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HALOWERK buerowerk — Decision Source Timeline
x402
HALOWERK buerowerk — Decision Source Timeline is a paid API for AI agents from buero.halowerk.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-31).
Analyzes a meeting transcript to produce a chronological timeline of decision sources and key decision moments identified across speakers.
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 a chronological timeline of decision-source events extracted from the meeting transcript, including timestamps, speaker attributions, and the text context surrounding each identified decision moment.
Example use cases
Post-meeting decision audit
“We just finished a 30-minute leadership call and I have the transcript with speaker labels and timestamps — can you build a timeline showing every decision made and who drove each one?”
Legal review of recorded discussion
“I have a recorded discussion transcribed into segments with start and end times — can you identify all the decision points chronologically and show which speaker was the source for each one?”
Product sprint retrospective analysis
“Here's the transcript from our sprint planning session with speaker IDs and timestamps — extract a timeline of all the decisions and who they came from so we can document what was agreed.”
Technical details
Endpoint
POSThttps://buero.halowerk.com/v1/baumarkt/meeting/decision-source-timeline?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need structured, speaker-attributed decision timelines extracted from meeting transcripts with precise timestamps. It is purpose-built for meeting intelligence workflows where identifying who decided what and when is the primary goal, as opposed to general summarization or sentiment analysis tools.
Side effects
- Missing required segment fields (start, end, speaker, text) returns a validation error
- Segment timestamps outside allowed range (>14400 seconds) are rejected
- Empty segments array or exceeding 20000-item limit causes schema validation failure
- Ambiguous or null speaker labels may reduce attribution accuracy in the timeline
- Transcript text exceeding 3000 characters per segment is rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| segments | array | |
| transcript_package | object |
Output
Schema · Response
{
"type": "json"
}Tags
x402
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