Forward Future Tools Library
Footix
Footix gives developers and football analysts live football data, xG-based Monte Carlo simulations, player statistics, and market comparisons through MCP or HTTP JSON-RPC.
Try Footix →
footix.org·Freemium
›What is Footix?
Footix is a football data service built around an MCP server with 15 analysis tools. It combines live feeds, xG-calibrated Poisson simulations with 10,000+ draws, player data, semantic search across past analyses, and model-versus-market comparisons. It works with Cursor, Claude Desktop, Codex, other MCP clients, and standard HTTP JSON-RPC integrations.
›What are the pros and cons of Footix?
Strengths
Exposes model calibration through Brier scores instead of returning only opaque probabilities
Uses multiple live-data sources with automatic fallback when a source fails
Supports both MCP clients and conventional HTTP JSON-RPC integrations
Includes player, match, xG, odds, and historical-analysis data in one service
Provides revocable keys, quotas, consent before agent connections, and access audit logs
Trade-offs
The Preview tier is limited to 50 requests per day
Preview data can be delayed by 24 hours, while fresher updates depend on paid tiers
Real-time coverage prioritizes the Premier League, Ligue 1, La Liga, Serie A, and Bundesliga, with broader coverage supplied through fallback sources
The service is a data and agent interface rather than a visual football dashboard
›What are Footix’s key features?
Monte Carlo Poisson simulations calibrated with xG, with probability outputs and a Brier score for each match
15 MCP tools for match simulation, status checks, recent matches, value-bet queries, and other football analysis tasks
Cascading live feeds from SofaScore, FotMob, ESPN, LiveScore, and Playwright
Six-layer player database covering live lineups, season statistics, deep statistics, offline ratings, match micro-analytics, and 1v1 duels
Semantic search across previous lessons and analyses using local embeddings
Model-versus-market comparisons using bookmaker and prediction-market data to calculate expected value
HTTP JSON-RPC access for Python scripts, workers, and custom backends without MCP
›What are the best use cases for Footix?
Connect a Cursor, Claude Desktop, or Codex agent to live football data
Simulate match outcomes and inspect xG, probabilities, and Brier calibration scores
Compare model probabilities with available market odds to identify expected-value gaps
Query player lineups, season statistics, ratings, and match-level performance data
Retrieve football data from a Python script, worker, or custom backend through HTTP JSON-RPC
Search earlier analyses and lessons when preparing new match research
›What is the pricing for Footix?
Freemium
›Who is Footix best for?
developersUseful for developers who want football data and analysis tools available through MCP or HTTP JSON-RPC.
football analystsMatch analysts can combine live feeds, xG simulations, player data, and market comparisons in one queryable service.
soloThe free Preview access and guided agent connection make it practical for individual experimentation, within the daily request limit.
small teamSmall research teams can share an agent-access workflow with revocable keys, quotas, consent controls, and audit logs.
Not for
- Teams that need a visual dashboard instead of an MCP or API-based football data service
- Users who need unrestricted real-time coverage across every competition on the free tier
- Buyers looking for betting recommendations rather than raw data, simulations, and market comparisons
›What are the best Footix alternatives?
AgentmemoryChoose this instead if the main requirement is governed long-term memory for coding agents and MCP workflows rather than football data.→
BrainTubeChoose this instead if you need a general-purpose knowledge base and universal MCP server rather than a football-specific data service.→
Vibe Coding Workbench→
Fable5→