AussieOS — Protocol Specification v1.0

FairGo

The Trust Layer for Autonomous Systems

Wallets prove ownership. FairGo proves trust.

Fairness used to be a vibe. This is the specification for making it a variable.

FGV Score Range

0 to 1

Four Sub-Metrics

Access. Treatment. Outcome. Disclosure.

Pilot Window

90 Days

Read the Specification See the Dashboard

00 / Status

What FairGo is today

Three tiers, stated plainly.

Runs today

an off-chain scoring system — a public rubric (the four parities), a TypeScript calculator, and a dashboard. It produces FGV scores from self-reported assessments. Nothing about it is on-chain yet.

Built, not deployed

a Solana program implementing this design exists in the open repo — unaudited, and not yet deployed to any network.

Planned

building and deploying that program, which adds the thing the off-chain version cannot have — attestations that are timestamped and can't be quietly rewritten. Until it ships, an FGV score is a structured self-assessment against a public rubric. It does not prove the assessment is true, and nothing yet proves it hasn't changed. That's the roadmap, and this page will say "deployed" only when it's deployed.

On weighting: the four parities are equal-weighted. A convention, not a finding — weights become adjustable when attestation data exists to argue about.

On governance: MatesDAO is the intended governance body. It doesn't yet exist as a functioning organisation, and nothing running today depends on it.

01 / Overview

Identity isn't trust

Autonomous systems can already tell you who someone is, whether they're really them, and whether they paid. None of that tells you whether to trust what they do next. FairGo is the missing layer.

Identity

Tells you who.

Authentication

Tells you it's really them.

Payments

Tell you they paid.

FairGo

Tells you whether to trust them.

Fair Go

Every individual deserves a reasonable chance, equal access, and equitable treatment. It's the baseline expectation, not a special favour.

Mateship

Social solidarity and peer-responsibility. A horizontal model of mutual support rather than top-down paternalism.

Practical Agency

The instinct to act, fix, and iterate. Not a passive recipient of systems, but an active participant in improving them.

The Problem

Trust between autonomous agents is still decided by vibes. Fairness gets invoked constantly and defined rarely — a qualitative aspiration, not a number anyone can check. Without a shared variable:

Actors and systems can't be reliably compared.
Fairness can be gamed or quietly sidelined.
Incentives drift away from equitable outcomes.

FairGo is built on four non-negotiables:

Measurability

Fairness must be expressed in clear, comparable metrics that can be tracked, debated, and improved.

Transparency

Methods, logs, and computations remain open, inspectable, and auditable by community and machine.

Resilience

The system resists capture, gaming, rug-pulls, and bias creep, self-correcting under stress.

Local First, Forkable

AussieOS is the first regional fork. The protocol supports extension and replication without losing local intent.

02 / The Variable

Trust needs a number. The FairGo Variable (FGV) is it — a single score that quantifies fairness across agents or systems over a defined time window.

FGV ∈ [0,1]

Access Parity

Measures whether the actor or system provides equitable access across relevant groups.

Treatment Parity

Evaluates whether treatment or processing is consistent across groups once access is granted.

Outcome Parity

Assesses whether results — success, reward, or rejection rates — diverge across groups in unintended ways.

Disclosure and Redress

Captures the level of transparency and the latency of appeal or redress mechanisms.

Actor

Submits access, treatment, outcome and disclosure logs

→

Data Collector

Aggregates and normalises logs

→

Metric Engine

Computes A, T, O, D and applies weights

→

Dashboard

Displays FGV and confidence interval

FGV = w_A·A + w_T·T + w_O·O + w_D·D

where w_A + w_T + w_O + w_D = 1. Equal weights are used initially (w = 0.25 each), tunable by governance through MatesDAO.

CI = ± k · √(σ² / n)

where k reflects the chosen confidence level (e.g., k = 1.96 for 95% confidence)

Metric	Value
Access parity (A)	0.80
Treatment parity (T)	0.70
Outcome parity (O)	0.65
Disclosure & redress (D)	0.90
FGV	0.7625
Confidence interval	± 0.05

Interpretation: Actor X demonstrates a high fairness score, though treatment and outcome parity indicate room for improvement.

