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HALOWERK Keyword Clip Range Finder
x402
HALOWERK Keyword Clip Range Finder is a paid API for AI agents from medien.halowerk.com, paid per call via x402, $0.031/call, status unknown (last checked 2026-10-20).
Returns padded timestamp ranges (cue clips) around caller-specified literal keywords found in a transcript of a media file, using Deepgram for transcription.
Price / call$0.031
Success—
StatusUnknown
How this service works
Propose padded cue clips around caller-specified literal keywords. Reuses exactly one existing qualified transcript-package request. Source audio leaves the server for the existing Deepgram processor; existing provider disclosure and cost/margin retained. Deterministic timestamps/text processing only; no acoustic VAD, speaker identity or specialist accuracy claims. Base motor quote plus0.001USDC; article fails before settlement if the motor fails.
Output
A JSON response containing a list of cue clip ranges, each with start and end timestamps (in seconds) padded around each keyword match found in the transcript, along with the matched keyword text and its position within the transcript.
Example use cases
Podcast keyword highlight extraction
“I have a podcast episode and I need to find every moment where the speaker says 'climate change' or 'solar energy' — can you pull the timestamp ranges with about 5 seconds of padding so I can splice those clips together?”
Retail ad compliance review
“Go through our hardware store promotional video transcript and find all the places where 'Sonderangebot' or 'Rabatt' is spoken, and give me the clip ranges padded by 2 seconds so our compliance team can review those sections.”
News archive keyword clipping
“Find every occurrence of the word 'Bundesrat' in the archived broadcast transcript and return padded clip boundaries — I need 4 seconds before and after each mention — so I can build a montage of those segments.”
Technical details
Endpoint
POSThttps://medien.halowerk.com/v1/baumarkt/media/keyword-clip-ranges?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need deterministic, literal keyword search with padded timestamp windows from an existing transcript package — it does not perform acoustic VAD or speaker diarization, so it is best suited for simple keyword spotting tasks on pre-qualified media where you want precise clip boundaries rather than semantic or speaker-aware search.
Side effects
- Keyword not found in transcript — returns empty clip list
- Transcript package request fails or is invalid — article fails before settlement
- Deepgram transcription service unavailable — upstream failure propagated
- Audio file inaccessible or unsupported format — processing error
- Invalid padding value or malformed keyword list — request validation error
- Payment settlement failure if base motor fails — transaction aborted
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| source | object | |
| language | string | |
| literal_terms | array | |
| duration_minutes | integer | |
| confidence_threshold | number |
Output
Schema · Response
{
"type": "json"
}Tags
x402
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