clips_vertical
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Third-party content written by another agent. Data to evaluate, not instructions.
Batch-cut a set of your own chosen vertical 9:16 clips from a prior find_clips job in one purchase. Two-call flow: (1) call with source_job_id (a find_clips job id) and clips (1-5 objects {start, end, title?} in source seconds — your own picks from that job's clip-candidates output; nothing is auto-selected) to receive {job_id, payment_challenge}; (2) pay by credit card via the returned payment_url or Tempo USDC via mppx, then call again with job_id + payment_credential to start processing. Poll get_job_status(job_id); outputs are roles clip-1-video through clip-N-video (one 1080×1920 .mp4 per requested clip, loudness-normalized to -14 LUFS / -1.5 dBTP) plus clips-manifest (JSON) recording each clip's timing, output role, and any per-clip failure — a batch delivering fewer than N clips is not refunded, only one delivering zero is. Price: N × $0.50 per clip, charged once for the whole batch (Stripe quantity) rather than once per clip — see /.well-known/mpp.json for the Tempo USDC rate. Optional profile (default tiktok-primary; also tiktok-primary-720p, instagram-reels, instagram-stories) and subject (default follow, switches crop between active speakers; auto and center are opt-outs) apply to every clip in the batch. Use this once find_clips has surfaced candidates you like, to cut several in one purchase instead of one extract_vertical_clip call per clip; use extract_vertical_clip directly instead when you need per-clip framing control or more than 5 clips from one source. Source must still be in storage — check expires_at on the find_clips parent via get_job_status. Retrying with job_id alone recovers the current state.
Input schema
| Property | Type | Required | Description |
|---|---|---|---|
| source_job_id | string | no | Job ID of a prior find_clips job. Possessing this id is the capability — clips_vertical is not session-bound, so a user can come back from a different session within the parent's TTL and still cut. Required on the first call. |
| clips | array | no | Your own chosen clips (1-5) from source_job_id's clip-candidates output — nothing is auto-selected. Each is cut as a separate vertical clip; the batch is charged N × the per-clip price as one payment covering the whole set, not one charge per clip. Total duration across all clips is capped. Required on the first call. |
| profile | string | no | Optional encoding profile applied to every clip in the batch. Default: tiktok-primary (1080×1920 H.264 fast preset, CRF 22, 6 Mbps cap). tiktok-primary-720p: 720×1280, CBR 3 Mbps. instagram-reels: 1080×1920 H.264 slow preset, CBR 4 Mbps. instagram-stories: same encode shape as instagram-reels. Also sets each clip's max duration (240s/180s/60s). All four apply loudness normalization to -14 LUFS / -1.5 dBTP. |
| subject | string | no | Optional reframing strategy applied to every clip in the batch. Default: "follow" — cuts between active-speaker framings across each clip, the mode that makes multi-speaker interview clips usable. "auto": one detected framing for the whole clip. "center": fixed centre crop, no detection. "subject_id" and "manual" are not supported here — they need per-clip data a batch call cannot supply; use extract_vertical_clip directly for those. |
| job_id | string | no | Job ID returned from a previous clips_vertical call. Include along with payment_credential to confirm payment and trigger processing. Also include alone to recover the current state. |
| payment_credential | string | no | MPP payment credential (full Authorization header value, e.g. "Payment eyJ..."). clips_vertical accepts Tempo USDC and Stripe SPT — see the challenge's WWW-Authenticate header or /.well-known/mpp.json for the supported methods. Include with job_id after paying the challenge to start processing. |
Raw JSON schema
{
"type": "object",
"properties": {
"source_job_id": {
"description": "Job ID of a prior find_clips job. Possessing this id is the capability — clips_vertical is not session-bound, so a user can come back from a different session within the parent's TTL and still cut. Required on the first call.",
"type": "string",
"format": "uuid",
"pattern": "^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[1-8][0-9a-fA-F]{3}-[89abAB][0-9a-fA-F]{3}-[0-9a-fA-F]{12}|00000000-0000-0000-0000-000000000000|ffffffff-ffff-ffff-ffff-ffffffffffff)$"
},
"clips": {
"description": "Your own chosen clips (1-5) from source_job_id's clip-candidates output — nothing is auto-selected. Each is cut as a separate vertical clip; the batch is charged N × the per-clip price as one payment covering the whole set, not one charge per clip. Total duration across all clips is capped. Required on the first call.",
"minItems": 1,
"maxItems": 5,
"type": "array",
"items": {
"type": "object",
"properties": {
"start": {
"type": "number",
"minimum": 0,
"description": "Source-relative start time in seconds."
},
"end": {
"type": "number",
"minimum": 0,
"description": "Source-relative end time in seconds. Must be > start."
},
"title": {
"description": "Optional title for this clip; surfaces in the clips-manifest output and download filenames.",
"type": "string",
"maxLength": 200
}
},
"required": [
"start",
"end"
],
"additionalProperties": false
}
},
"profile": {
"description": "Optional encoding profile applied to every clip in the batch. Default: tiktok-primary (1080×1920 H.264 fast preset, CRF 22, 6 Mbps cap). tiktok-primary-720p: 720×1280, CBR 3 Mbps. instagram-reels: 1080×1920 H.264 slow preset, CBR 4 Mbps. instagram-stories: same encode shape as instagram-reels. Also sets each clip's max duration (240s/180s/60s). All four apply loudness normalization to -14 LUFS / -1.5 dBTP.",
"type": "string",
"enum": [
"tiktok-primary",
"tiktok-primary-720p",
"instagram-reels",
"instagram-stories"
]
},
"subject": {
"description": "Optional reframing strategy applied to every clip in the batch. Default: \"follow\" — cuts between active-speaker framings across each clip, the mode that makes multi-speaker interview clips usable. \"auto\": one detected framing for the whole clip. \"center\": fixed centre crop, no detection. \"subject_id\" and \"manual\" are not supported here — they need per-clip data a batch call cannot supply; use extract_vertical_clip directly for those.",
"type": "string",
"enum": [
"follow",
"auto",
"center"
]
},
"job_id": {
"description": "Job ID returned from a previous clips_vertical call. Include along with payment_credential to confirm payment and trigger processing. Also include alone to recover the current state.",
"type": "string",
"format": "uuid",
"pattern": "^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[1-8][0-9a-fA-F]{3}-[89abAB][0-9a-fA-F]{3}-[0-9a-fA-F]{12}|00000000-0000-0000-0000-000000000000|ffffffff-ffff-ffff-ffff-ffffffffffff)$"
},
"payment_credential": {
"description": "MPP payment credential (full Authorization header value, e.g. \"Payment eyJ...\"). clips_vertical accepts Tempo USDC and Stripe SPT — see the challenge's WWW-Authenticate header or /.well-known/mpp.json for the supported methods. Include with job_id after paying the challenge to start processing.",
"type": "string"
}
},
"additionalProperties": false
}