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Label Review — Record Quality Audit + Equal-Width Histogram
x402
Label Review — Record Quality Audit + Equal-Width Histogram 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).
Runs two local analytical reports on label review data: a record quality audit and an equal-width histogram, for up to 200 rows of reviewed_records or changed_labels values.
Price / call$0.01
Success—
StatusUnknown
How this service works
Label review — Record quality audit + Equal-width histogram: Record quality audit + Equal-width histogram 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 identifying issues such as missing values, nulls, or anomalies in the label review records, and (2) an equal-width histogram of the chosen field (reviewed_records or changed_labels) divided into the specified number of bins, with counts per bin. All analysis is performed locally on the supplied data with no external lookups.
Example use cases
Pre-training annotation quality check
“Before I kick off model training, can you audit the quality of these 120 label review records and show me a histogram of reviewed_records across 8 equal-width bins so I can spot any weird distributions?”
Spot-checking label churn across groups
“I want to understand how much label churn we had across our dataset groups last sprint — can you run a quality audit and a 5-bin histogram on the changed_labels field for these 80 review rows?”
Data pipeline validation for labeling team
“Our labeling team submitted 200 rows of review data for October — can you run a record quality audit and a 15-bin equal-width histogram on the reviewed_records field so we can catch any gaps or anomalies before sign-off?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-12-013?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two simultaneous analytical reports — a data quality audit and a distribution histogram — on label review data (reviewed_records and changed_labels) without any external API calls, predictions, or live lookups. Ideal for ML/annotation pipeline validation steps where you want cheap, fast, local-only analysis of up to 200 rows. At $0.01 USDC you get both reports in a single call, making it cost-effective compared to running separate quality and histogram tools.
Side effects
- More than 200 rows submitted — request rejected due to row limit
- Invalid date format (not YYYY-MM-DD) causes row validation failure
- Missing required fields (row_id, reviewed_records, changed_labels) causes schema rejection
- bins value outside 1–30 range causes parameter rejection
- All values null for selected field — histogram may be empty or degenerate
- Non-numeric values in reviewed_records or changed_labels cause parse errors
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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