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Onboarding Progress Analyzer — Quality Audit + Deduplication + Base-100 Series
x402
Onboarding Progress Analyzer — Quality Audit + Deduplication + Base-100 Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-24).
Runs three analytical reports on onboarding progress data: record quality audit, exact row deduplication, and a base-100 indexed series for completed_steps or required_steps.
Price / call$0.01
Success—
StatusUnknown
How this service works
Onboarding progress — Record quality audit + Exact row deduplication + Base-100 series: Record quality audit + Exact row deduplication + Base-100 series 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
Returns three independent analytical reports: (1) a record quality audit flagging null, out-of-range, or malformed values in completed_steps and required_steps; (2) an exact row deduplication report identifying identical records; and (3) a base-100 indexed series for the selected field (completed_steps or required_steps) relative to the specified base row index. All computed locally from the supplied data with no external lookups.
Example use cases
HR team onboarding data cleanup
“I have a CSV of onboarding progress records for multiple teams with completed_steps and required_steps — can you check them for data quality issues and duplicates, and also give me a base-100 indexed trend of completed_steps starting from the first row?”
Compliance audit on onboarding completions
“Before we file our quarterly compliance report, can you audit these onboarding progress records for our groups alpha and beta, flag any bad or duplicate rows, and index the required_steps field to base-100 starting at row 0?”
Onboarding analytics dashboard prep
“I need to prep my onboarding analytics — can you take these up to 150 rows of team progress data, run a record quality audit and deduplication check, and generate a base-100 series on completed_steps so I can track relative progress over time?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-operations-08-218?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need all three of: data quality auditing, exact duplicate detection, and base-100 series indexing for onboarding progress data (completed_steps / required_steps) in a single $0.01 call covering up to 200 rows. It is ideal for preprocessing onboarding datasets before dashboarding or reporting, when no external data or live lookups are needed and all analysis runs on the supplied records. Prefer alternatives if you only need one of the three reports, need more than 200 rows, or require predictive modeling.
Side effects
- More than 200 rows submitted — API rejects with an error as maxItems is 200
- Missing required fields (row_id, team_group, date, completed_steps, required_steps) cause row-level validation failure
- Invalid date format (not YYYY-MM-DD) causes schema validation error
- base_index out of range (>199 or <0) causes an error
- Empty rows array (minItems:1 violated) causes rejection
- Numeric values outside ±1,000,000,000,000 range may be rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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