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Company Filing Inventories — Record Quality Audit + String Normalisation + Grouped Numeric Summary
x402
Company Filing Inventories — 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 2026-10-20).
Runs three local analytical reports on company filing inventory data: a record quality audit, string normalisation, and a grouped numeric summary — all in one call for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Company filing inventories — Record quality audit + String normalisation + Grouped numeric summary: Record quality audit + String normalisation + Grouped numeric summary for supplied company filing inventories records (available_filings, expected_filings). 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 derived from the supplied rows: (1) a record quality audit flagging nulls, format issues, and anomalies; (2) a string normalisation report cleaning and standardising text fields like company_group; (3) a grouped numeric summary aggregating the chosen numeric field (available_filings or expected_filings) by company_group. All computed locally with no external lookups.
Example use cases
Filing completeness check before audit
“I have 50 rows of filing inventory records across our company groups for Q3 — can you run a record quality audit, string normalisation, and grouped numeric summary on the available_filings field so I can spot gaps before our external audit?”
Comparing expected vs available filings by group
“Run the three-report bundle on this filing inventory dataset using the expected_filings field — I want to see the grouped numeric summary broken down by company group to understand where we're over or under on filings.”
Data cleaning pass on imported filing records
“We just imported filing inventory data from a legacy system and I need to clean it up — can you do a record quality audit and string normalisation on these 120 rows, plus give me a grouped numeric summary on available_filings?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-17-194?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three distinct data-quality and summarisation reports in a single API call on company filing inventory data with up to 200 rows, and want to avoid making separate calls for each report. It is particularly useful when you need record quality auditing, string normalisation, and grouped numeric aggregation together for the same dataset at low cost ($0.01 USDC for all three). Prefer alternatives if you only need one report type (sibling endpoints exist for individual reports), need more than 200 rows, or require live external data lookups or predictive analysis.
Side effects
- Rows array empty or missing — returns validation error
- More than 200 rows submitted — rejected with max-items error
- Invalid date format (not YYYY-MM-DD) — row-level validation failure
- row_id missing or blank — schema validation error
- field enum value not one of available_filings or expected_filings — rejected
- Numeric values outside ±1,000,000,000,000 range — schema rejection
- Payment not included or insufficient — 402 Payment Required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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