The Best Curated L402 + x402 API Directory

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Machine-readable API specification in OpenAPI 3.0.3 format.

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

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.

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 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.

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.

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.

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.

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.

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.

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.

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.

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

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.

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.

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.

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

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