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Company Filing Inventories — Adjacent Row Changes + Base-100 Series
x402
Company Filing Inventories — Adjacent Row Changes + 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 2026-10-16).
Computes adjacent row-to-row changes and a Base-100 indexed series for company filing inventory data (available_filings, expected_filings) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Company filing inventories — Adjacent row changes + Base-100 series: Adjacent row changes + 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
Returns two analytical reports per call: (1) an adjacent row change series showing the delta between consecutive rows for the selected field, and (2) a Base-100 normalized index series anchored at the specified base row — both computed locally from the supplied filing inventory data without any external lookups.
Example use cases
Track filing availability shifts over time
“I have a table of available_filings and expected_filings records for several company groups across the past quarter — can you compute how the available_filings changed row by row and also give me a Base-100 series starting from the first row?”
Normalize expected filings to benchmark index
“Take my expected_filings data for company groups A, B, and C across 50 daily rows and generate a Base-100 indexed series anchored at row 0, so I can compare how each group's filings have grown relative to their starting point.”
Audit filing count deltas for compliance review
“I need to spot sudden jumps or drops in available_filings for our regulated entities — can you run adjacent row changes on my 120-row dataset so I can flag any large swings between consecutive dates?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-17-155?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular company filing inventory records (available_filings, expected_filings) and need both a period-over-period delta series and a Base-100 normalized index in a single low-cost call. It is ideal for offline/supplied-data analysis without requiring any live data lookup, external API calls, or professional assessment — suitable for compliance audits, trend visualization prep, and inventory benchmarking workflows.
Side effects
- More than 200 rows supplied — request will be rejected or truncated
- Missing required fields (row_id, date, available_filings, expected_filings) cause validation errors
- Invalid date format (not YYYY-MM-DD) triggers schema validation failure
- base_index out of bounds (>= number of rows supplied) causes computation error
- Null values in the selected numeric field may produce incomplete or undefined change values
- Payment of 0.01 USDC not supplied results in 402 Payment Required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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