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Company Filing Inventories — String Normalisation + Secondary-Measure Weighted Mean
x402
Company Filing Inventories — String Normalisation + Secondary-Measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-29).
Normalises string fields and computes a secondary-measure weighted mean for company filing inventory records (available_filings, expected_filings) across up to 200 rows, producing 2 analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Company filing inventories — String normalisation + Secondary-measure weighted mean: String normalisation + Secondary-measure weighted mean 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
Two analytical reports per call: (1) string-normalised versions of the supplied company filing inventory records, and (2) a secondary-measure weighted mean computed over the selected field (available_filings or expected_filings) across up to 200 input rows, grouped by company context. No external data is fetched; all computation is local.
Example use cases
Filing completeness weighted average by group
“I have a batch of 20 company filing records with available_filings and expected_filings per date and group — can you normalise the strings and compute a secondary-measure weighted mean on available_filings so I can see which groups are most complete?”
Compliance inventory data cleaning
“Take these 50 rows of company filing inventory data — each has a row_id, company_group, date, available_filings, and expected_filings — normalise the text fields and give me the weighted mean report for expected_filings.”
Monthly filing inventory trend aggregation
“I've got 100 rows of monthly company filing inventory entries across several groups. Please run the string normalisation and weighted mean analysis on the available_filings field and return both reports.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-17-034?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of company filing inventory data and need both string normalisation and a secondary-measure weighted mean in a single call at minimal cost ($0.01 USDC for 2 reports). It is best suited for offline/batch analytical workflows where no live data lookup, prediction, or external action is needed — just local computation on supplied records.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, date, available_filings, expected_filings) cause validation errors
- Invalid date format (must match YYYY-MM-DD pattern) triggers schema rejection
- Null values in both available_filings and expected_filings may produce undefined weighted mean
- Invalid field enum value (not available_filings or expected_filings) causes request failure
- Payment of 0.01 USDC not included or declined — endpoint returns 402
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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