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