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Label Review Analytics: Numeric Interval Filter + Keyed Dataset Comparison
x402
Label Review Analytics: Numeric Interval Filter + Keyed Dataset Comparison 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 analytical reports on label review data: a numeric interval filter on reviewed_records or changed_labels, and a keyed comparison between two supplied datasets, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Label review — Numeric interval filter + Keyed dataset comparison: Numeric interval filter + Keyed dataset comparison 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 numeric interval filter report identifying rows where the selected field (reviewed_records or changed_labels) falls within specified bounds, and (2) a keyed dataset comparison report highlighting differences between the two supplied datasets matched by row_id, across up to 200 rows total.
Example use cases
Annotation batch quality audit
“I have this week's label review batch with reviewed_records and changed_labels across group-a and group-b. Can you filter the rows where reviewed_records falls in a specific numeric range and also compare it against last week's dataset to see which rows changed?”
Detecting labeling discrepancies between teams
“We have two annotation teams working on the same dataset — here are both their label review records with row IDs, dates, and changed_labels counts. Run a keyed dataset comparison on changed_labels to show me where their numbers differ, and also filter reviewed_records by interval to flag any outliers.”
Tracking label change rates over time
“I want to compare this month's label review data against last month's snapshot — same row IDs and dataset groups. Filter on reviewed_records values between 10 and 100, and run a keyed comparison on changed_labels so I can see which rows shifted the most.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-12-134?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to simultaneously (1) filter label review records by a numeric range on reviewed_records or changed_labels AND (2) compare two keyed datasets of label review records to detect row-level differences. It is purpose-built for ML annotation and data labeling workflows where you have timestamped, group-tagged records and want both interval-based filtering and dataset diffing in a single low-cost call. Prefer this over general analytics tools when your data fits the label review schema (row_id, dataset_group, date, reviewed_records, changed_labels) and you want both reports for $0.01 with no external data lookups.
Side effects
- More than 200 rows submitted — request exceeds maxItems limit and will be rejected
- Missing required fields (row_id, dataset_group, date, reviewed_records, changed_labels) cause validation errors
- Invalid date format (not YYYY-MM-DD) triggers pattern validation failure
- Numeric values outside the allowed range (±1,000,000,000,000) are rejected
- Empty rows array (minItems: 1 not met) returns a validation error
- Mismatched row_ids between primary and comparison datasets may produce incomplete comparison results
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array | |
| maximum | number | |
| minimum | number |
Tags
x402
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