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Company Filing Inventories — Record Quality Audit, String Normalisation & Daily Sum Series
x402
Company Filing Inventories — Record Quality Audit, String Normalisation & Daily Sum Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-16).
Runs three local analytical reports on company filing inventory data: a record quality audit, string normalisation, and a daily sum series — no external lookups.
Price / call$0.01
Success—
StatusUnknown
How this service works
Company filing inventories — Record quality audit + String normalisation + Daily sum series: Record quality audit + String normalisation + Daily sum series 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 for the supplied dataset: (1) a record quality audit flagging missing, malformed, or out-of-range values; (2) a string normalisation report cleaning company_group and other text fields; and (3) a daily sum series aggregating the chosen numeric field (available_filings or expected_filings) by date — all computed locally with no external data lookups.
Example use cases
Filing completeness check before submission
“I have a batch of 80 company filing inventory records with available_filings and expected_filings columns — can you audit the record quality, normalise the company group strings, and give me a daily sum of available_filings so I can spot any gaps before we submit?”
Data quality review for regulatory audit
“We're preparing for a regulatory review and need to validate our filing inventory dataset. Run a full quality audit, string normalisation, and daily aggregation on expected_filings for these 150 rows of company filing data.”
Daily filing pipeline monitoring
“At the end of each day I want to check our filing inventory pipeline — please run the record quality audit, string normalisation, and a daily sum series on available_filings for today's batch of company filing rows.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-17-198?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of company filing inventory data and need three bundled local analytical reports — quality audit, string normalisation, and daily aggregation — in a single cost-effective call ($0.01 USDC). Prefer it over bespoke data pipelines when you want fast, offline-style analysis without any external lookups, predictions, or professional assessments. Best suited for compliance teams, data engineers, or agents that need to validate and summarise filing inventory data before downstream processing.
Side effects
- Empty or missing rows array returns validation error
- More than 200 rows causes rejection due to row limit
- Invalid date format (not YYYY-MM-DD) triggers pattern validation failure
- Numeric values outside ±1,000,000,000,000 range are rejected
- Missing required fields (row_id, date, company_group, available_filings, expected_filings) cause schema errors
- Invalid field enum value (not available_filings or expected_filings) returns error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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