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HALOWERK buerowerk — Clinical Medication Meeting Transcript Note Register
x402
HALOWERK buerowerk — Clinical Medication Meeting Transcript 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).
Processes structured meeting transcript segments (with speaker, timing, and text) to extract and register clinical medication notes from medical meeting recordings.
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 extracted and registered clinical medication literals and source notes derived from the provided transcript segments, including structured data about medication mentions tied to speaker and timestamp context from the meeting recording.
Example use cases
Post-consultation medication note extraction
“Here's a transcript from a 45-minute patient consultation with segments labeled by doctor and nurse — each line has a start time, end time, speaker, and what was said. Please extract all the medication references and register them as structured clinical notes.”
Pharmacy team meeting documentation
“We just finished a pharmacy team review meeting and I have the full transcript with cues. Can you process these timestamped segments from the three speakers and pull out every medication literal mentioned so we can register them in our notes system?”
Clinical trial site meeting log
“I need to register source notes from a clinical trial site meeting. I have the transcript package with media duration and all the speaker cues. Can you extract all medication and treatment mentions from the segments and create the clinical notes record?”
Technical details
Endpoint
POSThttps://buero.halowerk.com/v1/baumarkt/meeting/clinical-medication-literals-source-note-register?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have structured, timestamped meeting transcript data from a clinical or medical context and need to automatically extract and register medication-related notes. It is specifically suited for multi-speaker medical meetings where the transcript is already segmented with start/end times and speaker labels. Prefer this over generic NLP extraction if you need the output registered as source notes in a clinical workflow. Best when input is already in a segmented transcript format (not raw audio or unstructured text).
Side effects
- Missing required segment fields (start, end, speaker, text) causes validation error
- Segment timestamps exceeding maximum (14400 seconds for segments, 1800 for transcript_package) cause rejection
- Empty or oversized text fields (over 3000 chars per segment) trigger schema validation failure
- Providing neither 'segments' nor 'transcript_package' results in an error
- Payment failure via x402/USDC causes 402 response before processing
- More than 20000 items in segments or cues arrays causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| segments | array | |
| transcript_package | object |
Output
Schema · Response
{
"type": "json"
}Tags
x402
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