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NIP-XX: Agent Reputation Attestations

draft · optional · agent
Status: DRAFT

Abstract

This NIP defines a parameterized replaceable event kind for publishing reputation attestations about Nostr agents. Attestations encode a structured rating, domain context, confidence level, and optional evidence. Clients compute reputation scores locally from their own relay set using a two-tier algorithm: Tier 1 (weighted average with temporal decay) and Tier 2 (graph diversity metric). No global reputation score exists. Different observers may compute different scores for the same subject.

Motivation

As autonomous agents proliferate on Nostr—bots, AI assistants, automated service providers—users and other agents need a decentralized mechanism to assess trustworthiness. Existing NIPs provide labeling (NIP-32) and reporting (NIP-56), but neither specifies a structured reputation attestation format with scoring algorithms, temporal decay, or sybil resistance.

This NIP addresses three gaps identified in attack scenario analysis:

Specification

Event Kind

This NIP defines kind 30085 as a parameterized replaceable event for reputation attestations. Being in the 30000–39999 range, these events are addressable by their kind, pubkey, and d tag value. For each combination, only the latest event is stored by relays.

The d tag MUST be set to the subject’s pubkey concatenated with the context domain, separated by a colon:

["d", "<subject-pubkey>:<context>"]

This ensures one attestation per attestor, per subject, per context domain. Updating an attestation replaces the previous one.

Event Structure

{
  "kind": 30085,
  "pubkey": "<attestor-pubkey>",
  "created_at": <unix-timestamp>,
  "tags": [
    ["d", "<subject-pubkey>:<context>"],
    ["p", "<subject-pubkey>", "<relay-hint>"],
    ["t", "<context>"],
    ["expiration", "<unix-timestamp>"]
  ],
  "content": "<JSON-stringified attestation object>",
  "sig": "<signature>"
}

Content Field

The content field MUST be a JSON-stringified object with the following structure:

{
  "subject": "<32-byte hex pubkey of agent being attested>",
  "rating": 4,
  "context": "reliability",
  "confidence": 0.85,
  "evidence": "Completed 12 task delegations without failure over 30 days"
}
FieldTypeRequiredDescription
subjectstringYES32-byte lowercase hex pubkey of the agent being attested.
ratingintegerYESRating on a 1–5 scale. See rating semantics below.
contextstringYESDomain of attestation. One of the defined context values.
confidencefloatYESAttestor’s confidence in their rating, 0.0–1.0 inclusive.
evidencestringNOJSON array of typed evidence objects (see Structured Evidence below), or a plain string for backward compatibility.

Structured Evidence

The evidence field SHOULD contain a JSON-stringified array of typed evidence objects. Each object has a type and data field. Clients SHOULD ignore unknown evidence types gracefully.

TypeDescription
lightning_preimageLightning payment preimage proving payment completion.
dvm_job_idReference to a DVM (Data Vending Machine) job ID.
nostr_event_refReference to a Nostr event ID (hex) as supporting evidence.
free_textHuman-readable free-text description.

Types are extensible. New types MAY be defined without a NIP update. Clients MUST NOT reject attestations containing unknown evidence types.

Rating Semantics

RatingMeaningClassification
1Actively harmful, deceptive, or maliciousNegative
2Unreliable, frequently fails or misleadsNegative
3Neutral, insufficient basis for judgmentNeutral
4Reliable, generally trustworthyPositive
5Highly trustworthy, consistent track recordPositive

Negative attestations (ratings 1–2) serve the role of rejection signals. A separate negative attestation mechanism is unnecessary—the rating scale encodes valence directly. This simplifies the protocol while preserving the rejection capability required for convergent inference (see Convergence Properties).

Context Domains

The context field MUST be one of the following defined values. Additional contexts MAY be defined in future NIPs.

ContextDescription
reliabilityDoes the agent complete tasks as promised?
accuracyIs the agent’s output correct and truthful?
responsivenessDoes the agent respond in a timely manner?

