Ecosystem Trust Index

1) Why you need a trust index

• serves as the basis for rights/quotas/prices (ABAC and tariffs);
• Increases prozrachnost治理 and speeds up decision-making
• reduces the costs of anti-fraud by maintaining predictable accountability.

2) Index architecture (sub-indexes)

1. QCI - Quality & Consistency: accuracy of actions/services, uptime, p95/p99, out-of-order, duplicate ratio.

2. STI - Security & Integrity: integrity incidents, signatures/overrides, slashes, oracle discrepancies.

3. CMI - Compliance & Moderation: Age/Geo/Sanctions, KYC/KYB Statuses, Moderation/Curation, and Disputes.

4. BEI - Behavioral & Economic: chargeback/disputes/1k, returns, Cost-to-Serve entity influence, revenue stability.

5. SRI - Social & Review Influence: Reviews/Reviews with Reviewer Weights (Meta-Reputation), Network Trust Signal.

[
\text{ID}=\sum_{k\in{QCI,STI,CMI,BEI,SRI}} W_k\cdot S_k,\quad \sum W_k=1
]

where (S_k=\sum_i w_{k,i} (c) ,\hat m_{k,i}) is the sub-index after normalizing metrics (\hat m) under context (c).

3) Signal sources and data acquisition

Technical quality: SLA breaks/1k, success rate, latency p95/p99, DLQ depth, replay success.
Integrites/safety: signatures/evidence, MEV exposure (if relevant), reorg/orphan, slashing.
Compliance/moderation: share of rejected events, FPR/FNR, reaction time, audit reports.
Economics/behavior: chargeback rate, disputed leads, LTV/ARPPU/NRR (by context), share of compensation.
Soc signals: reviews/assessments from subjects with high meta-reputations confirmed by badges.

All events have an ULID/trace-id, signatures, TTL, and source trust class.

4) Normalization and stability

Winsorization on [P1,P99] and EWMA for noise reduction.
Robust z-score: (\hat m = (m -\text {median} )/\text {MAD}) or robust min-max on [P5,P95] → scale ([-1; 1]).
Confidence-weights: Short-history/low-variance metrics get a smaller contribution through (\omega =\frac {n} {n +\kappa}).
Seasonality: STL decomposition, holiday/peak window control.

5) Basic aggregation formulas

[
S_k(c)=\sigma!\left(\sum_i w_{k,i}(c),\hat m_{k,i}-\lambda_k(c)\right),\quad \sigma=\text{tanh/logit}
]

Main index: see § 2.

[
\text{ID}_\text{eff} = \text{ID}\cdot \omega,\quad \omega=\frac{n}{n+\kappa} \cdot \frac{1}{1+\text{Var}(\text{ID})}
]

(used for "careful" decisions with a small amount of data).

6) Contextual weights and thresholds

• Q4 (critical operations): ↑ STI/QCI weights, ↑ trust thresholds.
• Affiliates/traffic: ↑ BEI/CMI, penalties for controversial leads/chargebacks.
• Curators/moderation: ↑ CMI/SRI, precision/recall test tasks.
• Validators/oracles: STI/QCI ↑, strict slash thresholds.

All parameters are in the Governance Registry with versions and the sunset procedure.

7) Time, decay, amnesty

Decay: (\text {ID} t =\text {ID} {t-1}, e ^ {-\delta\Delta t} +\Delta\text {ID}) - the old influence gradually decreases.
Amnesties: formalized procedures for reducing negative contributions with long-term impeccable behavior.
Evaluation windows: rolling (7/30/90 days) by role/domain.

8) Anti-gaming and anti-collusion

Sibil protection: minimum S-pledge/badge threshold for significant actions, device fingerprint (with private hashes).
Mutual review rings: graph analysis (TrustRank/PageRank), zeroing cycles, penalty for interdependent scores.
Control tasks: hidden samples of quality (golden set) by roles.

Blind-run: delay in publishing part of metrics/weights to avoid "fitting."

Attacks on registers: pale snapshots, unchanging logs, periodic external audits.

9) Privacy and compliance

DID/VC: checked role/status credits; minimum PD.
ZK-proof thresholds: "ID ≥ θ," "KYC = ok," "age ≥ 18" without disclosing details.
Selective reporting: public aggregates, private primary logs for audit.

