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Company Filing Inventories — Record Quality Audit & Adjacent Row Changes
x402
Company Filing Inventories — Record Quality Audit & Adjacent Row Changes 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 two local analytical reports on company filing inventory data: a record quality audit and adjacent row change detection, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Company filing inventories — Record quality audit + Adjacent row changes: Record quality audit + Adjacent row changes for supplied company filing inventories records (available_filings, expected_filings). 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
Returns two independent analytical reports: (1) a record quality audit identifying missing values, format issues, outliers, or inconsistencies in the specified field across supplied rows; and (2) an adjacent row changes report showing row-over-row deltas for the selected field (available_filings or expected_filings), all computed locally without external lookups.
Example use cases
Pre-analysis data quality check
“I have a table of company filing records with available_filings and expected_filings columns across multiple dates and company groups — can you audit the record quality and flag any bad rows, and also show me how each row's available_filings changed compared to the previous row?”
Detecting filing count anomalies by group
“Run an adjacent row changes report on my expected_filings data for company groups alpha, beta, and gamma across the past month — I want to spot any sudden jumps or drops between consecutive dates.”
Validating filing inventory before regulatory submission
“Before I finalize our filing inventory report, can you check the data quality of these 150 rows covering available_filings across all our company groups and dates, and highlight any records that look incomplete or inconsistent?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-17-011?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need offline, privacy-preserving analytical reports on tabular company filing inventory data — specifically a quality audit and adjacent row change detection — without any external data lookup or live enrichment. Ideal for pre-processing datasets before downstream analysis, validating filing counts across company groups and dates, or spotting anomalies in sequential filing records. Best when your dataset fits within 200 rows and you want two distinct analytical perspectives for a flat $0.01 USDC fee.
Side effects
- Fewer than 1 or more than 200 rows provided — rejected with validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Missing required fields (row_id, company_group, date, available_filings, expected_filings) — request rejected
- Field enum value not one of 'available_filings' or 'expected_filings' — validation error
- Payment not included or insufficient — x402 payment required response
- Null numeric values may reduce report completeness but are allowed within range
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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