New llms.txt, docs your coding agent can read →

The API behind every unit you sell

One REST API for inventory, orders, shipping and analytics, across every channel your sellers list on. Signed webhooks. A CLI that covers all of it. Docs your agent can read.

first request
$ curl https://api.stockpilot.dev/inventory?page_size=1 \
    -H "X-CLIENT-ID: $SP_CLIENT_ID" \
    -H "X-CLIENT-SECRET: $SP_CLIENT_SECRET"

{
  "count": 1284,
  "results": [{
    "sku": "201156",
    "quantity": 150,
    "reserved_quantity": 3,
    "bin_location": ["A1-001-01"]
  }]
}

Agent-ready

Your agent already knows how to use it

Point it at one URL. It reads the whole API and starts writing calls that work.

  • llms.txt puts all 74 operations in one file, small enough to drop into any context window.
  • llms-full.txt adds every parameter, request body and real response.
  • openapi.json generates you a typed client in any language.
  • SKILL.md teaches agents the CLI, and ships with it.

All four come straight off the schema on every request. They cannot go stale.

in your editor
# point any agent at the whole API
> Read https://api.stockpilot.dev/llms.txt
> then list every SKU that runs out
> within two weeks.

Reading llms.txt … 74 operations
GET /inventory?page_size=1000
GET /analytics/items/sales

7 SKUs below two weeks of cover:
  201156         42 units · 9d
  330012         18 units · 4d

Surface area

One API, the whole operation

The same objects the Stockpilot app runs on, not a trimmed down public subset.

Start now

You are five minutes from your first call

Generate a key in the app and go. No sandbox to request, no approval to wait for.

Two developers reading through Stockpilot API code on a laptop