Try it in Postman

Import the full API into Postman in one click from the OpenAPI spec, and connect AI agents with llms.txt.

The entire SendIt API is described in a public OpenAPI 3.1 specification. Import it into Postman and every endpoint is ready to fire, with parameters, bodies, and responses included. You write no requests by hand.

https://docs.sendit.mx/openapi.yaml

Import the API into Postman

Import the spec

In Postman: Import → Link, paste https://docs.sendit.mx/openapi.yaml, and confirm. Postman generates a collection with every endpoint, organized by area: shipments, rates, labels, wallet, orders, and webhooks.

Set your variables

In the collection, open Variables and set:

Variable	Value
`baseUrl`	`https://api.sendit.mx/v1` (comes from the spec)
`apiKey`	Your `sk_test_...` test key

The collection authenticates with the X-API-Key header. Use your test key to experiment with no real money.

Fire the essential flow

With test mode active (sk_test_ key):

POST /shipments creates a shipment. The response carries rates[].
POST /shipments/{id}/label buys with a rateId. Add the Idempotency-Key header.
GET /shipments/{id} shows the shipment moving.

The same journey as the quickstart, now with clicks.

The same spec works in Insomnia, Bruno, Hoppscotch, and any OpenAPI 3.1-compatible client generator.

Integrate AI agents

These docs are machine-readable, so you do not need to scrape them:

Resource	What it is
`/llms.txt`	Compact index of the whole documentation: every page with its summary, organized by section. The entry point for an agent.
`/llms-full.txt`	The full corpus: each page’s complete markdown in a single file.
Any URL + `.md`	That page’s raw markdown — for example, `/en/getting-started/quickstart.md`.
“Copy as Markdown” button	On every page, under the table of contents — copies the page ready to paste into a chat or an issue.

Point your agent (Claude Code, Cursor, Copilot) at https://docs.sendit.mx/llms.txt and it can navigate the entire documentation on its own.