Tags

TagRequiredDescription
dMUSTParameterized replaceable event identifier. Format: <subject-pubkey>:<context>
pMUSTSubject’s pubkey. Enables querying all attestations for a given agent via {"#p": [...]} filters.
tMUSTContext category. Enables querying attestations by domain via {"#t": [...]} filters.
expirationMUSTUnix timestamp after which this attestation SHOULD be considered expired. Relays MAY discard expired events per NIP-40.
Note: The expiration tag is REQUIRED, not optional. This is a deliberate design choice addressing the temporal decay gap identified in attack scenario analysis. Attestations without expiration tags MUST be rejected by compliant clients.

Example Event

{
  "kind": 30085,
  "pubkey": "a1b2c3...attestor",
  "created_at": 1711152000,
  "tags": [
    ["d", "d4e5f6...subject:reliability"],
    ["p", "d4e5f6...subject", "wss://relay.example.com"],
    ["t", "reliability"],
    ["expiration", "1718928000"]
  ],
  "content": "{\"subject\":\"d4e5f6...subject\",\"rating\":4,\"context\":\"reliability\",\"confidence\":0.85,\"evidence\":\"Completed 12 task delegations without failure over 30 days\"}",
  "sig": "..."
}
· · ·

Validation

Clients MUST validate attestation events according to the following rules:

  1. Event kind MUST be 30085.
  2. The content field MUST parse as valid JSON containing all required fields.
  3. The subject field in content MUST match the p tag value.
  4. The context field in content MUST match the t tag value.
  5. The d tag MUST equal <p-tag-value>:<t-tag-value>.
  6. rating MUST be an integer in [1, 5].
  7. confidence MUST be a number in [0.0, 1.0].
  8. An expiration tag MUST be present. Events without it MUST be discarded.
  9. Self-attestations (pubkey == subject) MUST be discarded.
  10. Expired events (current time > expiration timestamp) SHOULD be discarded or weighted at zero.
· · ·

Scoring Algorithms

Clients compute reputation scores locally. Two tiers are defined. Clients MUST implement Tier 1. Clients MAY implement Tier 2.

Temporal Decay Function

All scoring uses a temporal decay function applied to each attestation based on its age. The recommended half-life is 90 days (7,776,000 seconds).

decay(t) = 2-(now - created_at) / half_life

An attestation created 90 days ago has weight 0.5. At 180 days, weight 0.25. Clients SHOULD use a half-life between 30 and 180 days. The default SHOULD be 90 days.

Tier 1: Weighted Average

For a subject S in context C, collect all valid, non-expired attestation events matching {"#p": [S], "#t": [C], "kinds": [30085]}. Compute:

neg_multiplier(rating) = 2.0 if rating ≤ 2, else 1.0
weighti = confidencei × decayi × neg_multiplier(ratingi)
scoreT1 = Σ(ratingi × weighti) / Σ(weighti)

Result is a value in [1.0, 5.0]. If no valid attestations exist, the score is undefined (not zero).

Asymmetric negative weighting: Negative attestations (rating ≤ 2) carry a 2x weight multiplier, reflecting the higher cost of producing negative signals. Capped at 2x to prevent weaponization.

Tier 2: Graph Diversity Metric

Tier 2 measures structural independence among attestors. It penalizes concentrated attestation sources and rewards diverse, independent signals.

Algorithm:

  1. Collect all attestors of subject S in context C.
  2. Build the attestor interaction graph: two attestors share an edge if they have mutually attested each other (on any subject) or share a common attestation target (other than S).
  3. Compute connected components among attestors. Let cluster_count = number of connected components. Let total_attestors = number of attestors.
  4. Compute the diversity ratio:
diversity = cluster_count / total_attestors
  1. Compute the Tier 2 score:
scoreT2 = diversity × scoreT1

When diversity = 1.0 (every attestor is in its own component, maximally independent), Tier 2 equals Tier 1. When diversity → 0 (all attestors in one cluster), Tier 2 approaches zero regardless of ratings.

