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Registry Snapshots — String Normalisation + Date by Category Pivot
x402
Registry Snapshots — String Normalisation + Date by Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-02).
Performs string normalisation and date-by-category pivot analysis on up to 200 rows of registry snapshot records (registered_entities and changed_entities fields), returning two analytical reports per call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Registry snapshots — String normalisation + Date by category pivot: String normalisation + Date by category pivot for supplied registry snapshots records (registered_entities, changed_entities). 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 independent analytical reports: (1) a string normalisation report cleaning and standardising company_group labels across the supplied rows, and (2) a date-by-category pivot report aggregating the selected numeric field (registered_entities or changed_entities) by date and company_group category. No external lookups are performed; all computation is local and analytical.
Example use cases
Registry entity change tracking by group
“I have 80 rows of registry snapshot data with dates, company group names, and changed_entities counts — can you normalise the string fields and pivot the changed_entities values by company group and date so I can see how each group changed over time?”
Quarterly registered entity summary
“I've got a set of registry records for Q4 2026 with registered_entities and company_group columns, about 150 rows — run string normalisation on the group names and give me a date-by-category pivot for the registered_entities field.”
Data quality cleanup for registry export
“Our registry export has messy company group labels and I need two reports: normalised string values and a pivot of registered entity counts by date and category — there are about 120 rows, can you process the registered_entities field?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-04-035?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of registry snapshot data with company group labels and entity counts, and you need both string normalisation and a date-by-category pivot in a single low-cost call ($0.01 USDC for both reports). It is ideal for offline/batch analytical use cases where no live lookup, prediction, or external data enrichment is required — all processing is local and deterministic.
Side effects
- Exceeds 200-row limit — request rejected, caller must batch input
- Invalid date format (not YYYY-MM-DD) — schema validation error
- Missing required fields (row_id, company_group, date) — validation failure
- Null numeric values in both registered_entities and changed_entities — sparse or empty pivot output
- Invalid field enum value — schema rejection
- Empty rows array — minItems:1 constraint violated
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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