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Company Filing Inventories — Record Quality Audit, String Normalisation & Duplicate Key Report
x402
Company Filing Inventories — Record Quality Audit, String Normalisation & Duplicate Key Report 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).
Audits up to 200 rows of company filing inventory data (available_filings, expected_filings) for record quality issues, normalises strings, and identifies duplicate keys — returning 3 independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Company filing inventories — Record quality audit + String normalisation + Duplicate key report: Record quality audit + String normalisation + Duplicate key report 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 reports: (1) a record quality audit highlighting data issues such as missing values, out-of-range numbers, or malformed dates; (2) a string normalisation report showing how text fields like company_group were standardised; and (3) a duplicate key report identifying rows sharing the same row_id or compound key combinations. All analysis is performed locally on the supplied data — no external lookups or live data.
Example use cases
Pre-submission data quality check
“Before we submit our quarterly filing inventory to the regulator, can you run a record quality audit and duplicate key check on these 120 rows of company filing data — each row has a row_id, company_group, date, available_filings, and expected_filings?”
Cleaning merged filing datasets
“We just merged two filing inventory datasets from different teams and I suspect there are duplicate entries and inconsistent string formatting. Can you normalise the strings and give me a duplicate key report for these 180 rows?”
Routine data governance review
“As part of our monthly data governance process, can you audit these 95 company filing inventory records for quality issues and flag any rows with duplicate keys or malformed company_group strings?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-17-192?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular company filing inventory data (up to 200 rows) and need simultaneous record quality auditing, string normalisation, and duplicate key detection in a single call. It is ideal for pre-submission data checks, post-merge deduplication, or routine data governance reviews where all three reports are needed together at low cost. Not suitable for live data lookups, predictive analytics, external data enrichment, or datasets larger than 200 rows.
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) cause row-level validation errors
- Invalid date format (not YYYY-MM-DD) triggers pattern validation failure
- Numeric values outside the allowed range (±1,000,000,000,000) rejected by schema
- Empty rows array (minItems: 1 violated) causes request failure
- Payment of 0.01 USDC not included or declined results in 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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