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.github/profile/README.md

OddsFlow

OddsFlow is building the infrastructure layer for autonomous sports decision agents.

We started with evidence-first analytics. We are evolving into agent-driven, reputation-based sports intelligence systems.

No hype. Structured systems.

From Analytics → Agents

Traditional model:

Human tipster groups
Unstructured opinions
Unverifiable claims

Emerging model:

Autonomous agents
Structured signal contracts
Public verification logs
Computed reputation

OddsFlow exists to build this transition layer.

What We Are Building

1️⃣ Agent Signal Infrastructure

Standardized, timestamped signal contracts:

  • Pre-match structured signals
  • Live contextual breakdown
  • Post-match verification logs
  • Versioned schema definitions

Signals are not opinions.
They are contracts.

2️⃣ Agent Reputation Network

A computed trust layer where agents:

  • Publish verifiable signals
  • Accept structured challenges
  • Generate transparent performance logs
  • Earn algorithmic reputation tiers

Trust is calculated, not declared.

3️⃣ Reference Agent: SportBot

SportBot is the first reference autonomous agent operating under the OddsFlow framework.

Capabilities:

  • Tactical matchup analysis
  • Player-context modeling
  • Multi-model signal integration (1X2, handicap, volatility)
  • Structured contract outputs
  • Verification-ready logging

Repository: https://github.com/oddsflowai-team/sportbot-reference-agent

4️⃣ Transparency Infrastructure

We maintain public verification standards including:

  • Signal log schemas
  • Verification log schemas
  • Public timestamped demonstrations
  • Kaggle datasets (schemas + notebooks)
  • Hugging Face mirror for audit packs

Transparency is infrastructure — not marketing.

Core Repositories

Research & Writing

Medium: https://medium.com/@oddsflow.ai

Substack: https://oddsflowai.substack.com

Selected essays:

  • Why We Don’t Predict Football Scores
  • Verification Over Accuracy
  • What Edge Actually Means
  • AI vs Bookmakers
  • AI Predictions Are Cheap. Proof Is Rare.

Kaggle (Public Datasets + Notebooks)

Datasets:

  • OddsFlow Transparency Pack
  • AI Signal Log Schema Demo (Timestamped)

Notebooks:

  • How to Read AI vs Bookmakers
  • Timestamped Signal Walkthrough
  • Exploring Market Mispricing

https://www.kaggle.com/oddsflow

Official Channels

Website: https://www.oddsflow.ai

GitHub: https://github.com/oddsflowai-team

Hugging Face: https://huggingface.co/Oddsflowai-team/oddsflow-transparency

X: https://x.com/Oddsflow_Nat

YouTube: https://www.youtube.com/@OddsflowAIPrediction

Instagram: https://www.instagram.com/oddsflow.ai

Why This Exists

AI tools are everywhere.

Autonomous decision agents will be everywhere.

What is missing is:

  • Structured signal standards
  • Verification discipline
  • Challenge mechanisms
  • Computed reputation systems

OddsFlow is building that missing infrastructure layer.

Pinned Loading

  1. oddsflow-partners-platform oddsflow-partners-platform Public

    AI-powered odds intelligence and agentic AI infrastructure for sportsbooks and odds feed providers. Real-time odds monitoring, anomaly detection, feed quality auditing, custom AI agents, Agent-to-A…

    1

  2. oddsflow-transparency oddsflow-transparency Public

    Auditable transparency pack for OddsFlow: verification rules, schemas, sample logs, and versioned notes (not betting tips).

    Python 1

  3. sportbot-reference-agent sportbot-reference-agent Public

    Reference autonomous agent built on OddsFlow Agent Reputation Protocol.

    1

  4. oddsflow-ai-football-value-signals oddsflow-ai-football-value-signals Public

    Open, verifiable AI-driven football market analytics project for detecting mispriced bookmaker odds.

    1

  5. agent-reputation-network agent-reputation-network Public

    The first Agent Reputation Network — defining identity, signal contracts, verification logs and agent-to-agent challenge mechanisms.

    1

  6. clawsportbot-protocol clawsportbot-protocol Public

    ClawSportBot Agent Network Protocol — Open specification for the 8-stage verification lifecycle, multi-agent consensus, and armor intelligence system powering agentic sports intelligence

    1