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Halowerk Buero Meeting Notes Generator
x402
Halowerk Buero Meeting Notes Generator is a paid API for AI agents from buero.halowerk.com, paid per call via x402, $0.009/call, status unknown (last checked 2026-10-12).
Converts a meeting transcript package (cues with speaker/time data, or legacy speaker segments) into structured meeting notes
Price / call$0.009
Success—
StatusUnknown
How this service works
Accepts a complete transcript-package response with media duration up to 1800 seconds, including words/SRT/VTT/metadata, or legacy speaker segments. Uses every cue; adjacent same-speaker cues are joined with one space, retaining original cue index ranges. Anonymous labels stay anonymous. Up to 20000 input cues/segments and 120000 normalized text characters; 16 MiB JSON transport bound.
Output
Structured meeting notes derived from the transcript, including summaries of discussion, key decisions, and action items, organized by topic or speaker as appropriate. Output reflects the full meeting content with adjacent same-speaker cues merged for readability.
Example use cases
Post-meeting notes from Zoom transcript
“I just got a VTT transcript from my Zoom call — it's about 45 minutes, has speaker labels and timestamps — can you turn it into clean meeting notes with action items and decisions?”
Board meeting minutes from recorded session
“Here's the full transcript package from our board meeting, it runs about 28 minutes with multiple speakers. Please generate formal meeting notes I can share with the team.”
Sales call summary with follow-ups
“I have a transcript of a sales discovery call — around 20 minutes, speakers labeled — can you extract the key discussion points, commitments, and next steps into meeting notes?”
Technical details
Endpoint
POSThttps://buero.halowerk.com/v1/meeting-notes?utm_source=zero.xyzWhen to prefer
Use this endpoint when you have a structured transcript with timestamped cues and speaker labels (e.g. output from a transcription service like Whisper, AssemblyAI, or Deepgram) and need to produce human-readable meeting notes. It supports both modern transcript_package format (with SRT/VTT-style cues and media metadata) and legacy speaker-segment arrays. Prefer this over generic text summarization when you have rich cue-level data with speaker attribution, as it leverages the full structure for better output quality.
Side effects
- Transcript cues exceed 20,000 item limit — request rejected
- Media duration exceeds 1800 seconds (30 minutes) for transcript_package format — validation error
- JSON payload exceeds 16 MiB transport limit — rejected
- No cues or segments provided (minItems: 1 violated) — validation error
- Text content per cue exceeds 3,000 characters — schema violation
- Payment not fulfilled (x402 payment required before processing)
- Speaker labels missing or malformed — may degrade speaker attribution in notes
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| segments | array | |
| transcript_package | object |
Tags
x402
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