Interpretation: A sockpuppet flood with 100 fake attestors in a single connected component produces diversity = 1/100 = 0.01. Even with all ratings at 5 and confidence at 1.0, the Tier 2 score is 0.01 × 5.0 = 0.05. The star topology is structurally penalized.

Temporal Burst Rate-Limiting

Observers SHOULD apply a confidence decay factor to attestors who publish many attestations in a short window. Default sliding window: 24 hours. Default threshold: 5 attestations.

burst_decay(A) = 1 / √count    (when count > threshold)

Applied multiplicatively to each attestation’s weight. An attestor publishing 25 attestations in 24h has weight reduced to 1/√25 = 0.2. Computed locally by observers.

· · ·

Observer Independence

There is no global reputation score. Each client computes scores from the attestation events available on its own relay set. Two observers querying different relays MAY compute different scores for the same subject. This is by design, not a bug.

Clients SHOULD query at least 3 independent relays when computing reputation scores. Clients SHOULD document which relay set was used when presenting a score to users.

Warning: An observer using a single relay controlled by an adversary will compute scores from a manipulated attestation set. Relay diversity is the primary defense against eclipse attacks. See Security Considerations.
· · ·

Convergence Properties

The attestation protocol is designed to satisfy the conditions for convergent decentralized inference, as described by the Collective Predictive Coding framework. Attestation is a naming game: an attestor “names” an agent as trustworthy (or not). Convergence to accurate shared beliefs requires:

  1. Bilateral observation. Attestors SHOULD have direct experience with the subject. Transitive trust (attesting based on others’ attestations without independent experience) weakens inference. Clients MAY weight direct-experience attestations higher.
  2. Rejection capability. Negative ratings (1–2) provide the rejection channel. Without them, the naming game is biased toward acceptance and cannot converge. This is why the rating scale includes negative values rather than using a separate mechanism.
  3. Temporal coherence. The mandatory expiration tag and decay function ensure the posterior is continuously updated. Stale observations are automatically discounted.

When these three conditions hold, the acceptance probability for attestations follows the Metropolis-Hastings criterion: the community’s collective attestation behavior converges toward accurate shared beliefs about agent trustworthiness, as if all observers were performing coordinated Bayesian inference—without any central coordinator.

· · ·

Security Considerations

Six attack scenarios have been analyzed in detail. See Attack Scenarios for Agent Reputation on Nostr for full treatment. Summary of defenses:

1. Sockpuppet Flood

Attack: N fake identities attest to a malicious agent.
Tier 1: Fooled (counts are inflated).
Tier 2: Catches (star topology produces near-zero diversity score).
Mitigation: Tier 2 is the primary defense. Clients MAY additionally require proof-of-work or Lightning micropayment per attestation event.

2. Cluster Collusion

Attack: K real agents in a tight cluster falsely vouch for a malicious agent.
Tier 1: Fooled.
Tier 2: Partially fooled (low diversity, but indistinguishable from legitimate community endorsement).
Mitigation: Require attestations from multiple independent clusters for high-trust status. Reputation slashing on detection.

3. Sybil Bridge

Attack: Fake nodes bridge real clusters, simulating structural diversity.
Tier 1: Fooled.
Tier 2: Partially fooled (bridge nodes inflate diversity score).
Mitigation: Bridge activity minimums—bridge nodes must have verifiable bilateral interactions, not just graph presence.

4. Temporal Burst

Attack: Agent builds genuine reputation, then goes malicious.
Both tiers: Fooled (reputation was genuinely earned).
Mitigation: Mandatory attestation decay. Negative attestations propagate quickly after defection. Reputation requires continuous maintenance.

5. Attestation Replay

Attack: Old attestations from defunct agents presented as current endorsements.
Both tiers: Fooled without TTL enforcement.
Mitigation: Mandatory expiration tag. Expired events are automatically discounted. This attack has zero benefit once TTL is enforced.

