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Company Filing Inventories — String Normalisation + Base-100 Series
x402
Company Filing Inventories — String Normalisation + Base-100 Series 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).
Normalises string fields and computes Base-100 index series for up to 200 rows of company filing inventory data (available_filings, expected_filings) using local analytical engines.
Price / call$0.01
Success—
StatusUnknown
How this service works
Company filing inventories — String normalisation + Base-100 series: String normalisation + Base-100 series 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: (1) normalised string output for the supplied company_group and date fields, and (2) a Base-100 index series for the selected numeric field (available_filings or expected_filings) anchored to the specified base_index row — all computed locally for up to 200 input rows with no external lookups.
Example use cases
Quarterly filing compliance trend indexing
“I have monthly filing inventory records for two company groups across Q4 2026 — can you run Base-100 indexing starting from October 1st on the available_filings field and normalise all the string fields? Here are my rows: group-a on 2026-10-01 with available=10, expected=1; group-b on 2026-10-02 with available=20, expected=2; group-a on 2026-10-03 with available=15, expected=3.”
Expected vs available filings gap analysis
“Please run string normalisation and a Base-100 series on my filing inventory dataset — I want to index expected_filings starting from row index 0. My data has 5 rows across group-alpha and group-beta from 2026-01-01 to 2026-01-05, with expected filings ranging from 5 to 25 and available filings from 3 to 22.”
Multi-group filing inventory benchmarking
“I need to benchmark filing inventory levels across three company groups using a Base-100 index. Can you normalise the strings and compute the index series for available_filings with base at row 2? I'll supply 12 rows of data covering group-x, group-y, and group-z from March through June 2026.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-17-030?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular company filing inventory data (available_filings, expected_filings) and need both string normalisation and a Base-100 index series computed in one call for up to 200 rows. It is ideal for offline or batch analytical workflows where no live data lookup, prediction, or external data enrichment is needed — just clean, indexed output from your supplied records. At $0.01 USDC for two reports, it is cost-effective for routine compliance or inventory benchmarking tasks.
Side effects
- Fewer than 1 or more than 200 rows supplied — request rejected
- Missing required fields (row_id, company_group, date, available_filings, expected_filings) on any row — validation error
- base_index out of range (0–199) or exceeding the number of supplied rows — error
- Date strings not matching YYYY-MM-DD format — schema validation failure
- Numeric values outside allowed range (±1,000,000,000,000) — rejection
- All numeric values for selected field are null — Base-100 series cannot be computed
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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