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Onboarding Progress String Normalisation and Two-Measure Correlation
x402
Onboarding Progress String Normalisation and Two-Measure Correlation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-02).
Runs string normalisation and two-measure correlation analysis on onboarding progress records (completed_steps, required_steps) for up to 200 rows, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Onboarding progress — String normalisation + Two-measure correlation: String normalisation + Two-measure correlation 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
Two analytical reports: (1) a string normalisation report covering the team_group and other string fields in the submitted rows, and (2) a two-measure correlation report quantifying the statistical relationship between completed_steps and required_steps across the submitted dataset of up to 200 rows.
Example use cases
Onboarding completion correlation by team
“I have onboarding data for two teams over the past week — can you normalize the team group names and run a correlation between completed_steps and required_steps across all 50 rows to see if teams completing more required steps are also finishing more total steps?”
HR data quality check for new hire tracking
“We track new hire onboarding progress daily per group and I need the group name strings normalized and a correlation report between how many steps are completed versus required — here are 120 rows of records from Q3.”
Cross-group onboarding pace analysis
“Can you analyze these 80 onboarding progress records across group-a and group-b, normalize any inconsistent team group labels, and tell me the correlation between completed_steps and required_steps so I can see if required workload predicts completion?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-operations-08-033?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have onboarding progress tabular data (up to 200 rows) and need both string normalisation on categorical fields like team_group and a statistical correlation between two numeric measures (completed_steps and required_steps) in a single low-cost call. It is ideal for HR analytics pipelines, onboarding dashboards, or data quality workflows where offline computation on supplied data is sufficient and no live data lookup or external action is needed.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, date, completed_steps, required_steps) causes rejection
- Invalid date format (not YYYY-MM-DD) triggers a pattern validation error
- Null values in both numeric measures may degrade correlation output
- Empty rows array (minItems:1 violated) causes a schema error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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