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Form Inventories — Record Quality Audit + String Normalisation + Secondary-Measure Weighted Mean
x402
Form Inventories — Record Quality Audit + String Normalisation + Secondary-Measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-26).
Runs three analytical reports on form inventory data: a record quality audit, string normalisation, and a secondary-measure weighted mean, for up to 200 rows of field_count and labelled_fields data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Form inventories — Record quality audit + String normalisation + Secondary-measure weighted mean: Record quality audit + String normalisation + Secondary-measure weighted mean for supplied form inventories records (field_count, labelled_fields). 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 for the submitted form inventory rows: (1) a record quality audit flagging data issues, (2) string-normalised versions of string fields, and (3) a secondary-measure weighted mean computed from the supplied numeric fields (field_count or labelled_fields). All analysis is local with no external lookups.
Example use cases
Form data quality check before migration
“I'm about to migrate our form inventory and need to audit record quality and normalise the site_group strings for about 50 rows — each row has a row_id, date, site_group, field_count, and labelled_fields. Can you run all three reports and tell me what looks off?”
Weighted mean of labelled fields by site group
“For my form inventory dataset with 30 rows across multiple site groups, can you compute the weighted mean for labelled_fields and also run the quality audit and string normalisation at the same time?”
Monthly form inventory analytics report
“I have this month's form inventory data — 120 rows with field_count and labelled_fields per site group — can you run the record quality audit, normalise any inconsistent strings, and give me a weighted mean for field_count?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-web-21-205?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a bundled three-in-one analytical pass on form inventory records — combining quality auditing, string normalisation, and weighted mean computation — in a single cost-efficient call. It is ideal for offline batch analysis of up to 200 rows without requiring external lookups or live data connections. Prefer it over single-purpose endpoints when you need all three report types simultaneously on the same dataset.
Side effects
- Submitting more than 200 rows returns an error
- Missing required fields (row_id, date, field_count, labelled_fields) cause validation failure
- Invalid date format (not YYYY-MM-DD) triggers a pattern mismatch error
- Numeric fields outside allowed range cause schema rejection
- Empty rows array rejected (minItems: 1)
- Payment failure via x402 protocol blocks the request
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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