ScoutWyze Compute

Autonomous, machine-readable GPU placement recommendation and routing decision engine for AI infrastructure agents and MLOps pipelines. See CLAUDE.md for the full V1 source of truth — architecture, scope boundaries, and the data-provenance model this whole engine is built around.

What this is not: an execution platform. Every compute/rank response carries limits: {not_reserved: true, not_provisioned: true, can_provision: false} — this ranks and recommends where to rent GPU compute, it never reserves, provisions, or runs anything itself. See SOT.md for the rigorously-verified current state of every claim in this document.

For AI agents & autonomous integration

Live: https://scoutwyze-compute.fly.dev — dual-rail, pay per successful ranked match, no subscription.

bash

# Free, anonymous, rate-limited — see the real response shape before paying
curl https://scoutwyze-compute.fly.dev/v1/compute/sample

# Rail 1 — prepaid Bearer key (one-time human funding, then headless)
curl -X POST https://scoutwyze-compute.fly.dev/v1/compute/rank \
  -H "Authorization: Bearer sw_live_..." -H "Content-Type: application/json" \
  -d '{"gpuClass":"H100","preference":"cheapest"}'

# Rail 2 — x402/USDC on Base, zero signup, zero API key, zero gas
curl -X POST https://scoutwyze-compute.fly.dev/v1/compute/rank \
  -d '{"gpuClass":"H100"}'
# -> HTTP 402 with real payment requirements (EIP-3009 "exact" EVM scheme).
#    Sign an authorization (no on-chain broadcast needed from you — this
#    server's facilitator handles that), resubmit with X-PAYMENT, get a 200.
#    See examples/node-client.mjs or examples/python_client.py for the
#    real signing flow — not curl-able directly, needs an EIP-712 signature.

GET /llms.txt and GET /openapi.json — full machine-readable API description, both rails, the x402 error-code vocabulary, everything below.
examples/ — copy-pasteable Node.js and Python clients (both rails, including a real x402 sign-and-pay flow), plus LangChain and Haystack Tool wrappers.
scoutwyze-compute on PyPI — same client/LangChain/Haystack code as examples/, packaged: pip install "scoutwyze-compute[all]".
@scoutwyze/compute-mcp on npm — MCP server for Claude Desktop/Cursor: npx -y @scoutwyze/compute-mcp. Also listed in the official MCP Registry (io.github.scoutwyze-max/compute-mcp) and Smithery (scoutwyze/compute-mcp).

V1 scope

One SKU: 8× H100 80GB, InfiniBand/RDMA, US regions only.
Three provider feeds — Lambda Labs, RunPod, CoreWeave — normalized by per-provider adapters (src/providers/). V1 wires each to a local fixture by default; raw-entry sourcing sits behind a RawEntrySource seam (src/providers/rawSource.ts) specifically so swapping a provider to a real polled/webhook-fed feed later is a one-line change at that adapter's own export, not a rewrite.
Every quote strictly separates what a provider stated (provider_observed) from what ScoutWyze calculated (scoutwyze_estimated) from freshness/confidence metadata (metadata) — never blended into one opaque number.
Fail-closed: a broken/unparseable provider feed contributes nothing and is reported in excluded_providers, never silently faked or served stale-as-current.
Dual-rail auth, both real: Authorization: Bearer <api_key> backed by a real hashed-key store + prepaid credit ledger, or x402/USDC-on-Base (X-PAYMENT header) — real x402 "exact" EVM scheme (EIP-3009 TransferWithAuthorization, EIP-712 signature recovery, domain independently verified against the real USDC contract on Base), settled through PayAI's facilitator and independently re-confirmed on-chain by this server, not trusted on the facilitator's claim alone.
Real payment intake: a Stripe webhook (signature-verified, idempotent) tops up the credit ledger on a completed Checkout Session; self-serve POST /v1/signup + POST /v1/checkout-sessions let a new user/agent get a key and fund it without any admin involvement.

