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Registry Snapshots — Adjacent Row Changes + Date by Category Pivot
x402
Registry Snapshots — Adjacent Row Changes + 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 2026-10-15).
Runs two analytical reports on supplied registry snapshot data: adjacent row-to-row change detection and a date-by-category pivot table, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Registry snapshots — Adjacent row changes + Date by category pivot: Adjacent row changes + 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
Two analytical reports: (1) an adjacent row changes table showing numeric deltas between consecutive rows for the selected field, and (2) a date-by-category pivot table breaking down values by date and company_group — both derived from the supplied registry snapshot rows without any external lookups.
Example use cases
Track entity registration trends by company group
“I've got daily registry snapshots for group-a and group-b over the past month — each row has a date, registered_entities, and changed_entities. Can you pivot the registered_entities values by date and company group, and also show me the adjacent row changes?”
Audit sequential changes in changed_entities
“Here are 50 rows of registry snapshot records with row IDs, dates, company groups, and changed_entities numbers. Run the adjacent row change detection on changed_entities so I can see how values shifted from one row to the next.”
Summarize registry snapshot dataset for compliance review
“I have up to 150 registry snapshot records across several company groups and dates. Please give me both the adjacent row changes analysis and the date-by-category pivot on registered_entities so I can review the compliance picture.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-04-160?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two specific local analytical computations — adjacent row change detection and a date-by-category pivot — on registry snapshot data (registered/changed entity counts by company group and date) without any external data lookups, live data, or predictions. It is cost-effective at $0.01 USDC for both reports on up to 200 rows and ideal for batch analytical workflows on pre-collected registry data.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, date, company_group) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Null or out-of-range numeric values for registered_entities or changed_entities — potential computation error
- Invalid field enum value (must be 'registered_entities' or 'changed_entities') — schema error
- Empty rows array — minimum 1 item required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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