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HALOWERK buerowerk – Interview / Career Source Note Register
x402
HALOWERK buerowerk – Interview / Career 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).
Analyzes a job-interview or career-related meeting transcript and registers structured notes, sources, and action items extracted from it.
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 object containing structured notes extracted from the interview transcript, including identified speakers, key discussion points, career source references, and registered action items or follow-ups derived from the meeting content.
Example use cases
Post-interview candidate note registration
“We wrapped up a 45-minute technical interview with a software engineer candidate. Here's the transcript with speaker segments and timestamps — please extract and register structured notes about their responses, qualifications, and any red flags we should follow up on.”
Career coaching session documentation
“I had a career coaching session this morning and I've got the full transcript with timestamped cues. Can you analyze it and create a structured note with the main advice, career sources mentioned, and action items I need to complete?”
Recruiting pipeline interview log
“Please process this transcript from our recruiter's screening call — it's about 30 minutes long with speaker labels — and register a structured interview note including the candidate's background, job source, and next steps.”
Technical details
Endpoint
POSThttps://buero.halowerk.com/v1/baumarkt/meeting/interview-career-source-note-register?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a structured, timestamped interview or career-related meeting transcript (with speaker segments) and need to automatically extract and register notes, sources, and action items. It is purpose-built for recruitment, career coaching, and hiring workflows where the transcript is already segmented. Prefer it over generic summarization endpoints when you need registered, persisted structured output with speaker attribution and career-domain understanding.
Side effects
- Empty or missing segments array returns a 400 validation error
- Segment timestamps exceeding maximum (14400 seconds) are rejected
- Text content exceeding 3000 characters per segment causes a validation failure
- Payment not included or insufficient USDC balance results in a 402 Payment Required response
- Malformed transcript_package missing required cues or media fields returns a schema validation error
- More than 20000 segments or cues causes a rejection due to maxItems constraint
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| segments | array | |
| transcript_package | object |
Output
Schema · Response
{
"type": "json"
}Tags
x402
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