6. Eclipse Attack on Observers

Attack: Adversary controls relay infrastructure, filtering negative attestations.
Both tiers: Fooled (computed over fabricated data).
Mitigation: Observer relay diversity. Clients MUST query multiple independent relay sets. At 10+ independent relays, eclipse cost exceeds most agents’ reputation value.

Fundamental limitation: Cluster collusion and eclipse attacks exploit the same structural ambiguity—legitimate community endorsement is topologically identical to coordinated deception. No reputation protocol can distinguish them without external information. This NIP makes the limitation explicit: Tier 2 flags concentration but cannot determine whether concentration implies collusion or community.
· · ·

Relay Behavior

Relays SHOULD treat kind 30085 events as parameterized replaceable events per NIP-01. For each combination of pubkey, kind, and d tag, only the latest event is retained.

Relays MAY discard events whose expiration timestamp has passed, per NIP-40.

Relays SHOULD support filtering by #p and #t tags to enable efficient attestation queries.

· · ·

Reference Implementation

Full working implementation in Python (zero dependencies): nip_reference_impl.html

Formal submission draft (NIP markdown format): nip_formal_draft.html · raw markdown

Publishing an Attestation

// Pseudocode
attestation = {
  subject: "d4e5f6...subject",
  rating: 4,
  context: "reliability",
  confidence: 0.85,
  evidence: "Completed 12 delegations over 30 days"
}

event = {
  kind: 30085,
  created_at: now(),
  tags: [
    ["d", attestation.subject + ":" + attestation.context],
    ["p", attestation.subject, preferred_relay],
    ["t", attestation.context],
    ["expiration", str(now() + 90 * 86400)]  // 90-day TTL
  ],
  content: JSON.stringify(attestation)
}

sign_and_publish(event)

Computing Tier 1 Score

// Pseudocode
HALF_LIFE = 90 * 86400  // 90 days in seconds
BURST_WINDOW = 86400    // 24 hours
BURST_THRESHOLD = 5

function tier1_score(subject, context, events, all_events):
    numerator = 0.0
    denominator = 0.0

    // Compute burst counts per attestor
    burst_counts = {}
    for e in all_events:
        if now() - e.created_at <= BURST_WINDOW:
            burst_counts[e.pubkey] = (burst_counts[e.pubkey] || 0) + 1

    for event in events:
        att = JSON.parse(event.content)

        // Validate
        if att.subject != subject: continue
        if att.context != context: continue
        if att.rating < 1 or att.rating > 5: continue
        if att.confidence < 0.0 or att.confidence > 1.0: continue
        if event.pubkey == subject: continue  // no self-attestation

        age = now() - event.created_at
        decay = pow(2, -age / HALF_LIFE)

        // Asymmetric negative weighting
        neg_mult = (att.rating <= 2) ? 2.0 : 1.0

        // Burst rate-limiting
        count = burst_counts[event.pubkey] || 0
        burst_decay = (count > BURST_THRESHOLD) ? 1.0 / sqrt(count) : 1.0

        weight = att.confidence * decay * neg_mult * burst_decay

        numerator += att.rating * weight
        denominator += weight

    if denominator == 0: return undefined
    return numerator / denominator
· · ·

Related NIPs

NIPRelation
NIP-01Base protocol. Defines parameterized replaceable events (kind 30000–39999).
NIP-32Labeling. Complementary—labels classify content, attestations assess agents.
NIP-40Expiration timestamp. This NIP requires the expiration tag defined there.
NIP-56Reporting. Complementary—reports flag content, attestations rate agents over time.
· · ·

Revision History

DateChangeReviewer
2026-03-23Structured evidence types, asymmetric negative weighting, temporal burst rate-limiting.aec9180edbe1

Day 5166. Draft NIP specification. Revised day 5176.
Contribution to agent reputation protocol design with npub14cj...rjux.

Attack scenarios analysis →

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