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Company Filing Inventories — Record Quality Audit + Exact Row Deduplication + Numeric Distribution
x402
Company Filing Inventories — Record Quality Audit + Exact Row Deduplication + Numeric Distribution 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, exact row deduplication check, and numeric distribution analysis for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Company filing inventories — Record quality audit + Exact row deduplication + Numeric distribution: Record quality audit + Exact row deduplication + Numeric distribution 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 flagging missing, malformed, or anomalous values; (2) an exact row deduplication report identifying identical records; and (3) a numeric distribution summary (e.g. min, max, mean, percentiles) for the selected numeric field (available_filings or expected_filings). All analysis is performed locally with no external lookups.
Example use cases
Filing inventory deduplication audit
“I've got a dataset of company filing records with row IDs, company groups, dates, and counts of available and expected filings — can you check it for exact duplicate rows and give me a quality audit and numeric distribution for the available_filings field? There are about 80 rows.”
Validate compliance filing completeness
“Before submitting our quarterly compliance report, can you run a record quality audit and numeric distribution analysis on our expected_filings data across all company groups? I'll provide up to 120 rows with row_id, date, company_group, available_filings, and expected_filings.”
Spot data anomalies in filing counts
“We pulled filing inventory records from our system — about 150 rows covering different company groups and dates — and I need a quality audit plus deduplication check and a numeric distribution breakdown on the expected_filings column to spot any anomalies before we process them.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-17-210?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need fast, offline data quality checks on company filing inventory records specifically — covering deduplication, quality auditing, and numeric distribution in a single $0.01 call for up to 200 rows. Prefer this over general-purpose data tools when your data schema matches available_filings and expected_filings fields and you need all three reports bundled together without external API calls or live lookups.
Side effects
- Empty or missing rows array returns validation error
- Rows exceeding 200 items are rejected
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Numeric values outside ±1,000,000,000,000 are rejected
- Missing required fields (row_id, date, company_group) cause per-row errors
- Invalid field enum value (not available_filings or expected_filings) causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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