{"uid":"cap_fjMZzQlRl7wcDVpgQD0no","slug":"halowerk-buerowerk-meeting-source-segment-coverage-1f1e72b5","name":"HALOWERK buerowerk — Meeting Source Segment Coverage","description":"HALOWERK buerowerk — bezahlte Endpunkte nach x402. 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Can you calculate which segments each speaker covered and give me a breakdown of source-segment coverage across the whole meeting?"},{"title":"Transcript coverage gap detection","prompt":"Here's a set of meeting transcript cues with start/end times and speaker IDs — can you map out which parts of the meeting are covered by identifiable sources and flag any gaps in coverage?"},{"title":"Multi-speaker segment mapping for minutes","prompt":"I recorded a 30-minute client call and have the transcript broken into 120 cue segments with speaker labels. Run a source-segment coverage analysis so I know which speaker contributed to which parts of the call."}],"resultDescription":"A JSON object containing computed coverage data showing which transcript segments are attributed to which sources or speakers, including coverage metrics across the meeting timeline. The exact structure depends on the service response but typically includes per-source and per-segment coverage statistics.","failureModes":["Segments array is empty or missing required fields (start, end, speaker, text) — returns 400 validation error","Timestamps exceed allowed maximum (14400 seconds for segments, 1800 seconds for transcript_package cues) — returns 400","Text fields exceed 3000 character limit per segment — returns 400","More than 20000 segments submitted — returns 400 limit exceeded error","Payment not provided or insufficient USDC — returns 402 payment required","Neither segments nor transcript_package provided — returns 400 missing required input"],"whenToPreferThis":"Use this endpoint when you need to compute source or speaker segment coverage from a structured meeting transcript with timestamped cues. It is specifically designed for meeting analytics in the baumarkt context under HALOWERK buerowerk and accepts either a flat segments array or a structured transcript_package with media metadata. Prefer it when you have speaker-labeled, timestamped transcript data and need to understand coverage distribution rather than generate a summary or perform sentiment analysis.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T06:49:51.664Z","isFirstParty":false,"canonicalSlug":"halowerk-buerowerk-meeting-source-segment-coverage-1f1e72b5"}