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Label Review Analytics: Duplicate Key Report + Equal-Width Histogram
x402
Label Review Analytics: Duplicate Key Report + 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 duplicate key report and an equal-width histogram for reviewed_records or changed_labels, up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Label review — Duplicate key report + Equal-width histogram: Duplicate key report + 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 reports: (1) a duplicate key report listing any row_ids that appear more than once in the submitted data, and (2) an equal-width histogram showing the frequency distribution of the chosen numeric field (reviewed_records or changed_labels) across the specified number of bins, with bin boundaries and counts.
Example use cases
Duplicate detection in annotation pipeline
“I have 150 rows of label review records from our annotation pipeline and I want to know if any row IDs appear more than once — can you run a duplicate key report on them and also give me a histogram of reviewed_records across 5 bins?”
Distribution check for changed labels
“Run an equal-width histogram with 10 bins on the changed_labels field for my label review dataset, and while you're at it flag any duplicate row keys — I have about 80 rows across two dataset groups.”
QA audit of ML labeling batch
“I'm doing a QA audit on a batch of 200 label review records. Can you check for duplicate row IDs and show me how the reviewed_records values are distributed across 6 equal-width buckets?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-12-064?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both duplicate key detection and a numeric distribution histogram on label review data in a single low-cost call ($0.01 USDC). It is ideal for ML labeling pipeline QA, annotation data audits, or any workflow where you want to simultaneously validate row uniqueness and understand the spread of reviewed_records or changed_labels across equal-width buckets, without requiring external lookups or predictions.
Side effects
- Fewer than 1 row submitted returns a validation error
- More than 200 rows submitted exceeds the maximum and is rejected
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Bins parameter outside 1–30 range is rejected
- Null values in the selected histogram field may produce empty or partial histogram bins
- Non-numeric values in reviewed_records or changed_labels cause schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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