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Label Review Analytics: Grouped Numeric Summary + Numeric Row Ordering
x402
Label Review Analytics: Grouped Numeric Summary + Numeric Row Ordering 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).
Produces two analytical reports from label review records: a grouped numeric summary (by dataset_group) and a numeric row ordering, for up to 200 supplied rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Label review — Grouped numeric summary + Numeric row ordering: Grouped numeric summary + Numeric row ordering 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 analytical reports: (1) a grouped numeric summary aggregating reviewed_records or changed_labels statistics by dataset_group, and (2) a numerically ordered ranking of all input rows by the selected field. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
Summarize label review by dataset group
“I have a week's worth of label review records split across three dataset groups. Can you give me a grouped numeric summary of the reviewed_records and also rank the rows numerically? Here are my rows: row-1 on 2026-11-01 in group-alpha with 50 reviewed_records and 5 changed_labels, row-2 on 2026-11-02 in group-beta with 80 reviewed_records and 12 changed_labels, row-3 on 2026-11-03 in group-alpha with 40 reviewed_records and 3 changed_labels. Use reviewed_records as the field.”
Rank annotation sessions by changed labels
“I want to see my annotation sessions ranked by changed_labels. I have 5 rows: row-1 group-x 2026-09-01 reviewed_records=100 changed_labels=8, row-2 group-y 2026-09-02 reviewed_records=200 changed_labels=22, row-3 group-x 2026-09-03 reviewed_records=150 changed_labels=5, row-4 group-y 2026-09-04 reviewed_records=90 changed_labels=15, row-5 group-x 2026-09-05 reviewed_records=130 changed_labels=11. Please use changed_labels as the field for the numeric ordering and also give me a grouped summary by dataset group.”
Audit label change rates across review cycles
“Can you analyze these label review records for me and produce a grouped summary plus a numeric row ranking? I've got 6 rows from two review cycles — cycle-A and cycle-B — spanning 2026-12-01 to 2026-12-06, with reviewed_records ranging from 25 to 200 and changed_labels from 0 to 40. I'll paste the full data: row-1 cycle-A 2026-12-01 reviewed_records=25 changed_labels=0, row-2 cycle-B 2026-12-02 reviewed_records=100 changed_labels=10, row-3 cycle-A 2026-12-03 reviewed_records=50 changed_labels=5, row-4 cycle-B 2026-12-04 reviewed_records=200 changed_labels=40, row-5 cycle-A 2026-12-05 reviewed_records=75 changed_labels=8, row-6 cycle-B 2026-12-06 reviewed_records=120 changed_labels=15. Use reviewed_records as the field.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-12-087?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a grouped aggregate summary and a numeric row ranking for label review data (reviewed_records, changed_labels) in a single $0.01 call covering up to 200 rows. It is purpose-built for ML label review analytics and requires no external data sources or predictions — ideal for offline or batch post-processing of review session logs.
Side effects
- More than 200 rows submitted — request rejected due to maxItems constraint
- Missing required fields (row_id, dataset_group, date, reviewed_records, changed_labels) — validation error
- Date field not in YYYY-MM-DD format — schema validation failure
- Numeric fields outside allowed range (-1,000,000,000,000 to 1,000,000,000,000) — rejected
- Invalid field enum value (must be 'reviewed_records' or 'changed_labels') — validation error
- Empty rows array — rejected due to minItems constraint
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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