Zero to a working integration in ~5 minutes

Everything you need to call the Massalaskuri Partner API: a real sample blueprint, the exact output to expect, and copy-paste end-to-end scripts in bash, Node, and Python — plus a signature-verifying webhook receiver. Set API_KEY and run.

Download the files

download ↓

sample-plan.pdf

A real electrical blueprint to test with (≈1 MB).

view ↗

expected-output.json

What a done job response looks like.

view ↗

quickstart.sh

Bash end-to-end. Needs curl + jq.

view ↗

example.mjs

Node 18+ end-to-end (no dependencies).

view ↗

example.py

Python 3 end-to-end (stdlib only).

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webhook-receiver.mjs

Minimal, signature-verifying receiver (Node 18+).

download ↓

massalaskuri-api.d.ts

Typed TypeScript client types (generated from OpenAPI).

download ↓

massalaskuri.postman_collection.json

Postman collection — import & run every endpoint.

Run it

bash

Node

Python

# needs curl + jq
curl -O https://api.massalaskuri.com/examples/quickstart.sh && chmod +x quickstart.sh
API_KEY=mlk_xxx ./quickstart.sh

curl -O https://api.massalaskuri.com/examples/example.mjs
curl -O https://api.massalaskuri.com/examples/sample-plan.pdf
API_KEY=mlk_xxx node example.mjs sample-plan.pdf

curl -O https://api.massalaskuri.com/examples/example.py
curl -O https://api.massalaskuri.com/examples/sample-plan.pdf
API_KEY=mlk_xxx python3 example.py sample-plan.pdf

Tooling

OpenAPI spec: /openapi.json — import straight into Postman, Bruno or Insomnia (File → Import → URL), or generate a typed client: npx openapi-typescript https://api.massalaskuri.com/openapi.json -o massalaskuri.d.ts
Interactive docs / try-it: /docs
Live visual demo: /playground
For AI assistants: /llms.txt · /llms-full.txt (full single-file reference)