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Onboarding Progress Data Quality & Histogram Analyzer
x402
Onboarding Progress Data Quality & Histogram Analyzer is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-30).
Runs three local analytical reports on onboarding progress records: a record quality audit, string normalization, and an equal-width histogram on completed_steps or required_steps.
Price / call$0.01
Success—
StatusUnknown
How this service works
Onboarding progress — Record quality audit + String normalisation + Equal-width histogram: Record quality audit + String normalisation + Equal-width histogram for supplied onboarding progress records (completed_steps, required_steps). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Three independent analytical reports: (1) a record quality audit flagging missing, null, or out-of-range values per row; (2) a string normalization report standardizing team_group and other string fields; (3) an equal-width histogram with the configured number of bins summarizing the distribution of the selected numeric field (completed_steps or required_steps). All computed locally with no external lookups.
Example use cases
Onboarding data quality check
“I have 80 onboarding progress records from our HR system with team groups, dates, completed_steps, and required_steps — can you run a quality audit and normalize the team group strings, then give me a 10-bin histogram on completed_steps?”
Detecting missing steps in new hire tracking
“We track new hire onboarding with completed and required steps per row — can you audit these 50 records for missing or bad values, normalize the group labels, and show me how completed_steps are distributed across 5 equal bins?”
Comparing required steps distribution across teams
“Run the quality audit and string normalization on these onboarding rows, and build a histogram with 8 bins on required_steps so I can see how step requirements are spread across team groups.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-operations-08-202?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a combined data quality audit, string normalization, and histogram report on onboarding progress data in a single low-cost call. It is ideal for HR analytics pipelines or agent workflows that need to validate and understand the distribution of onboarding step completion data without any external API calls or live data lookups. Best when you have up to 200 onboarding records and want three reports for $0.01.
Side effects
- Exceeding 200 rows returns a validation error
- Invalid date format (not YYYY-MM-DD) causes row rejection
- Missing required fields (row_id, completed_steps, required_steps) causes schema validation failure
- bin count outside 1-30 range returns error
- Empty rows array returns error
- Non-numeric values in completed_steps or required_steps (when not null) cause computation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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