Deprecated: use POST /robots/v1/jobs/analyze-structure instead. Creates a job that generates a coherent title, summary, tags, chapters, scenes, and key moments from shared evidence for a Mux asset.
Arbitrary string stored with the job and returned in responses. Useful for correlating jobs with your own systems.
The Mux asset ID of the video to analyze.
BCP 47 language code of the caption source. An explicit language must match a ready source exactly, including case; for example, en does not match en-US. Translation target exclusion and track replacement instead compare base languages case-insensitively. When omitted, automatic selection applies. Uses the first ready subtitle in asset track order without English preference. Audio-only assets with one ready text track lacking subtitle metadata can use that legacy transcript.
BCP 47 language code for generated text. Auto-detected from available evidence when omitted.
Curated controls that restrict Analyze Structure execution or guide its generated metadata without exposing raw prompt editing. The scope start is inclusive, the end is exclusive, and returned timestamps remain absolute.
Optional media execution window. Results remain timestamped against the original media timeline.
Start of the execution window in seconds from the beginning of the media. When omitted, the window starts at the beginning.
End of the execution window in seconds from the beginning of the media. When omitted, the window extends to the end.
Intended audience used as best-effort guidance without changing the output schema.
Preferred brand or domain terms to use when supported by the source content.
Controlled vocabulary used as best-effort guidance for generated labels and concepts.
Optional customer-facing name for the taxonomy.
Controlled vocabulary values used as best-effort model guidance.
Canonical taxonomy value to prefer when supported by the source content.
Short explanation of when this value applies.
Accepted alternate names that should normalize to the canonical label.
When false, the model should prefer values from the taxonomy. When true, non-taxonomy values may be used when no taxonomy value applies.
Best-effort guidance that moves scene and chapter density together.
When true, writes the generated title to asset.meta.title after analysis. Defaults to false. Best-effort: a metadata-write failure does not fail the analysis. Check outputs.asset_updates.title for the outcome.
When true, replaces or creates the asset's chapters track after analysis. Defaults to false. Best-effort: a chapters-write failure does not fail the analysis. Check outputs.asset_updates.chapters for the outcome.
{
"parameters": {
"asset_id": "mux_asset_123abc",
"language_code": "en",
"output_language_code": "en",
"output_steering": {
"scope": {
"start_time": 30,
"end_time": 300
},
"audience": "Developers evaluating video APIs",
"brand_terms": [
"Mux",
"Mux Data"
],
"granularity": "balanced"
},
"update_asset_meta": true,
"update_asset_chapters": true
}
}{
"data": {
"id": "rjob_example123",
"workflow": "analyze-structure",
"status": "pending",
"units_consumed": 0,
"created_at": 1700000000,
"updated_at": 1700000060,
"parameters": {
"asset_id": "mux_asset_123abc",
"language_code": "en",
"output_language_code": "en",
"output_steering": {
"scope": {
"start_time": 30,
"end_time": 300
},
"audience": "Developers evaluating video APIs",
"brand_terms": [
"Mux",
"Mux Data"
],
"granularity": "balanced"
},
"update_asset_meta": true,
"update_asset_chapters": true
}
}
}