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Onboarding Progress Duplicate Key Report + Adjacent Row Changes
x402
Onboarding Progress Duplicate Key Report + Adjacent Row Changes 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).
Analyzes onboarding progress records to produce a duplicate key report and adjacent row change detection report for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Onboarding progress — Duplicate key report + Adjacent row changes: Duplicate key report + Adjacent row changes 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 independent analytical reports: (1) a duplicate key report identifying rows with repeated row_id values, and (2) an adjacent row changes report showing value shifts between consecutive rows for the selected field (completed_steps or required_steps). Both reports are computed locally from the supplied data with no external lookups.
Example use cases
Audit team onboarding data quality
“I have a CSV of onboarding progress records for our 3 teams — about 120 rows with row IDs, dates, team groups, and step counts. Can you check it for duplicate row IDs and also flag where the completed_steps value changes dramatically between adjacent rows?”
Spot duplicate entries in step completion logs
“We're seeing weird numbers in our onboarding dashboard — can you take these 80 rows of step completion data and run a duplicate key report plus an adjacent row changes check on the required_steps field to see if something got double-logged?”
Compare consecutive onboarding records across groups
“Run a duplicate key check and adjacent row change report on these onboarding progress entries for group-a and group-b — about 60 rows — and focus the row-change analysis on the completed_steps column.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-operations-08-062?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need fast, local data-quality checks on onboarding progress datasets — specifically duplicate row ID detection and adjacent-row value change analysis — without any external lookup, prediction, or live data. Best suited for batch auditing of up to 200 rows of onboarding step completion records at very low cost ($0.01 USDC for both reports).
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, team_group, date, completed_steps, required_steps) causes request rejection
- Invalid date format (non YYYY-MM-DD) triggers schema validation failure
- Providing fewer than 1 row returns an error
- Field enum value outside completed_steps or required_steps is rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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