WoT Scoring API

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Returns the trust circle (mutual follows) for a pubkey with per-member scoring, shared follow counts, mutual strength metrics, and aggregate circle analytics including cohesion, density, and role distribution. The inner circle highlights the top 10 most-trusted mutual connections.

Evaluates the quality of who a pubkey follows, scoring each follow by trust score and categorizing into tiers (strong/moderate/weak/unknown). Returns an overall quality score (0-100), breakdown metrics (avg trust, reciprocity, diversity, signal ratio), category counts, and suggestions for low-quality follows to reconsider. Useful for Nostr clients to help users curate healthier follow lists.

Full transparency into score breakdown: PageRank component, engagement metrics, top followers with their scores, and external assertion details.

Analyzes up to 50 pubkeys in a single request, returning each one's trust score, percentile rank, follower metrics, mutual connections, 2-hop reach estimate, and network role classification (hub, authority, connector, consumer, observer, participant, isolated). Results sorted by trust score descending. No simulation — uses pre-computed PageRank for fast O(1) per-pubkey lookups.

Scores multiple pubkeys for Sybil resistance in one request. Uses a simplified scoring model for performance. Results sorted by sybil_score ascending (most suspicious first). Useful for relay operators filtering event streams.

Batch spam filtering for contact lists or relay event feeds. Returns classification and probability for each pubkey plus summary counts.

Compares the trust circles (mutual follows) of two pubkeys. Returns overlapping members (in both circles), unique members (in only one), and a compatibility score (0-100) based on circle overlap ratio, shared follow ratio, and average WoT score of overlapping members. Useful for Nostr clients to show 'how compatible are these two users?' or 'who do we both trust?'

Returns trust scores for a pubkey from our engine and all known external NIP-85 providers. Includes consensus metrics (mean, median, standard deviation, agreement level). Demonstrates NIP-85 interoperability — different providers independently scoring the same pubkey.

Computes graph-theoretic health metrics: degree distribution, connectivity, reciprocity, Gini coefficient of score centralization, power-law exponent, and top hubs. Returns an overall health score (0-100) and classification.

Computes a composite reputation score (0-100, grade A-F) by combining five dimensions: WoT standing (PageRank percentile), Sybil resistance (follower quality and mutual trust), community integration (cluster membership and quality), anomaly cleanliness (absence of trust manipulation flags), and network diversity (follower spread across graph regions). Returns a detailed breakdown with per-component scores, grades, and a human-readable summary.

Returns a force-directed graph (nodes + links) centered on a pubkey. Nodes colored by relationship type (follow, follower, mutual) and sized by WoT score.

Returns engagement metrics (comments, reposts, reactions, zaps) and a normalized rank for a specific event ID.

Full export of all pubkeys with their raw PageRank scores and normalized ranks. Useful for research and analysis.

Lists external NIP-85 providers whose kind 30382 assertions are consumed for composite scoring.

Jaccard similarity (70%) + WoT score (30%) to discover pubkeys with overlapping follow sets.

BFS shortest path through the follow graph (up to 6 hops). Each node annotated with WoT score. Also supports single pubkey info mode.

Recommends pubkeys that many of your follows also follow, weighted by mutual follow ratio (60%) and WoT score (40%).

Returns normalized PageRank trust score (0-100), composite score from external NIP-85 providers, follower count, engagement metrics, topics, active hours, and reports. Accepts hex pubkeys or NIP-19 npub format.

Returns service status (starting/ready), graph size, event counts, external provider stats, authorization counts, and uptime.

Returns current L402 paywall metadata including free tier and priced endpoints.

Finds and scores multiple trust paths between two pubkeys through the follow graph. Computes trust attenuation per hop (product of normalized WoT scores with mutual-follow bonus), identifies weakest links, and combines independent paths for an overall trust assessment. Useful for determining how two accounts are connected through mutual trust relationships.

Classifies a pubkey as likely_human, suspicious, or likely_spam using 6 weighted signals: WoT score (30%), follower ratio (15%), account age (15%), engagement (15%), reports (15%), activity pattern (10%).

Two modes: (1) pubkey mode returns who a pubkey has muted, (2) target mode returns who has muted a target pubkey with community moderation signal strength. Integrates NIP-51 mute lists with WoT trust scores.

Shows which users have explicitly authorized a specific NIP-85 scoring provider via kind 10040 events. Without a pubkey, shows our own authorized users.

