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Label Review — Record Quality Audit + Daily Sum Series
x402
Label Review — 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 2026-10-24).
Runs two local analytical reports on label review data: a record quality audit and a daily sum time series, for up to 200 rows at $0.01 USDC.
Price / call$0.01
Success—
StatusUnknown
How this service works
Label review — Record quality audit + Daily sum series: Record quality audit + Daily sum series for supplied label review records (reviewed_records, changed_labels). 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 analytical reports: (1) a record quality audit flagging data issues such as nulls, out-of-range values, or malformed rows across the submitted label review records, and (2) a daily sum time series aggregating the selected field (reviewed_records or changed_labels) by date. All computation is local with no external lookups.
Example use cases
Annotation pipeline daily rollup
“I need a daily sum series for reviewed_records across my annotation label review batches — here are the rows with dates from 2026-10-01 to 2026-10-04, split across group-a and group-b. Can you run the quality audit and daily aggregation on them?”
Spotting data quality issues in label exports
“Can you audit the quality of these label review records I exported? I want to know if there are any bad rows and also see the daily totals for changed_labels across my dataset groups.”
Tracking label change volume over time
“I want to see how many labels changed each day in my review pipeline. Run a daily sum series on the changed_labels field for these records — about 150 rows covering the last month across three dataset groups.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-12-009?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a record quality audit and a daily sum time series from a single call on label review data (reviewed_records, changed_labels) at minimal cost ($0.01 USDC for up to 200 rows). It is ideal when you want local, deterministic analytics without external API calls, predictions, or professional assessments. Prefer it over general-purpose analytics tools when your data is already structured in the label review schema and you need fast, cheap dual-report output.
Side effects
- Input array exceeds 200 rows — request will be rejected
- Missing required fields (row_id, date, reviewed_records, changed_labels) cause row-level errors
- Malformed date strings not matching YYYY-MM-DD pattern rejected by schema
- Numeric values outside allowed range (-1T to 1T) cause validation failure
- Empty rows array returns an error
- Invalid field enum value (not 'reviewed_records' or 'changed_labels') causes failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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