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Company Filing Inventories — Record Quality Audit + String Normalisation + Keyed Dataset Comparison
x402
Company Filing Inventories — Record Quality Audit + String Normalisation + Keyed Dataset Comparison 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 analytical reports on up to 200 company filing inventory records: a record quality audit, string normalisation, and keyed dataset comparison between two supplied datasets.
Price / call$0.01
Success—
StatusUnknown
How this service works
Company filing inventories — Record quality audit + String normalisation + Keyed dataset comparison: Record quality audit + String normalisation + Keyed dataset comparison 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
Three independent analytical reports: (1) a record quality audit identifying issues such as nulls, malformed values, or out-of-range entries in the supplied rows; (2) a string normalisation report showing cleaned/standardised string fields like company_group; and (3) a keyed dataset comparison report highlighting differences between the two supplied datasets (rows vs other) matched on shared keys such as row_id and date.
Example use cases
Filing completeness gap analysis
“I have two snapshots of our company filing records — one showing available filings and one showing expected filings — can you run a keyed dataset comparison to find where they diverge, plus audit the record quality across both sets? There are around 120 rows each with row IDs, company groups, and dates.”
String normalisation for merger data reconciliation
“We just merged two filing systems and the company group names are inconsistently formatted. Can you normalise the strings across our 80 filing inventory rows and flag any record quality issues at the same time?”
Regulatory filing inventory quality check
“Before we submit our quarterly compliance report, can you run a record quality audit on our 200 company filing inventory rows and also compare the available_filings column against the expected_filings column to surface any mismatches?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-17-207?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need all three of record quality auditing, string normalisation, and keyed dataset comparison performed together on company filing inventory data in a single call. It is cost-efficient at $0.01 USDC for three reports covering up to 200 rows. Prefer it over single-report endpoints when you have two datasets to compare (available vs expected filings) and also need data cleaning in the same pass. It performs purely local analytics — no external lookups or live data — making it suitable for sensitive or offline data.
Side effects
- Input array exceeds 200 rows — request will be rejected or truncated
- Missing required fields (row_id, company_group, date, available_filings, expected_filings) causes validation error
- Date strings not matching YYYY-MM-DD pattern are rejected
- Numeric values outside ±1,000,000,000,000 range are rejected
- Empty rows array (minItems: 1 not satisfied) causes schema error
- Payment of 0.01 USDC not included causes 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| other | array |
Tags
x402
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