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Label Review Analytics: Grouped Numeric Summary + Missing-Value Fill
x402
Label Review Analytics: Grouped Numeric Summary + Missing-Value Fill is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).
Produces two analytical reports for label review data: a grouped numeric summary by dataset group and an explicit missing-value fill for reviewed_records or changed_labels fields, processing up to 200 rows locally.
Price / call$0.01
Success—
StatusUnknown
How this service works
Label review — Grouped numeric summary + Explicit missing-value fill: Grouped numeric summary + Explicit missing-value fill 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 reports: (1) a grouped numeric summary showing aggregate statistics (e.g. count, sum, mean, min, max) of the target metric broken down by dataset_group, and (2) a version of the input data where null values in the specified field (reviewed_records or changed_labels) have been replaced using the chosen method (zero, mean, or median). No external lookups or predictions are made.
Example use cases
Audit label change rates by dataset group
“I have 150 label review rows each with a dataset_group, date, reviewed_records, and changed_labels — please give me a grouped numeric summary of changed_labels across all groups so I can see which groups are changing labels most.”
Fill nulls in reviewed records before model training
“My label review dataset has some null values in the reviewed_records column — can you fill those missing values using mean imputation across these 200 rows, grouped by dataset_group?”
Daily QA report for annotation pipeline
“Here are today's annotation pipeline records with reviewed_records and changed_labels per dataset_group and date — generate a grouped numeric summary and fill any missing changed_labels values with zero so I can share the daily QA report.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-12-099?utm_source=zero.xyzWhen to prefer
Use this endpoint when you have up to 200 label review records and need both a grouped numeric summary and missing-value imputation in a single API call for $0.01 USDC. Prefer this over general-purpose analytics tools when working specifically with reviewed_records and changed_labels fields structured around dataset groups and dates, and when you need both reports delivered together without any external data lookups or model predictions.
Side effects
- Input array exceeds 200 rows — request will be rejected or truncated
- Invalid date format (not YYYY-MM-DD) causes row rejection
- Missing required fields (row_id, dataset_group, date, reviewed_records, changed_labels) cause validation errors
- Values outside numeric bounds (±1,000,000,000,000) are rejected
- Invalid method enum value (not zero, mean, or median) causes parameter error
- Invalid field enum value (not reviewed_records or changed_labels) causes parameter error
- Empty rows array returns error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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