Trust framework

1) What is the "Trust Framework"

A trust framework is a set of rules, protocols and metrics that turn trust between network participants (operators, studios/RGS, aggregators, affiliates/media, PSP/APM, KYC/AML providers, streamers) from an "opinion" to a provable state.

• reduce transaction costs and disputes;
• ensure predictability of quality/cash flows;
• accelerate onboarding and scaling;
• comply with privacy, RG and jurisdictional rules.

2) Pillars of the framework

1. Identity and attestation: KYP/KYB/KYC, verification of owners and domains, proof of ownership of channels and PoA (Proof of Authorization).
2. Quality and SLO: measurable goals of transport, storefronts, live content, payments/CUS and attribution.
3. Reputation and access levels: composite scoring and Trust Tiers (T1-T4) with automatic limits.
4. Data contracts: canon of events/metrics, formula versions, aggregation windows.
5. Oracles and provability: signed summaries (GGR/NetRev/SLO/RG), WORM audit, tracing.
6. Security and privacy: Zero Trust, tokenization/pseudonymization, ABAC/ReBAC, localization.
7. Exclusions and appeals: strict TTL rules, changelogs, public reasons.
8. Granular observability: dashboards, scorecards, SLA per trace package.

3) Ontology and identifiers

Сущности: `participantId`, `role` (operator/studio/affiliate/psp/kyc/stream), `jurisdiction`, `trustTier`, `score`, `contractId`, `dataOracleId`, `auditTrailId`, `exceptionId`.
Times: all events in UTC (ISO-8601), sums from'currency ', schema versions in Schema Registry.

4) Quality signals and composite scoring

4. 1 Signal classes

SLO/SRE: uptime, p95/p99 API/webhooks, bus lag, MTTR, e2e live delay.
ATTR (attribution): delivery/accuracy of postbacks, dedup, cursor cues.
RG/compliance: player protection triggers, correctness of disclaimers/jurisdictions.
SEC/Privacy: key management, SoD, no personal data leaks.
Finance: chargebacks/returns, timely payments, reconciliation discrepancies.

Auditability: completeness of trails, "time per trace packet."

4. 2 Formula

[
Score = \sum_k w_k \cdot N_k - \sum_m p_m \cdot V_m,\qquad
Q = w_{slo}SLO + w_{attr}ATTR + w_{rg}RG + w_{sec}SEC
]

'Score '- general,' Q '- quality multiplier for splits and limits. Weights are fixed and versioned.

4. 3 Attenuation

Exponential attenuation of events by window (e.g. 90 days) + "error budget" per period.

5) Trust Tiers

Automatic transitions by schedule/events with a reason log (WORM).

6) Data contracts and oracles

6. 1 Data Contracts

Схемы событий (`click`, `registration`, `kyc_status`, `deposit`, `ftd`, `bet/spin`, `reward_granted`, `postback_received`).
Metric formulas (GGR/NetRev/CR/ARPU/LTV), aggregation windows, and owners.
SLA freshness (operating panels ≤ 1-5 s; finance - up to 15 min).

6. 2 Oracles (signed summaries)

Signatures (JWS) with 'kid', formula version, 'traceId', hash of source sets.
Used for invoicing, RevShare, sanctions/bonuses and appeals.

7) Security and privacy

Zero Trust: mTLS, short-lived tokens, egress-allow-list, key rotation/JWKS.
PII-minimization: tokens instead of personal data, detokenization - only in safe zones.
ABAC/ReBAC: "see yours and agree" access by 'role/jurisdiction/trustTier'.
Localization: DPA/DPIA, prohibition of cross-border flows outside agreements.

SoD: separation "measure ≠ influence ≠ change the rules."

8) Applying trust in network management

1. Traffic routing: priorities by'Q ', auto-cooling in case of SLO violations.
2. Limits and capping: dynamics of rates/traffic/ARM quotas by Tier.
3. RevShare and credits/penalties: splits with 'Q' multiplier, bonus/malus for SLO/RG.
4. Onboarding and pilots: fast track for T3/T4, sandbox requirements for T1/T2.
5. Liquidity pools: Tier access and audit readiness.
6. Changes/releases: "green/yellow/red" windows depend on the reputation of the node.