Returns all collected metadata: follower count, post/reply counts, reactions, zaps, topics, active hours, reports sent/received, and account age.

Machine-readable API specification in OpenAPI 3.0.3 format.

Scores a target pubkey from the perspective of a specific viewer. Blends global PageRank (50%) with social proximity signals (50%): direct follow, mutual follow, and trusted follower ratio.

Uses five graph-theoretic link prediction signals (Common Neighbors, Adamic-Adar Index, Preferential Attachment, Jaccard Coefficient, WoT Score Proximity) to estimate the likelihood of a follow relationship forming. Returns a prediction score (0-1), confidence, classification, per-signal breakdown, and top mutual connections.

WebSocket endpoint for live score updates. Connect, subscribe to pubkeys, receive current scores immediately then updates after each graph recomputation (~6h). Protocol: send {type:subscribe,pubkeys:[...]} to watch up to 100 pubkeys. Without WebSocket upgrade, returns endpoint documentation as JSON.

Comprehensive reputation profile for a Nostr pubkey. Composite score (0-100, grade A+ to F) combining trust, activity, and engagement. 5 sats per request.

Resolves a NIP-05 identifier (user@domain.com) to its pubkey via .well-known/nostr.json, then returns the full WoT trust profile including score, trust level, engagement metrics, and topics.

Batch NIP-05 resolution with trust profiles. Enables clients to verify and trust-score entire contact lists or directories in a single request.

Given a pubkey, fetches their kind 0 profile from relays, extracts the NIP-05 identifier, and bidirectionally verifies it resolves back to the same pubkey.

Trust-weighted engagement scoring for NIP-73 external identifiers. Without an ID parameter, returns top 50 trending identifiers.

Batch scoring for clients that need to evaluate many pubkeys at once. Returns scores, follower counts, and composite scores.

Graph size, edge count, algorithm parameters, relay list, rate limits, and last build timestamp.

Compares two pubkeys: scores, ranks, percentiles, direct relationship, shared follows/followers with Jaccard similarity, and trust path.

Performs differential PageRank analysis: computes current scores vs. hypothetical scores after a simulated graph change. Shows which pubkeys would be most affected and by how much. Useful for understanding the cascading impact of a single follow/unfollow on the trust network.

Sybil resistance score (0-100) for a Nostr pubkey using 6 weighted signals to detect fake accounts. 3 sats per request.

Computes a Sybil resistance score (0-100) by analyzing five signals: follower quality (average WoT score of followers), mutual trust (organic bidirectional relationships), score-rank consistency (PageRank vs follower count alignment), follower diversity (neighborhood spread), and account substance (overall activity). Returns a classification (genuine, likely_genuine, suspicious, likely_sybil), confidence level, and full signal breakdown. Designed for relay operators to gate access or filter cont

Exponential decay where newer follows weigh more. Configurable half-life reveals emerging vs legacy reputation. Shows delta between static and decayed scores.

Leaderboard of the highest-ranked pubkeys in the trust graph with normalized scores and follower counts.

Analyzes a pubkey's trust graph for anomalous patterns: follow-farming (high follow-back ratio), ghost/bot followers (zero-score followers), trust concentration (single-source dependency), score-follower divergence (many followers but low PageRank), and excessive following. Returns individual anomaly flags with severity levels and an overall risk assessment.

Combines infrastructure trust data from trustedrelays.xyz (reliability, quality, uptime) with operator social reputation from PageRank. 70/30 blend of infrastructure and social scores.

Without a pubkey, returns top 20 communities. With a pubkey, returns the community that pubkey belongs to with top members.

Monthly time-series of follower growth, estimated trust scores, and follow velocity. Reconstructed from follow event timestamps.

Normalized PageRank trust score (0-100) for a Nostr pubkey, with composite score from external NIP-85 providers. 1 sat per request.

Accepts a NIP-85 kind 30382 event (JSON) and cross-checks it against our own graph data. Verifies cryptographic signature, then compares claimed rank and follower count against our observations. Returns a verdict: consistent (claims match), divergent (claims don't match), unverifiable (no verifiable claims), or invalid (bad signature/structure). Enables multi-provider trust verification.

Classify a Nostr pubkey as likely_human, suspicious, or likely_spam using multi-signal analysis. 2 sats per request.