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Material Libraries Record Quality Audit + Daily Sum Series
x402
Material Libraries Record Quality Audit + 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 2026-10-21).
Runs two local analytical reports on supplied material library records: a data quality audit and a daily sum time series for material_count or texture_mb fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Material libraries — Record quality audit + Daily sum series: Record quality audit + Daily sum series for supplied material libraries records (material_count, texture_mb). 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
Two reports: (1) a record quality audit flagging completeness, consistency, and anomaly issues per row for the chosen field, and (2) a daily sum time series aggregating the selected metric (material_count or texture_mb) by date — both computed locally from the supplied rows with no external lookups.
Example use cases
3D pipeline data quality check
“I have 120 rows of material library records from our 3D asset pipeline — each has a row_id, asset_group, date, material_count, and texture_mb. Can you run a quality audit on them and flag any missing or suspicious values?”
Daily texture usage aggregation
“Can you take my material library rows and produce a daily sum series for the texture_mb field? I've got records across multiple asset groups and dates and want to see total texture megabytes per day.”
Material count trend for creative team
“Our creative team needs a daily aggregated total of material_count across all asset groups for the past month's records — we have about 80 rows. Can you also run a quality audit at the same time to catch any bad data before we report it?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-03-009?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of material library records and need both a data quality audit and a daily aggregation in a single low-cost call ($0.01 USDC), without requiring live data lookups, external integrations, or predictions. It is ideal for creative pipeline QA workflows where local analytical computation on supplied data is sufficient.
Side effects
- Submitting more than 200 rows returns an error or truncation
- Missing required fields (row_id, date, asset_group) causes validation failure
- Invalid date format (not YYYY-MM-DD) triggers a pattern mismatch error
- Null values in the selected metric field may affect sum series accuracy
- Selecting an invalid field enum value returns a schema validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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