Scottfree Sports Docs

API, CLI, MCP, and Data Reference

Work with daily model probabilities, current odds, historical results, product datasets, and research context through the Scottfree Sports web app, REST API, Python CLI, and MCP.

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Explore the API

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Developer API

REST API with JSON responses, multiple authentication methods, account usage, predictions, odds, results, summaries, and Sports Data refresh downloads.

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Claude Desktop / Cursor via MCP

The sfs-mcp server plugs into Claude Desktop, Claude Code, Cursor, and other MCP-capable assistants. Ask for model probabilities, line movement fields, odds, results, summaries, consensus, weather, injuries, and market context through 18 Scottfree Sports tools.

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Multi-Sport Coverage

Comprehensive predictions for MLB, NFL, NBA, NHL, NCAAF, and NCAAB with real-time odds and analytics across all major leagues.

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Machine Learning Models

Nine model probability columns across three markets: totals, moneyline, and spread. Outputs are research signals, not guaranteed betting advice.

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Real-Time Predictions

Scheduled model artifacts, current slate filtering, odds refreshed every two hours, and tiered rate limiting for customer API access.

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Advanced Analytics

Deep statistical analysis, historical trends, and predictive modeling for sports-data research.

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Secure & Reliable

API-key authentication, customer-scoped quotas, account usage visibility, and operator runbooks for subscription and data-pipeline events.

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Flexible Pricing

Sports Data ($19/mo), Sports Basic ($39/mo), and Sports Premium ($59/mo). Basic includes the web app and REST API; Premium adds CLI and MCP access.

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