{"uid":"cap_0POM0aVpNf_YpmsrB4nnG","slug":"halowerk-buerowerk-meeting-support-authentication-source-note-register-b5ddd37b","name":"HALOWERK buerowerk Meeting Support Authentication Source Note Register","description":"HALOWERK buerowerk — bezahlte Endpunkte nach x402. 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The segments cover a 45-minute call with timestamps from 0 to 2700 seconds.","exampleUseCases":[{"title":"Support call note extraction","prompt":"We just finished a customer support call — I have the transcript broken into 12 timestamped segments with speaker labels. Can you run it through the meeting note register to pull out action items, authentication mentions, and source references?"},{"title":"Post-meeting knowledge registration","prompt":"I've got a transcript package from our 30-minute team meeting with 8 cues and a media duration of 1800 seconds — can you process it and register the key notes and source mentions?"},{"title":"Authentication event detection in recorded session","prompt":"I have a security review meeting transcript with 20 segments, each with start/end times and speaker IDs — please extract and register any authentication-related events or source citations mentioned during the session."}],"resultDescription":"A JSON response containing structured extracted data from the meeting transcript, including registered notes, identified authentication events, source references, and support annotations derived from the provided segments or transcript package cues.","failureModes":["Missing required segment fields (start, end, text) returns a validation error","Segment end time of 0 or exceeding 14400 seconds causes schema rejection","Transcript package media duration exceeding 1800 seconds fails validation","Empty segments array or no transcript_package provided returns an input error","Text fields exceeding 3000 characters per segment trigger truncation or rejection","More than 20000 cues or segments causes a payload size error"],"whenToPreferThis":"Choose this endpoint when you have structured meeting transcript data — either as raw segments with timestamps and speaker labels, or as a packaged transcript with media metadata — and need to extract notes, authentication markers, source references, and support annotations in a single call. Prefer this over generic NLP APIs when your data is already segmented with timing and speaker information in the expected schema format.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T07:18:45.878Z","isFirstParty":false,"canonicalSlug":"halowerk-buerowerk-meeting-support-authentication-source-note-register-b5ddd37b"}