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HALOWERK buerowerk Meeting Support Authentication Source Note Register
x402
HALOWERK buerowerk Meeting Support Authentication Source Note Register is a paid API for AI agents from buero.halowerk.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-22).
Processes meeting transcript segments or transcript packages to extract structured support, authentication, source, and note registration insights.
Price / call$0.01
Success—
StatusUnknown
How this service works
HALOWERK buerowerk — bezahlte Endpunkte nach x402. Preise in USDC auf Base Mainnet.
Output
A JSON response containing structured extracted data from the meeting transcript, including registered notes, identified authentication events, source references, and support annotations derived from the provided segments or transcript package cues.
Example use cases
Support call note extraction
“We just finished a customer support call — I have the transcript broken into 12 timestamped segments with speaker labels. Can you run it through the meeting note register to pull out action items, authentication mentions, and source references?”
Post-meeting knowledge registration
“I've got a transcript package from our 30-minute team meeting with 8 cues and a media duration of 1800 seconds — can you process it and register the key notes and source mentions?”
Authentication event detection in recorded session
“I have a security review meeting transcript with 20 segments, each with start/end times and speaker IDs — please extract and register any authentication-related events or source citations mentioned during the session.”
Technical details
Endpoint
POSThttps://buero.halowerk.com/v1/baumarkt/meeting/support-authentication-source-note-register?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have structured meeting transcript data — either as raw segments with timestamps and speaker labels, or as a packaged transcript with media metadata — and need to extract notes, authentication markers, source references, and support annotations in a single call. Prefer this over generic NLP APIs when your data is already segmented with timing and speaker information in the expected schema format.
Side effects
- Missing required segment fields (start, end, text) returns a validation error
- Segment end time of 0 or exceeding 14400 seconds causes schema rejection
- Transcript package media duration exceeding 1800 seconds fails validation
- Empty segments array or no transcript_package provided returns an input error
- Text fields exceeding 3000 characters per segment trigger truncation or rejection
- More than 20000 cues or segments causes a payload size error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| segments | array | |
| transcript_package | object |
Output
Schema · Response
{
"type": "json"
}Tags
x402
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