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SatRank

by proofoftrust21
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TypeScript

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.

Related MCP server: Maximum Sats MCP

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

This server cannot be deployed

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

Maintenance

ActivityInactive
ResponsivenessNo issues

Resources

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