10) Relationship with rights, limits and prices

• Rights/quotas: access to resources/routes/bridges only at (\text {ID }\ge\theta).
• Pricing: (\text {Fee} =\text {Base }\cdot f (\text {ID})), decreasing monotonously; quality subjects pay less.
• 治理 -vote weight: (g '= g\cdot f (\text {ID})) in the corridor, for example [0. 8; 1. 2].
• S-pledge: at high ID - it is permissible to reduce S in the specified corridors, at low - to increase.

11) Threshold zones and triggers

Green (trust high): (\text {ID }\ge 0. 7) → expansion of quotas, reduction of take-rate, priority listing.
Yellow: (0. 5 \le \text{ID} < 0. 7) → targeted coaching/control tasks, soft limits.
Red: (\text {ID} <0. 5) fail-closed → for sensitive actions, S growth, manual quorum/audit enabled.
Hard Predicates: Integrity Incident ⇒ Instant Stop Tap and STI Revision regardless of overall ID.

12) Dashboards and reporting

Trust Overview: total ID, contribution of sub-indices, trends, confidence intervals.
Roots & Levers: ID sensitivity to metrics, improvement levers.
Security/Integrity: incidents, slashing, oracle disagreements.
Compliance/Moderation: FPR/FNR, dispute resolution time, geo/age blocks.
Behavior & Economics: chargeback/disputes, Cost-to-Serve, margin/subject.
Geo/Role/QoS: sections and distributions, hot spots.

13) Implementation playbook

1. Role and risk mapping. Select metrics for QCI/STI/CMI/BEI/SRI, define windows.
2. ETL and data quality. ULID/trace, signatures, dedup/idempotency, integrity tests.
3. Normalization and weights. Run robust z/min-max, start (W_k, w_{k,i}), thresholds (\lambda).
4. Anti-gaming. Enter control tasks, blind-run, graph analysis review.
5. ABAC policies. Link ID to rights/quotas/prices i治理 -weight.
6. Pilot 1-2 quarters. Compare with offline quality labels/incidents, retrocalibration of scales.
7. Trigger automation. Zones/gates, alerts, stopcocks, S/fare changes.
8. Public reporting. Version passport, methodology, regular reports.
9. Cross chain. Publish bagging aggregates with evidence; local weights in the receiving domains.

14) Trust Program KPIs

Discrimination: ROC-AUC/PR-AUC separation of bona fides from violators.
Risk: reduced frequency of integrity incidents and share of disputed transactions.
Economics: ID correlation with LTV/NRR/margin, Cost-to-Serve ↓ with stable quality.
Fairness: no systematic skew across segments with equal inputs (fairness audit).
Stability: TailAmplification of the influence of ID in the corridor; low flap-rate rights/prices.
Responsiveness: policy response time to ID drop, report TTC.

15) Delivery checklist

• Sub-indexes, metrics, windows and data sources defined
• Included signatures, dedup/idempotency, integrity tests
• Robust normalizations and confidence weights implemented
• Weights/thresholds configured in Governance Registry (with sunset)
• Included anti-sybil/anti-collusion and control tasks
• Binding an ID to a AVAS/kvotam/tsenam/治理
• Dashboards, alerts, zones/triggers and stopcocks
• Pilot passed, factual and post-mortem retro-calibration
• Publishing aggregates/badges for cross-chain portability

16) Glossary

ID (Confidence Index): composite of quality/safety/behavior/compliance/social signals.
RNFT: Relationship/Rights/Limits Contract and KPIs.
R/S: reputation of quality (soulbound) and economic guarantee of responsibility.
ABAC: access by attributes (including ID thresholds).
Sunset: temporary editing of scales/thresholds with auto-rollback.

Blind-run: the hidden part of the technique/windows to protect against "fitting."

TrustRank/PageRank: graph models of meta-reputation.

17) The bottom line

The confidence index turns a "soft" reputation into a tough operational signal: measurable, resistant to cheating and upravlyayemyy治理. By linking ID with rights, limits, prices and voice - and ensuring privacy, badge portability and public reporting - the ecosystem gets mechanisms for honest growth: better actors get more opportunities and lower costs, violators get predictable restrictions and responsibility.