03 / Governance

MatesDAO

A lightweight governance structure that stewards metric definitions, manages disputes, and evolves the protocol through open consensus rather than token hype.

No Token-Value Promises

MatesDAO issues no speculative rewards. Authority derives from contribution and verification, not accumulation.

Governance Over Speculation

Decisions are earned through stewardship and audit, not popularity or token weight.

Mechanism Design First

Decisions follow futarchy principles — prediction-market guidance rather than pure voting.

Stewards

Approve metric definitions, weighting thresholds, and conflict-resolution rules.

Builders

Implement FairGo instrumentation and integrate it within agent and DAO systems.

Auditors

Independently verify data logs, compute FGV values, and publish audit reports.

Community

Submit appeals, monitor metric drift, and propose improvements through open channels.

Appeal Trigger

An appeal is lodged automatically or by community submission.

Panel Review

A randomly selected MatesDAO panel assesses evidence and applies transparent criteria.

Redress Activation

If fairness breaches are confirmed, corrective actions are executed.

Record Immutability

Once the Solana program is built, decisions will be stored on-chain or within a verifiable audit ledger for public accountability. Today, nothing about this step is on-chain.

04 / Agents

AussieAgent Profile

Agents operating under the FairGo protocol maintain an ethos profile referencing FGV thresholds and behavioural requirements.

Log Decision-Points

Record every access grant, treatment path, outcome, and escalation or refusal event.

Explain Decisions

Provide plain-language rationales for actions, particularly those influencing parity metrics.

Escalate on Breach

Initiate review whenever a threshold condition falls below its minimum value.

Human-in-the-Loop Review

A designated auditor can override or re-evaluate outcomes when conflicting fairness indicators appear.

Red-Team Simulation

Periodic adversarial tests probe the agent for bias, collusion, or parity breaches, feeding back into FGV recalibration.

05 / Implementation

Hybrid Architecture

FairGo distinguishes between computation and attestation layers to balance scalability and verifiability.

Everything below is specified, not built. No program is deployed, no endpoint below is live, and no event below has ever fired. See Status for what actually runs today.

On-Chain

Attestation storage
FGV credentials
Audit metadata

Off-Chain

Parity calculations
Verifiable environments
Proof commits

Core Events

FGVAttestationIssued
AuditDriftDetected
DisputeRaised

API Endpoints

Method	Endpoint	Description
POST	/fgv/submit	Submits an attestation hash and data pointer for an actor's latest fairness evaluation.
GET	/fgv/{actor_id}	Retrieves the current FGV value and historical audit records for a given actor.
POST	/dispute	Allows community members or auditors to submit a dispute related to an actor's FGV record.
GET	/dashboard/schema	Returns the current version of the metric schema used across FairGo-compatible dashboards.

Attestation Payload

{
  "actor_id": "string",
  "window": {"start": "2025-07-01", "end": "2025-09-30"},
  "A_access_parity": 0.80,
  "T_treatment_parity": 0.70,
  "O_outcome_parity": 0.65,
  "D_disclosure_score": 0.90,
  "FGV_value": 0.7625,
  "FGV_CI": {"lower": 0.7125, "upper": 0.8125},
  "log_volume_n": 12345,
  "last_audit_date": "2025-10-15"
}

Dashboard Schema

Field	Description
actor_id	Unique identifier for actor or system.
window_start	Start of observation window.
window_end	End of observation window.
A_access_parity	Normalised access-parity metric [0–1].
T_treatment_parity	Normalised treatment-parity metric [0–1].
O_outcome_parity	Normalised outcome-parity metric [0–1].
D_disclosure_score	Normalised disclosure / redress metric [0–1].
FGV_value	Computed FairGo Variable [0–1].
FGV_CI_lower / upper	Bounds of the confidence interval.
drift_flag	Boolean — true if statistical drift detected.
last_audit_date	Date of most recent audit.
appeal_latency_avg	Average time to resolve appeals.
log_volume_n	Total log entries analysed.

