is keyed by a structured oddID: statID-statEntityID-periodID-betTypeID-sideID.

The core endpoints:

  • GET /events — games with odds, scores, props and results in one call.
  • GET /markets, /leagues, /sports, /teams, /players — reference metadata.
  • GET /account/usage — your rate limits and remaining quota.

Official SDKs cover JavaScript/TypeScript, Python, Ruby, Go and Java, with auto-pagination and typing built in.

WebSocket streaming (via Pusher) pushes live updates on the All-star plan. An MCP server feeds context to Claude Code, Cursor and Copilot.

AI-Ready Arbitrage Odds API pricing and the opportunity it unlocks

Per-event billing — one event with 200 markets counts as one object

Billing is per event object, not per market. One event returning 200 markets consumes a single object (verified June 2026).

The published plans:

  • Amateur — free, 2,500 objects/month, 10 req/min, 8 leagues, 9 books, no card required.
  • Rookie — $149/month, 100,000 objects, 50 req/min, 17 leagues, 77 books.
  • Pro — $499/month, unlimited objects, 300 req/min, 53 leagues, 82 books, historical data.
  • All-star — custom, WebSocket streaming and maximum update frequency.

For an aggregator or SaaS product, weigh the plan against downstream revenue, not just personal arbing return.

The free tier is enough to validate coverage and latency before you commit a dollar.

Integration and systems to build with the AI-Ready Arbitrage Odds API

Agentic systems, AI pipelines, and multi-bookmaker aggregators

The normalised model means you compare prices across 87+ books with no per-book mapping layer. Systems this enables:

  1. Python arbitrage finder — scan /events across books and compute guaranteed-margin opportunities (their docs include a worked example).
  2. AI betting agent — feed normalised odds straight into an LLM's tool layer; the MCP server speeds up code generation.
  3. n8n / Make workflow — one HTTP Request node retrieves all books at once, cutting the number of calls.
  4. Odds-comparison or alert SaaS — build a best-price dashboard or per-user alert product on the unified feed.

Because results and settlement ship with the odds, you can grade bets and audit ROI without a second data source.

See the done-for-you setup service for a ready-built pipeline on top of this feed.

AI-Ready Arbitrage Odds API pros and cons

Honest assessment for AI and automation developers

  • Five official SDKs plus an MCP server — genuinely AI-development friendly
  • Per-event billing is cost-efficient versus per-market pricing
  • Consensus/fair odds, settlement data, and prediction markets in one feed
  • Eternally free tier with no credit card to validate coverage
  • No built-in arbitrage or +EV endpoint — you build detection yourself
  • WebSocket streaming requires the custom-priced All-star plan
  • Free tier updates roughly every 10 minutes — not for live trading
  • Affiliate / go URL is a placeholder until confirmed

AI-Ready Arbitrage Odds API Access

Test the normalised odds feed, SDKs and MCP server on the free tier first.

Get API Access ↗

AI-Ready Arbitrage Odds API — Frequently Asked Questions

The AI-Ready Arbitrage Odds API is provided by SportsGameOdds. It delivers normalised odds from 87+ bookmakers (verified June 2026) via a REST v2 API with official SDKs for JavaScript/TypeScript, Python, Ruby, Go and Java, plus an MCP server for AI-assisted development.

It ships an MCP server for Claude Code, Cursor and Copilot, official SDKs in five languages, and an llms.txt context file. Its normalised oddID schema and consensus/fair odds fields reduce the pre-processing burden for AI agents and LLM-based pipelines.

SportsGameOdds advertises 87+ bookmakers, 875+ markets and 53+ leagues, including DraftKings, FanDuel, BetMGM, Circa, Pinnacle, Bet365 and PrizePicks (verified June 2026). It also includes Kalshi and Polymarket prediction-market data.

No. SportsGameOdds provides odds plus algorithmically calculated consensus and fair odds, but there is no built-in +EV or arbitrage endpoint — you run detection logic on the normalised data yourself. Their docs include a Python arbitrage calculator example to start from.

Billing is per event object, not per market — one event with 200 markets counts as one object. Plans (verified June 2026): Amateur free (2,500 objects/month), Rookie $149/month (100,000 objects), Pro $499/month (unlimited objects, historical data), and All-star custom (WebSocket streaming). Confirm the current tiers before subscribing.

Yes. The REST JSON format integrates with n8n HTTP Request nodes and any LLM agent framework. The MCP server lets coding assistants generate accurate integration code, and the SDKs handle auto-pagination and typing. Build a test workflow on the free tier first.

Coverage spans 53+ leagues including NFL, NBA, MLB, NHL, EPL, La Liga, Champions League, NCAA and UFC, plus partial-game markets and player props. The free Amateur tier is limited to 8 leagues and 9 bookmakers, so confirm your target leagues are covered before building against it.

Yes. The Amateur plan is eternally free with 2,500 objects/month, 10 requests/minute, 8 leagues and 9 bookmakers, and no credit card required to start. Update frequency on the free tier is about 10 minutes — fine for testing, not for live trading.