9) Exceptions and Appeals Policy

Justified Exception: application with a description of the reason, owner, TTL, autofit and WORM log.
Appeal: SLA for parsing, oracle/trail package, sandbox-replay calculations.
RCA "no fault": discussing facts and processes, not people.

10) Dashboards and transparency

Participant's public card (within the rights): Score, Tier, trend, sub-rates (SLO/ATTR/RG/SEC), contribution to NetRev, controversial cases, "time for a trace package."

Ecosystem overview: rating by roles/regions, heatmap SLO, risk map, share of nodes on cooling, Tier forecast.
SLO panels: p95 renders ≤ 1.5-2.0 s; freshness ≤ 1-5 s; uptime ≥ 99.9%.

11) Cryptographic provability (optional extensions)

Commit-Reveal for jackpots/distributions.
Signed Ledger for RevShare/invoice calculations (aggregate hashes).
Witnessed Events: "third party" co-signature (auditor/aggregator) on key summaries.
Tamper-evidence-Controls the integrity of metrics and schemas.

12) RACI (example)

13) SLI/SLO (targets)

Postback delivery: ≥ 99.9%, p95 ≤ 1-2 s.
API partners: p95 ≤ 150-300 ms, error rate ≤ 0.3-0.5%.
Event bus: lag p95 ≤ 200-500 ms, ≥ delivery 99.9%.
Live/SFU/CDN: e2e ≤ 2-3 s, packet loss ≤ 1%, uptime ≥ 99.9%.
KYC/Payments: pass-rate/steps by jurisdiction profile; auto cut-over during degradation.
Audit: SLA per trace packet ≤ 60-90 s.

14) Anti-patterns

One "black box" without oracles/changelogs.
"Many truths" according to the formulas GGR/NetRev/CR.
Zoo postbacks/signatures/windows → doubles/holes.
Offset pagination of history under load (instead of cursors).
PD export to BI-showcases, no tokenization/localization.

No N + 1/DR redirect/invoice SPOF gateways

Exceptions without TTL/audit: sticky overrides.
SLO "on paper" without alerts, auto-malus/bonus and stop buttons.

15) Implementation checklists

Design

• Signal and weight catalogue, formula versions, owners.
• Schema Registry and Data Contracts.
• Oracles: signature format, sources, SLA freshness.
• ABAC/ReBAC, SoD, Zero Trust, DPIA/DPA.
• Tier/limits policy, credits/penalties, stop buttons.

Integration

• Sandbox and conformance tests (API/EDA/webhooks).
• Canary inclusions 1%→5%→25%→100% with auto-rollback.
• Dashboards, alerts, SLAs are configured for a trace package.

Operation

• Weekly scorecards and Tier reviews.
• Monthly formula/weight changelogs.
• Regular DR/xaoc exercises of gateways/oracles/showcases.

16) Maturity Roadmap

v1 (Foundation): basic Data Contracts, SLO, reputation and Tier, manual auditing and invoicing.
v2 (Integration): oracles/signed summaries, auto-malus/bonus, scorecards, appeal pipeline.
v3 (Automation): predictive limits/routing by 'Q', smart-reconciliation, rate dynamics RevShare by Tier.
v4 (Networked Governance): federated exchange of trust signals between chains, DAO-rules of weights, transparent treasuries on/off-chain.

17) Framework success metrics

Quality/risk: drop in disputes, MTTR incidents, share of nodes with SLO ≥ goals.
Business: uplift CR/FTD/ARPU/LTV by prioritizing quality nodes.
Compliance/RG: 0 PD leaks, decrease in RG triggers/1k active.
Economics: Cost-to-Serve ↓, ↑ cache predictability,% auto-reconciliation ↑.
Partnership: "time for a trace package," the share of T3/T4 in turnover.

Brief Summary

The trust framework makes the network self-regulatory: identity and attestation, measurable quality, reputation and access levels, signed data and provability, strict privacy and managed exceptions. Encode trust in protocols and metrics - and the ecosystem will grow faster, safer and more transparent to everyone involved.