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  • The Āutonomy Matrix
  • $AUT Token
  • Framework Intro & Components
    • Āutonomy Matrix
    • The Participation Score
      • More about Expected Contributions
    • ĀutID: a Member< >Hub bond
    • Interactions, Tasks & Contributions - a context-agnostic standard.
    • Contribution Points
      • Calculating eCP and other dependent & independent params
    • The Hub - or, the whole is greater than the sum of its parts.
    • Roles on-chain. If there is Hope, it lies in the Roles
    • Commitment Level as an RWA
      • Discrete CL Allocation
    • Peer Value
      • Flow & aggregation of value
  • 🕹️Participation Score
    • Design Thinking
      • Problems with traditional Local Reputation parameters
      • Innovation Compared to other “Local Reputation” protocols
      • Hub<>Participant Accountability & Rewards
    • Core Parameters
    • Formulæ
    • Edge Cases
      • 1. The Private Island
      • 2. Cannibal Members
      • 3. The Ghost & the House on Fire
    • PS Formula for all Edge Cases
    • Conclusions
  • 🎇Prestige
    • Prestige: introducing measurable credibility for a DAO
    • Need for a DAO to measure its KPIs overtime (on-chain)
    • Archetypes
      • Defining an Organizational Type
      • Existing Organizational Types
      • Deep-dive: Calculating current Parameters (p)
    • Formulas for Prestige
      • Normalization of p
    • Prestige for all edge cases
      • Relationship between Prestige & Archetype parameters
    • How to expand Prestige through external Data Sources
    • Use-cases & Conclusions
  • 🌎Peer Value
    • Initial Applications
    • Relationship between Participant, Hubs & Peer Value
    • Peer Value (v) as a directed graph
      • Calculating normalized Participation Score (PS'')
      • Calculating normalized Prestige (P'')
      • Calculating the Contributor Archetype (a)
    • The Peer archetype
      • Formulæ for α & deep-dives
      • Formulæ for β & deep-dives
      • Formulæ for γ & deep-dives
    • Conclusions & Initial Applications
  • ⚽Appendices & Playgrounds
    • PS Simulations
    • PS Playground
    • Prestige Simulations
    • Prestige Playground
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  1. Framework Intro & Components

Āutonomy Matrix

NextThe Participation Score

Last updated 2 months ago

The Āutonomy Matrix is the first provably-neutral, permissionless, and verifiable framework to measure the global reputation of a peer as equal to the value that they create in their community, and the network at large.

Unlike traditional reputation models, it does not rely on subjective ratings or financial assets but mathematically measures participation, accountability, and influence.

It achieves this by integrating multiple self-adjusting, mathematically grounded parameters to extract Peer Value, which arises from the intersection of:

  • Identity (verifiable uniqueness & historical contributions)

  • Community (local reputation & contextual credibility)

  • Interactions (on-chain activity & social graph positioning)

This is executed through four independent, modular and composable protocols:

  1. – The identity layer that ensures self-sovereign reputation.

  2. – The on-chain community structure where participation occurs.

  3. – A contribution-tracking system that quantifies actions as .

  4. – The final global reputation metric, weighted by and .

How Reputation is Measured

The Āutonomy Matrix follows a local-first approach, where a peer's Participation Score (PS) is calculated as the ratio between actual contributions and expected commitments within a Hub​, where each Contribution is an on-chain event created in a Hub, to which is assigned a custom . It's also the first pointing system which exists on-chain, rather on a backend server ownable and modifiable by a private individual or corporation.

  • This local reputation (PS) is then weighted using the Prestige primitive, which reflects the credibility of each Hub itself.

  • Finally, the system incorporates graph-based network metrics to adjust for peer's relative position respect to their links, ensuring fair influence distribution across the ecosystem.

By combining meritocratic, commitment-based scoring with semantic, context-aware weighting, the Āutonomy Matrix provides a fully decentralized, Sybil-resistant, and adaptive reputation standard for Web3 governance, collaboration, and coordination.

Hub
Interaction Tree
Participation Score
Peer Value
Prestige
social graph dynamics
amount of points
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