This guide walks you through your first ACAAS request, then introduces the endpoints you are most likely to reach for next. Total time: about sixty seconds, plus however long it takes to find your terminal.Documentation Index
Fetch the complete documentation index at: https://acaas.mintlify.app/llms.txt
Use this file to discover all available pages before exploring further.
Before you begin
You need:- An API key. For the demo, any non-empty string works — except
acaas_banned_demo_key, whose bullhorn has been revoked. In production, generate a key from the dashboard. - A terminal with
curl, or a Python or Node environment. - Lowercase text that deserves to be louder.
https://api.acaas.example.com. Every authenticated request
sends your key in the X-API-Key header.
Step 1: Confirm the service is up
The/v1/health endpoint requires no authentication. Use it to verify
connectivity before you spend a request.
status and version:
Step 2: Make your first shout
SendPOST /v1/shout with the text you want amplified. The body is a single
JSON object with a text field.
Step 3: Inspect the response
Every capitalization endpoint returns the same envelope:original— the text you sent in, returned verbatim.result— the text, but louder.characters_amplified— the count of characters that changed case.
Add intensity with scream
When/v1/shout is not loud enough, reach for /v1/scream. It uppercases the
text and appends exclamation marks. Set intensity between 1 and 10 to
control how many.
Response
Try the experimental emphasis model
/v1/emphasize lets a model pick which words to bold instead of uppercasing
everything. Behavior is non-deterministic and tunable.
For request shape, the emphasis_ratio parameter, response fields, and
guidance on when to use it, see
Experimental emphasis.
Handle errors
Validation errors return HTTP422 with a detail array. Other common
statuses are 401 (bad key), 413 (text too long), and 429 (rate limit).
For full status code coverage and copy-paste retry patterns, see
Errors.
Check your rate limits
/v1/rate-limits reports your remaining quota without consuming a request.
requests_remaining, resets_in_seconds, and a
categorical status (ok, approaching_limit, at_limit). For proactive
pacing and the full status ladder, see Rate limiting.
Next steps
Cookbook
Build a complete Python release-notes amplifier end-to-end.
Experimental emphasis
Tune the model that picks which words to bold.
Errors
Every status code and recommended recovery pattern.
Rate limiting
Quota mechanics, the
status ladder, and graceful backoff.