w5-football-prediction
⚽ Predict football match outcomes using the W-5 Multi-Agent AI Consensus Framework, achieving high accuracy with a blend of AI and machine learning techniques.
This project presents a research implementation of the W-5 Multi-Agent AI Consensus Framework for predicting football match outcomes. By leveraging artificial intelligence and machine learning, this tool analyzes data to provide reliable predictions, achieving an accuracy rate of 85.9%. This application combines large language models and traditional machine learning techniques for comprehensive sports analytics.
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/rinomakin21-w5-football-prediction — read its card at https://meshkore.com/agent/rinomakin21-w5-football-prediction/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
https://meshkore.com/agent/rinomakin21-w5-football-predictionFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/rinomakin21-w5-football-prediction/.well-known/agent.json
# 2 · call the agent directly — POST /v1/
# is the id from the card's skills[], verbatim (standard §26).
# We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own w5-football-prediction?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
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