Getting started

Terminal

npm install
cp .env.example .env      # fill in real secrets — see comments in the file
npm run dev                # starts the API on :8787 (see .env for PORT)
npm test                   # full unit + integration suite
npm run typecheck

Try it (local)

bash

# 1. Get a real API key (free — funding it is a separate step)
curl -X POST http://localhost:8787/v1/signup

# 2. Use it — a brand-new key has a $0 balance, so this correctly
#    returns 402 insufficient_credits rather than a ranked result. Fund
#    the account (via /v1/checkout-sessions + a real Stripe payment, or
#    POST /v1/admin/accounts/:accountId/credits with X-Admin-Secret for
#    local testing) to see a real 200.
curl -X POST http://localhost:8787/v1/compute/rank \
  -H "Authorization: Bearer <apiKey from step 1>" \
  -H "Content-Type: application/json" \
  -d '{"gpuClass": "H100", "preference": "cheapest"}'

Against the live production deployment instead, see "For AI agents & autonomous integration" above, or examples/ for full client code in Node.js and Python (both rails).

Project layout

Code

src/
  types/schema.ts          Zod schemas — the provenance-separated response contract
  providers/                One adapter per feed, normalizing raw provider shape -> ProviderObservedFacts
    rawSource.ts             Fixture/Http/Webhook raw-entry sourcing, swappable per adapter
    fixtures/                Mock provider data, structured to match each provider's real field conventions
  ingestion/                 Background cache — the only thing the API route ever reads from
  engine/                    SKU/region filtering, cost calculation, risk scoring, ranking
  billing/                   Hashed API keys + prepaid credit ledger (SQLite)
  payments/                  Stripe webhook verification, Stripe Checkout Session creation, real Base/x402
                              on-chain settlement verification, cross-rail payment-event idempotency
  api/                       Fastify routes (quote, signup/checkout, Stripe webhook, admin) + dual-rail auth middleware
  db/                        SQLite connection + schema (durable: keys, ledger, processed payment events)
scripts/
  smoke-test.mjs             Post-deployment smoke test — hits a real running instance over HTTP
tests/
  unit/                      Pure-function coverage: cost math, risk scoring, filtering, provenance separation, payments
  integration/                Full HTTP flow via Fastify inject(): auth, fail-closed behavior, signup/checkout, webhooks
examples/                    Copy-pasteable Node.js/Python clients (dual-rail) + LangChain/Haystack Tool wrappers — see examples/README.md
mcp-server/                  Separate, independently-published MCP server package (@scoutwyze/compute-mcp) wrapping this API for MCP-native hosts — see mcp-server/README.md
python-sdk/                  Separate, independently-published Python package (scoutwyze-compute on PyPI) — the same client/LangChain/Haystack code as examples/, packaged and pip-installable

Deployment

Dockerfile + fly.toml — see fly.toml's own header comment before deploying, especially the single-instance-by-design constraint: durable state is one local SQLite file on an attached volume, so this app must not be scaled to more than one machine without first re-architecting storage.

Terminal

fly apps create scoutwyze-compute
fly volumes create scoutwyze_compute_data --region iad --size 1
fly secrets set STRIPE_SECRET_KEY=... STRIPE_WEBHOOK_SECRET=... ADMIN_SECRET=... \
  X402_RECEIPT_SIGNING_SECRET=... CHECKOUT_SUCCESS_URL=... CHECKOUT_CANCEL_URL=...
fly deploy
npm run smoke -- https://scoutwyze-compute.fly.dev   # post-deploy verification

What's deliberately not built yet

RunPod is live in production (RunpodLiveCatalogSource, RUNPOD_API_KEY configured) — Lambda Labs and CoreWeave remain fixture-only, comparison data, never bookable, never live. Flipping either to live needs that provider's real API key wired the same way RunPod's already is.
Horizontal scaling / multi-instance deployment (see the single-writer SQLite constraint above) — would need a real shared database or something like LiteFS first.
Multi-instance-aware rate limiting — /v1/signup and /v1/checkout-sessions are now per-IP rate limited (2026-09-26, src/api/routes/signup.ts), but via the same in-memory FixedWindowRateLimiter as /v1/compute/sample — correct for the current single-instance deployment, would need a shared store (Redis/DB) the moment there's more than one machine.