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Onboarding Progress String Normalisation and Keyed Dataset Comparison
x402
Onboarding Progress String Normalisation and Keyed Dataset Comparison is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-04).
Normalises onboarding progress strings and compares two keyed datasets of completed_steps and required_steps records, producing two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Onboarding progress — String normalisation + Keyed dataset comparison: String normalisation + Keyed dataset comparison 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 cleaning and standardising onboarding step strings across rows, and (2) a keyed dataset comparison report showing row-by-row differences in completed_steps and required_steps between the two supplied datasets. No external lookups or predictions are made; all analysis is performed locally on the supplied data.
Example use cases
Onboarding completion audit across teams
“I have two batches of onboarding progress data for our engineering and sales teams, each row has a row_id, team_group, date, completed_steps and required_steps. Can you normalise the step strings and compare the two datasets to show me where completed_steps differ between the two snapshots?”
Weekly onboarding progress diff
“Here are last week's and this week's onboarding progress records — up to 200 rows each with row_id, date, team_group, completed_steps, and required_steps. Run a string normalisation and keyed dataset comparison so I can see which rows changed between the two weeks.”
Cross-team required steps discrepancy check
“I've got two exports of onboarding data from different systems, both containing row_id, team_group, date, completed_steps, and required_steps fields. Normalise the strings and compare them key-by-key so I can find any rows where required_steps or completed_steps don't match.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-operations-08-036?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both string normalisation and a keyed row-by-row comparison of two onboarding progress datasets (completed_steps, required_steps) in a single call, with no need for external data lookups or live predictions. It is well-suited for auditing onboarding data consistency, diffing two snapshots, or identifying step-count discrepancies across team groups, especially when working within a 200-row batch limit.
Side effects
- Fewer than 1 row supplied — validation error
- More than 200 rows supplied — request rejected
- Missing required fields (row_id, team_group, date, completed_steps, required_steps) — schema validation error
- Date field does not match YYYY-MM-DD format — pattern validation failure
- row_id exceeds 80 characters — field length error
- Payment not included or insufficient — x402 payment required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| other | array |
Tags
x402
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