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HALOWERK Buerowerk – Interview Projects Source Note Register
x402
HALOWERK Buerowerk – Interview Projects 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 2026-10-18).
Analyzes a meeting/interview transcript (segmented with speaker, timing, and text) to extract and register project-relevant source notes.
Price / call$0.01
Success—
StatusUnknown
How this service works
Source keyword register for project interview passages with verified-note crosswalk; literal vocabulary only. Reuses exactly one existing qualified meeting-notes request. Supplied source goes to the existing Groq model in the USA; existing processor disclosure and cost/margin retained. Notes quotes/owners/deadlines are verified by the unchanged motor first. Extra rules are deterministic; no semantic deadline resolution or specialist advice.
Output
A JSON response containing extracted and registered source notes derived from the interview or meeting transcript, organized from the segmented input with speaker and timing context.
Example use cases
User research interview documentation
“I just finished a 30-minute user research interview — here are all the timed transcript segments with speaker IDs and text. Can you extract and register the key project source notes from this interview so I can reference them later?”
Hiring interview note capture
“We recorded a technical interview that lasted about 25 minutes. I have the full transcript broken into segments with start/end times and speaker labels. Can you process it and register the important notes as project source items?”
Stakeholder meeting source extraction
“I have a segmented transcript from a 90-minute stakeholder meeting with three speakers — timestamps, speaker tags, and text are all included. Please analyze it and register the relevant project source notes from the discussion.”
Technical details
Endpoint
POSThttps://buero.halowerk.com/v1/baumarkt/meeting/interview-projects-source-note-register?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a structured, time-coded interview or meeting transcript with speaker labels and need to extract and register project-relevant source notes automatically. It is particularly suited for post-interview documentation workflows, user research pipelines, or any scenario where meeting transcripts need to be converted into actionable, registered project notes. Prefer it over generic summarization APIs when you need the output stored/registered as project sources rather than a plain summary.
Side effects
- Empty or missing segments array returns validation error
- Segment text exceeding 3000 characters is rejected
- Duration exceeding 1800 seconds (transcript_package) or 14400 seconds (segments) fails schema validation
- Missing required fields (start, end, speaker, text) in segments cause rejection
- Payment failure (402) if x402 USDC payment on Base Mainnet is not completed
- Too many segments (over 20000 items) triggers maxItems error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| segments | array | |
| transcript_package | object |
Output
Schema · Response
{
"type": "json"
}Tags
x402
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