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Internal Support Record Quality Audit + String Normalisation + Grouped Numeric Summary
x402
Internal Support Record Quality Audit + String Normalisation + Grouped Numeric Summary is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).
Runs three offline analytical reports on internal support records: a data quality audit, string normalisation, and grouped numeric summary — up to 200 rows per call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Internal support — Record quality audit + String normalisation + Grouped numeric summary: Record quality audit + String normalisation + Grouped numeric summary for supplied internal support records (responded_requests, received_requests). 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
Three independent analytical reports returned together: (1) a record quality audit flagging malformed, null, or out-of-range values; (2) a string normalisation report for text fields like team_group; and (3) a grouped numeric summary aggregating the selected numeric field (responded_requests or received_requests) by team group and date — all computed locally with no external lookups.
Example use cases
Support team data quality check
“I've got a batch of about 80 internal support records with team_group, date, responded_requests, and received_requests fields — can you run a data quality audit on them and flag any problem rows?”
Grouped summary of received requests by team
“Take my 120-row internal support dataset and give me a grouped numeric summary of received_requests broken down by team_group so I can see which teams are getting the most volume.”
Normalise team name strings before reporting
“My support records have inconsistent team_group naming — can you run a string normalisation report across all 60 rows so I get clean, standardised team names before I build my dashboard?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-operations-22-194?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three bundled offline data-quality reports on internal support request records in a single low-cost call, without needing external lookups, predictions, or live data enrichment. It is best suited for pre-import validation and exploratory summarisation of small-to-medium batches (up to 200 rows) of team support data.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, team_group, date, responded_requests, received_requests) cause row-level rejection
- Invalid date format (non-YYYY-MM-DD) triggers pattern validation failure
- Numeric values outside ±1,000,000,000,000 are rejected
- Empty rows array returns an error
- Invalid field enum value (not responded_requests or received_requests) causes request failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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