Pred-Data Get odds data

Odds data tutorials

Odds data tutorials

Five step-by-step tutorials for working with live odds data: Python, no-code with n8n or Make, Claude and ChatGPT via MCP, arbitrage and +EV with Odds-API.io, and prediction-market prices versus bookmaker odds.

Try Odds-API.io Quick answer

Last updated: · Written and reviewed by Ken Lin

Partner link Partner link — we may earn a commission. See our affiliate disclosure.

Quick answer

Five practical tutorials for pulling and analysing live odds. Every endpoint and parameter comes from the official Odds-API.io documentation, each tutorial says exactly how its code was tested, and the maths links to our calculators and glossary. Educational only — not betting or financial advice.

Live odds in PythonStep-by-step Python tutorial: list sports, find events, fetch odds from several bookmakers, compute implied probability and overround, batch with /odds/multi and stream live prices over WebSocket.No-code odds alerts with n8n or MakeBuild a no-code workflow that pulls value bets or arbitrage opportunities from Odds-API.io on a schedule, filters them and logs them to Google Sheets, in n8n or Make.Odds data in Claude and ChatGPT via MCPSet up the official Odds-API.io MCP server in Claude Code, Claude Desktop, Cursor or Codex, ask questions about live odds in plain language, and the right way to use the API from ChatGPT.Arbitrage and +EV finder with Odds-API.ioUse the Odds-API.io /arbitrage-bets and /value-bets endpoints in Python, re-check the margins yourself, scale stakes within bookmaker limits and understand the caveats.Prediction-market prices vs bookmaker oddsPull Polymarket, Kalshi and bookmaker prices for the same sports event from one API, convert them to implied probabilities, compare them with a no-vig bookmaker line and read order-book depth.

About this guide

Pred-Data publishes independent, source-linked explainers about prediction markets and the AI tools used around them. Every factual claim on this page links to a primary or reputable secondary source, checked on the date shown above. We do not run a trading venue, take bets, or give personal advice.

Author: Ken Lin · Corrections: if you spot an error, we review it and date-stamp the fix.

Affiliate disclosure

Some links on this site (marked “Partner link”) may be affiliate links: if you sign up through them we may earn a commission at no extra cost to you. Partner links use rel="sponsored nofollow" and never change our assessment. Platform links in our comparison tables are plain, non-affiliate links to official sites.