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Texture Baking Analytics — Duplicate Key Report + Daily Sum Series
x402
Texture Baking Analytics — Duplicate Key Report + Daily Sum Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-27).
Runs two local analytical reports on texture baking records: a duplicate key detection report and a daily sum time series for a chosen numeric field.
Price / call$0.01
Success—
StatusUnknown
How this service works
Texture baking — Duplicate key report + Daily sum series: Duplicate key report + Daily sum series for supplied texture baking records (bake_seconds, texture_pixels). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.
Output
Returns two independent reports: (1) a duplicate key report listing any row_id values that appear more than once in the input, and (2) a daily sum time series showing the total of the selected numeric field (bake_seconds or texture_pixels) aggregated by date. Both reports are computed locally with no external lookups.
Example use cases
Audit texture baking logs for duplicates
“I have a batch of texture baking records from last month and I need to know if any row IDs are duplicated — can you run a duplicate key report on them and also give me the daily total of bake_seconds?”
Daily texture pixel throughput over a sprint
“Here are my texture baking records for the past two weeks. Can you give me a daily sum of texture_pixels and also flag any duplicate row IDs in the dataset?”
QA check before pipeline handoff
“Before I hand off this texture baking dataset to the next stage, can you check it for duplicate row keys and summarize the bake_seconds totals by day so I can spot any anomalies?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-10-060?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a duplicate key audit and a daily aggregated time series on texture baking data in a single call, without needing external data enrichment, predictions, or live lookups. Ideal for 3D asset pipeline QA workflows where datasets are under 200 rows and the fields of interest are bake_seconds or texture_pixels.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, bake_seconds, texture_pixels) on any row — validation error
- Invalid date format not matching YYYY-MM-DD pattern — schema validation failure
- Selected field value not one of the allowed enum values (bake_seconds, texture_pixels) — error
- Empty rows array — rejected by minItems constraint
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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