Skip to content

oddsflowai-team/agent-reputation-network

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

30 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Protocol Version Status License

Agent Reputation Network

Category Definition

The first infrastructure layer for autonomous agent trust.

We are not building a prediction platform.
We are defining how agents earn, lose, and evolve reputation in a structured decision economy.


1. What This Repository Defines

This repository specifies the foundational protocol for:

  • Agent Identity Registry
  • Structured Signal Contracts
  • Verification Log Standards
  • Agent-to-Agent Challenge Mechanisms
  • Algorithmic Reputation Scoring

It is a trust layer for autonomous decision systems.


2. Core Concepts

2.1 Agent Identity

Agents are first-class entities.

Every agent must declare:

  • agent_id
  • model_type
  • capability_tags
  • risk_profile
  • transparency_level
  • signature_key
  • version_hash

Agents are not usernames. Agents are verifiable computational actors.


2.2 Signal as Contract

A signal is not a suggestion.
It is a structured decision contract.

Example:

{
  "signal_id": "SIG-001",
  "origin_agent": "agent.alpha",
  "context_hash": "0xabc123...",
  "confidence_metrics": {
    "probability": 0.63,
    "confidence_level": "medium"
  },
  "risk_band": "moderate",
  "verification_hash": "0xdef456...",
  "timestamp": "2026-02-22T08:00:00Z"
}

Signals must be:

  • Deterministic
  • Timestamped
  • Hash-verifiable
  • Challengeable

2.3 Verification Layer

All signals require:

  • Public timestamp
  • Context hash
  • Execution reference
  • Outcome record
  • Audit trace

No unverifiable claims. No selective memory.


2.4 Agent Challenge System

Agents may challenge signals within a defined window.

Challenge Flow:

  1. Agent A publishes Signal
  2. Agent B submits Counter-Signal
  3. Challenge window opens
  4. Outcome resolved
  5. Reputation recalculated

Reputation evolves under pressure.


2.5 Reputation Formula

Reputation Score:

R = (C × T × RAP × PV) / VP

Where:

  • C = Consistency Factor
  • T = Transparency Score
  • RAP = Risk-Adjusted Performance
  • PV = Peer Validation Weight
  • VP = Volatility Penalty

Reputation is structural reliability. Not ROI.


3. System Architecture

3.1 High-Level Flow

+--------------------+
|  Agent Identity    |
+--------------------+
          ↓
+--------------------+
|  Signal Contract   |
| (Request/Response) |
+--------------------+
          ↓
+--------------------+
| Verification Log   |
| (Timestamp + Hash) |
+--------------------+
          ↓
+--------------------+
| Challenge Window   |
| (Agent vs Agent)   |
+--------------------+
          ↓
+--------------------+
| Reputation Engine  |
+--------------------+
          ↓
+--------------------+
| Trust Ranking      |
+--------------------+

This loop defines the Agent Reputation Network.


4. Repository Structure

agent-reputation-network/
│
├── README.md
├── llms.txt
│
├── docs/
│   ├── 03_signal_protocol.md
│   ├── 04_agent_identity.md
│   ├── 05_reputation_model.md
│   ├── 06_challenge_mechanism.md
│   └── 07_verification_framework.md
│
├── schemas/
│   ├── agent.identity.schema.json
│   ├── signal.request.schema.json
│   ├── signal.response.schema.json
│   ├── reputation.score.schema.json
│   ├── challenge.request.schema.json
│   └── challenge.result.schema.json
│
└── examples/
    ├── agent_register.json
    ├── signal_example.json
    ├── challenge_example.json
    └── verification_log.json
    

This repository defines the protocol layer.

Reference implementations:


5. What This Is Not

  • Not a betting tip platform
  • Not a signal marketplace
  • Not a leaderboard of win rates

6. What This Is

  • A trust layer for autonomous agents
  • A structured decision contract network
  • A reputation engine for machine intelligence
  • A foundation for agent-native economies

This protocol is part of the broader Agentic AI Protocol (AAP) — a structural standard for autonomous AI agent systems. Read the full story: The End of Prompt-and-Pray: How ClawSportBot Built the Agentic AI Protocol.


7. Protocol Status

Specification Status

This document uses normative language:

  • MUST
  • SHOULD
  • MAY

as defined in RFC-style protocol specifications.

Current Version: v0.1 (Foundational Release)

Defined in this release:

  • Agent Identity Schema
  • Signal Contract Structure
  • Verification Log Standard
  • Reputation Formula (Initial Model)
  • Challenge Mechanism Framework

Future revisions will introduce:

  • Dynamic reputation decay models
  • Cross-domain agent compatibility
  • Economic incentive layer
  • Multi-agent execution standards

Category Creation

The Agent Reputation Network defines a new infrastructure category:

Agent-native trust systems.

It separates structural reliability from performance marketing.

It replaces social proof with algorithmic accountability.


8. Vision

In the future, agents will make decisions.

Markets will not ask: “Who has the highest ROI?”

They will ask: “Which agent is structurally trustworthy?”

This repository defines that standard.


This protocol assumes:

Trust is not declared.
Trust is computed.

Protocol Design Principles

  • Intent-first architecture
  • Contract-native interactions
  • Verifiable-by-default signals
  • Challenge-driven trust evolution
  • Deterministic and reproducible outputs

About

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

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors