Tokenizing member relationships

1) Why tokenize relationships

Traditionally, token = share/utility. In "network of networks" level ecosystems, value is created in connections: who interacts with whom, how sustainable the obligations are, how quickly trust accumulates, and how income is distributed. Tokenization of relationships makes these relationships measurable, portable, and programmable.

• Transparent incentives for all roles (users, validators, content/liquidity providers, operators).
• Conversion of non-monetary deposits (moderation, localization, support, network effects) into capitalized rights.
• Reduction of transaction costs of coordination (automatic rules, verified interaction history).
• Increased network resilience (anti-sybil, anti-collusion, slashing for harm).

2) Roles and relationships

Roles: member, creator, reviewer/moderator, node operator, aggregator, integrator, affiliate/partner, regulatory oracle.

• Supply ↔ demand
• Curation/verification ↔ access/visibility
• Sponsorship/Delegation ↔ Execution/Reporting
• Guarantees/Escrow ↔ Execution/Sanctions
• Reputation ↔ Limits/Privileges

Each primitive is captured by events and states in smart contracts (see § 8).

3) Types of tokens and what they "carry"

Utility-token (U): access to functions, discounts, bandwidth (rate limits/quotas).
Governance-token (G): voting, delegation, creation/branches of parameters.
Reputation-token (R, soulbound): non-interchangeable and non-transferable contribution accounting, moderation accuracy, SLA execution.
Stake-token (S): collateral against obligations, anti-spam/anti-fraud, counterparty risk insurance.
Relationship-NFT (RNFT): a unique "contract-connection" between the parties: limits, terms, price formulas, termination conditions.

4) Stimulus economics

• Value producers (content/liquidity/compute): share of GGR/commissions.
• Curation/moderation: pay-per-signal with anti-collusion stimuli (reconciliation with "ground truth," slashes).
• Network effects: referral RNFTs with vesting and delayed cliff (anti-black schemes).
• Reliability of nodes: percentage of commission for uptime/latency (S-pledges and fines).

Reward curves: logistic/bond curve for early savers; fading bonuses for mass microclades; plateau versus "pharming" noise.

5) Issue, distribution, vesting

U/G issue: starting pool + inflation under KPI (see § 11); adaptive inflation (EIP-style parameter).
Distribution: core/eco fund, build-mining (for feature/integration), curators mining, growth-mining (proven growth).
Vesting: linear/stepped; for-cause closes; clawback at the detected fraud.
Cap on voice: linear voice by G, but R as a weight-limiter (sybil-resistance through reputation).

6) Compliance and identity

DID + Verifiable Credentials: zero-knowledge proofs of KYC/AML.
Geo-politics: RNFT-access policies (region, age, deposit limits).
Privacy: a separate layer of evidence (ZK access to limits/limited functions without disclosing all actions).

7) Interchain compatibility

Bridges only to transfer rights, not reputation (R remains in the trust domain).
IBC/CCIP class interfaces: RNFT events are synchronized as "state snapshots," conflict-resolution through arbiter oracles.

8) Smart Contract Scheme (Services)

1. Registry: participants, DID, R-scores (non-interchangeable).
2. Staking & Slashing: S deposits, penalty rules, arbitration.

3. Relationships (RNFT): create/modify/terminate relationships; Attributes: Roles, Limits, KPIs, SLAs, Price, Due Date

4. Rewards Router: routing of payments by events (emit→route→claim).
5. Curation/Oracle Hub: quality signal aggregator; weight by R, penalty for bias.
6. Governance: proposals, quorums, delegation, branching of parameters.
7. Treasury & Vesting: emission, cliffs, return of undeveloped allocations.
8. Compliance Gate: geo-policies, limits, ZK passes.

9) Patterns of abuse and protection

Sibyl farms: S-pledge + R-weight requirement and resistance through curation consensus.
Collusion/cartels: correlation checks of signals, "hostile" test cases, stochastic audits with bounty.
RNFT extortion/blackmail: options for unilateral exit for a fee, execution insurance through escrow.
Pharming metrics: time smoothing, random samples, hidden control tasks.

10) UX and product streams

One Relationships window - Create RNFT from templates (Affiliate, Liquidity Delivery, Supervision)

Participant profile: deposit schedule, R-history, active pledges/limits.
Offline limits: Increase access quotas for R growth and SLA execution.
Transparent sanctions: understandable reasons for slashing, on-chain appeals.

11) Metrics and KPIs of "relationship health"

Quality of interactions: accuracy/recall of curation, proportion of disputes, time to resolution.
Reliability: uptime of nodes, average latency, proportion of SLA disorders.
Economics: retention value to contributors, LTV of the creator participant.
Stability: concentration of power (Gini by votes), share of votes with an R-modifier, entropy of an RNFT graph.
Safety: slashing frequency, escrow returns, proportion of fraud schemes prevented.

Growth: the rate of formation of new RNFTs, the conversion rate "contribution → rights."

12) Implementation process (step by step)

1. Mapping roles and value streams.
2. Defining relationship primitives (which RNFT templates are needed first).
3. Token design: U/G/S/R + matching rules, liquidity boundaries.
4. Incentive rules: remuneration formulas, KPIs, penalties, vesting.
5. Kernel contracts (§ 8) + DID/VC and compliance gate integration.
6. Launch with pilot RNFTs: affiliates, moderation, liquidity supply.
7. Observability and audit: dashboards of metrics (§ 11), periodic parameter tuning cherez治理.
8. Domain expansion: inter-chain "snapshots" of relationships, new RNFT templates.

13) Responsible Design Policies

Reputation should not be an eternal "stigma": decay functions and amnesties.
Right to exit: A member can always close the RNFT with a clear exit price.
Minimum data: privacy by default, ZK for sensitive checks.
Anti-monopoly v治理: R as a counterweight to raw capitalization G.

14) Short dictionary

RNFT (Relationship NFT): contract carrying parameters of specific relationships.
R-token: non-transferable contribution/quality counter.
S-steak: pledge against obligations; slashing source.
Curation Mining: Reward for quality signals considering R and penalties.
Compliance Gate: layer of access/limit policies and ZK proofs.

15) Launch checklist

• Defined roles and value streams
• Selected token types and token boundaries
• RNFT templates designed
• Set up incentives/penalties and KPIs
• Implemented kernel contracts and auditing
• Dashboards and alerts prepared
• Pilot performed, parameter tuning performed
• Zapushchena治理 with R modifiers

Bottom line: Tokenization of relationships takes the ecosystem out of the coin/discount logic and into the plane of programmable social and business connections, where contribution, trust and commitment are turned into managed assets with transparent rights, stimulation and responsibility.