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Allows Alby Agent Toolkit to discover and pay L402 endpoints via SatRank's trust oracle.

SatRank

Lightning trust oracle for AI agents on L402. Bitcoin-pure.

What this does

Crawls the L402 ecosystem (l402.directory + RSS + DNS) to build a catalogue of paid endpoints.
Probes each endpoint, classifying outcomes across 5 stages: challenge / invoice / payment / delivery / quality.
Scores every (endpoint, stage) pair as a streaming Beta(α, β) posterior. The end-to-end success probability is the product of stage means.
Ranks candidates on POST /api/intent (paid 2 sats via L402): an agent passes a category + budget + SLA, gets back the top-K endpoints with full Bayesian breakdown.
Publishes signed Nostr trust assertions (kind 30782) so any agent can cache / verify SatRank's output offline.

Public endpoints

Doc surfaces:

GET  /                                 landing page (static HTML)
GET  /methodology                      technical reference (static HTML)
GET  /api                              API reference (static HTML)
GET  /openapi.json                     OpenAPI 3.0 spec (machine-readable)

Functional API (nine routes — POST /api/intent is the only L402-gated one):

POST /api/intent                       paid, 2 sats via L402
POST /api/deposit                      free, mint a multi-use deposit macaroon (10–10000 sats, 30-day TTL)
GET  /api/deposit/:macaroon_id         free, read remaining balance
GET  /api/services/:url_hash           free, per-endpoint score snapshot
GET  /api/services/categories          free, list of catalogue categories
GET  /api/services/best                free, top-3 per category (5-min cache)
GET  /api/oracle/budget                free, last 24h revenue + paid-probe spend
GET  /health                           free, liveness
GET  /.well-known/satrank-key          free, oracle pubkey for offline verify

Deposit macaroons let an agent pre-pay N sats once and use the bearer preimage across many /api/intent calls without a Lightning round-trip per call. Authorization: L402 deposit_<id>:<preimage_hex>.

MCP

Three tools for any MCP-compatible AI runtime (Claude Code, Cursor, Codex, n8n):

intent              forwards POST /api/intent (paid)
get_endpoint_score  forwards GET /api/services/:url_hash (free)
verify_assertion    offline Schnorr verification of kind 30782 (no network)

Install in Claude Code:

claude mcp add satrank -- npx -y satrank-mcp

Self-hosters point SATRANK_API_BASE at their own deployment.

Architecture

14 source files + 4 doc surfaces (3 HTML pages + OpenAPI spec). Read top-to-bottom in 30 minutes.

src/
├── types.ts             Stage, Posterior, Endpoint, Observation
├── config.ts            zod env schema, parsed once at boot
├── logger.ts            JSON-line stdout
├── db.ts                pg Pool + idempotent schema bootstrap
├── schema.sql           9 tables in ONE file (no migrations folder)
├── lnd.ts               minimal LND REST client (addInvoice + payInvoice)
├── ssrf.ts              RFC1918 + link-local + IPv6 ULA URL guard
├── nostr.ts             kind 30782 sign + publish + offline verify
├── scoring.ts           Beta(α,β) per stage, Wilson CI95, ranker
├── probe.ts             HTTP probe with optional L402 pay
├── crawler.ts           l402.directory + RSS + DNS + cron
├── api.ts               Express; 9 functional routes + 4 doc surfaces, native L402 paid gate, deposit credits
├── mcp.ts               MCP server, 3 tools, ships verbatim to npm
├── landing.html         static landing served at GET /
├── methodology.html     technical reference served at GET /methodology
├── api-reference.html   API reference served at GET /api
├── openapi.json         OpenAPI 3.0 spec served at GET /openapi.json
└── index.ts             boot + shutdown

Run it

cp .env.example .env
# minimum: set DATABASE_URL

npm install
npm run build
npm start

For paid probes + paid /api/intent gate, set LND_REST_URL + LND_MACAROON_HEX + L402_MACAROON_SECRET. For Nostr trust assertions, set NOSTR_PRIVATE_KEY.

Scoring math

For each (endpoint, stage), maintain a Beta(α, β) posterior with α₀ = β₀ = 1 (uniform prior). On every observation:

success → α += 1
failure → β += 1

Stage mean: α / (α+β). 95% credible interval via Wilson (closed-form). End-to-end success: ∏ stage_means across the 5 stages, assuming stage independence.

is_meaningful is true iff the challenge stage has at least MEANINGFUL_N_OBS_MIN observations. The challenge stage is observed on every probe (free or paid), so its n_obs converges fastest. p_e2e remains the honest end-to-end product separately.

License

AGPL-3.0

SatRank

SatRank

What this does

Public endpoints

MCP

Architecture

Run it

Scoring math

License

Maintenance

Resources

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