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Document Approvals — String Normalisation + Date-by-Category Pivot
x402
Document Approvals — String Normalisation + Date-by-Category Pivot 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 two analytical reports on document approval records: string normalisation of text fields and a date-by-category pivot, for up to 200 rows of submitted/approved document data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Document approvals — String normalisation + Date by category pivot: String normalisation + Date by category pivot for supplied document approvals records (submitted_documents, approved_documents). 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 that cleans and standardises text fields (e.g. team_group) across the supplied rows, and (2) a date-by-category pivot table aggregating the selected numeric field (submitted_documents or approved_documents) broken down by date and team_group category. All processing is performed locally on the supplied data with no external lookups.
Example use cases
Approval rate pivot by team
“I've got records from our four document review teams — each row has a date, team name, and counts for submitted and approved documents. Can you pivot the approved_documents field by date and team_group so I can see how each team is performing over time?”
Clean up messy team name strings
“Our team_group labels in the approval export are inconsistent — some have extra spaces or mixed casing. Can you run string normalisation on these 80 rows so the values are clean and consistent before I load them into the dashboard?”
Monthly submission summary for compliance audit
“I need to prepare for a compliance review and I have 120 rows of submitted_documents and approved_documents data by team and date. Run both the string normalisation and the date-by-category pivot on submitted_documents so I get a clean structured summary to share with the auditors.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-operations-17-035?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of document approval records and need both string normalisation of categorical/text fields and a date-by-category pivot in a single low-cost call ($0.01 USDC). It is ideal for pre-dashboard data cleaning, compliance reporting prep, or quick offline analytical summaries where no live data lookup or external prediction is required.
Side effects
- Rows array is empty or exceeds 200 items — request rejected
- date field does not match YYYY-MM-DD format — validation error
- row_id missing or blank — schema validation failure
- numeric fields outside allowed range (±1,000,000,000,000) — rejected
- field enum value not 'submitted_documents' or 'approved_documents' — invalid input
- Payment of 0.01 USDC not completed — 402 response before processing
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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