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Real-time sports betting odds from 21+ sportsbooks across 38+ sports with free tier (1K req/month).
Parlay API provides real-time and historical sports odds data pulled from more than 30 sportsbooks across 90+ sport keys. Endpoints cover live odds, period markets, and historical data going back to 2005, including over 30 million prop closing lines since 2022. The service also supports prediction market data from Kalshi alongside traditional sportsbook odds, and offers line movement tracking for closing-line analysis.
Access is authenticated via an API key, with a Python client available (pip install parlay-api) and documented REST endpoints for sports odds, live odds with in-play games, and historical/period market data. WebSocket and SSE streaming are available starting at the Business plan tier, with coalescing intervals varying by plan (1s, 0.5s, or raw/uncoalesced). Usage is metered through a credit system, where a single request can consume multiple credits depending on the number of markets and regions requested.
The product targets developers building sports data applications such as odds comparison tools, trackers, spreadsheets, or prop-pick models, including AI agent integrations (drop-in prompts for Claude, GPT, and Cursor, plus llms.txt and agents.json support). A free tier offers 1,000 credits per month without a credit card. Paid self-serve plans do not automatically include redistribution, public display, or commercial-use rights; those require contacting the provider directly.
Yes, the free tier includes 1,000 credits per month with no credit card required.
Usage is measured in credits, where one request can cost more than one credit; for example, one market in one region costs 1 credit while three markets in one region cost 3 credits.
A Python client is available via pip install parlay-api, and the docs include cURL, Python, and JavaScript examples.
Yes, WebSocket and SSE live streaming is available starting at the Business plan, with coalescing intervals of 1s for Business, 0.5s for Enterprise, and raw (no coalescing) for Scale.
It targets developers building sports odds tools such as trackers and comparison apps, including AI agent use cases with drop-in prompts for Claude, GPT, and Cursor plus llms.txt and agents.json support.
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