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Onboarding Progress Record Quality Audit + Equal-Width Histogram
x402
Onboarding Progress 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 2026-10-22).
Runs a data quality audit and an equal-width histogram analysis on onboarding progress records (completed_steps and required_steps) for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Onboarding progress — Record quality audit + Equal-width histogram: Record quality audit + Equal-width histogram for supplied onboarding progress records (completed_steps, required_steps). 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 record quality audit listing data issues such as nulls, out-of-range values, and invalid entries per row; and (2) an equal-width histogram showing the frequency distribution of the chosen field (completed_steps or required_steps) across the specified number of bins, including bin boundaries and counts.
Example use cases
Audit team onboarding data quality
“I have 150 onboarding records from two teams — can you check them for data quality issues and also show me a 5-bin histogram of the completed_steps field so I can see how step completion is distributed?”
Spot missing required_steps values
“Run a record quality audit on this batch of onboarding progress records and generate an equal-width histogram with 8 bins for the required_steps field — I want to catch any nulls or outliers before we report to leadership.”
Profile onboarding completion across groups
“I've got 200 rows of onboarding progress data across several team groups. Can you do a quality audit plus a 10-bin histogram on completed_steps so I can understand the distribution and flag any bad records?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-operations-08-013?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a data quality audit and a histogram distribution report on onboarding progress fields (completed_steps or required_steps) in a single low-cost call. It is ideal for HR analytics pipelines, onboarding dashboard preparation, or pre-reporting data validation where up to 200 rows need to be profiled quickly without any external lookups or predictions.
Side effects
- Empty rows array or missing required fields (row_id, date, completed_steps, required_steps) cause validation errors
- More than 200 rows submitted exceeds the maximum and will be rejected
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Bins value outside 1–30 range is rejected
- All values null for the target field may produce a degenerate histogram
- Payment failure or insufficient USDC balance prevents call execution
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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