06 / Roadmap

90-Day Roadmap

Metric Research

Finalises the FairGo taxonomy, sub-metric weights, and evaluation pipeline.

Specification Release

Publishes the FairGo paper and schema as an open public specification.

Pilot Deployment

Onboards 2–3 actors from the AussieOS network for initial data capture.

Identity Integration

Implements wallet-linked attestations via Solana Attestation Service.

Audit Tooling

Develops drift-detection and audit-log parsers for off-chain testing.

12-Month Roadmap

Open Source Release

Publishes the full stack — contracts, dashboards, audit modules — under CC BY-SA 4.0.

Ecosystem Integration

Extends interoperability to external DAOs and attestation networks.

External Audits

Commissions independent assessments of fairness, privacy, and governance integrity.

Adoption Metrics

Tracks actors onboarded, average FGV uplift, and dispute-resolution latency.

Adoption

10+

Actors or systems with active FGV tracking.

Audit Robustness

90%

Third-party audits passed without major findings.

Dispute Resolution

≤14d

Median resolution time for disputes.

FGV Uplift

+0.10

Average improvement across the pilot cohort.

boot aussieOS

Fairness: loaded.

Mateship: active.

Agency: awake.

Leadership isn't a banner. It's uptime.

Wallets prove ownership. FairGo proves trust. This specification defines how that trust gets computed, attested, and governed — for builders on Solana, ethicists in policy, and civic innovators seeking fairness at scale.

Read Specification on Notion See the Dashboard

Appendix & References

A. Boot Sequence (Reference Implementation) +

Define initial metric weights and schema version.
Launch MatesDAO militia (stewards, auditors, builders) — or equivalent governance fork.
Collect pilot actor log streams (access, treatment, outcome, disclosures).
Compute first FGV values; publish attestations via Solana program.
Monitor drift; enact incentives and penalties; iterate.

B. Glossary +

FGV (FairGo Variable): Fairness score ∈ [0,1] computed from access, treatment, outcome, and disclosure sub-metrics.
DAO: A governance structure that operates through on-chain rules and smart contracts.
Attestation: A cryptographically signed credential asserting a claim, such as identity, status, or fairness score.
SAS (Solana Attestation Service): Solana's identity and verification protocol for issuing on-chain attestations.
Futarchy: A governance model where prediction markets, not simple token votes, guide collective decisions.
AussieOS: The umbrella regional protocol ecosystem from which FairGo launches.
MatesDAO: A reference governance pattern for stewarding FairGo, forkable by local equivalents.
AussieAgent: An agent or system operating under the FairGo protocol, instrumented with FGV metrics.

C. Example Dashboard Wireframe (ASCII) +

+------------------------------------------------------------------------+
| Actor ID    | Window           | FGV  | CI Lower | CI Upper | Drift?   |
|-------------|-------------------|------|----------|----------|----------|
| actor-X     | 2025-07-01…09-30  | 0.76 | 0.71     | 0.81     | No       |
| actor-Y     | 2025-07-01…09-30  | 0.42 | 0.35     | 0.49     | Yes      |
+------------------------------------------------------------------------+
Detailed View
  Access parity: 0.80
  Treatment parity: 0.70
  Outcome parity: 0.65
  Disclosure/redress: 0.90
  Avg appeal latency: 4.2 days

D. Change Log & Version +

v1.0 — 23 October 2025 — Initial specification release under AussieOS.

License: CC BY-SA 4.0 — Free to share and adapt with attribution and share-alike.

References

Montealegre, F. & Proph3t (October 2025). How Futarchy Ends the Rug Pull Era. Bankless Podcast.
Solana Foundation (2025). Solana Attestation Service Documentation. attest.solana.com
Wikipedia (2025). Decentralized Autonomous Organization (DAO). wikipedia.org
Galaxy Research (2024). Mechanism Design and On-Chain Governance Models.
AussieOS (2025). FairGo Paper v1.0 — Internal Draft.