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Registry Snapshots — Adjacent Row Changes + Equal-Width Histogram
x402
Registry Snapshots — Adjacent Row Changes + Equal-Width Histogram is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).
Analyzes registry snapshot data by computing adjacent row changes and equal-width histogram distributions for registered_entities or changed_entities fields, returning two independent analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Registry snapshots — Adjacent row changes + Equal-width histogram: Adjacent row changes + Equal-width histogram 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 independent analytical reports: (1) an adjacent row changes report showing row-over-row deltas for the selected field across up to 200 input rows, and (2) an equal-width histogram report breaking the field's values into the specified number of bins with frequency counts, both computed locally without external lookups.
Example use cases
Row-over-row entity change audit
“I have daily registry snapshots for groups A and B from October 1–4, 2026, with registered_entities and changed_entities values — run adjacent row changes and a 10-bin histogram on the changed_entities field so I can see how entity changes shifted day over day.”
Distribution analysis of registered entities
“Here are 50 registry snapshot records for different company groups over the past quarter. Can you compute a 7-bin equal-width histogram on registered_entities and show me the adjacent row changes too?”
Spotting anomalies in entity registration volume
“I've got 150 registry snapshot rows tagged by company group and date. Please analyze adjacent row changes and produce an equal-width histogram with 5 bins for the registered_entities field so I can spot any unusual jumps.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-04-156?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have registry snapshot tabular data with registered_entities or changed_entities fields and need both a sequential delta analysis and a frequency distribution in one call, without requiring live data lookup, prediction, or external integrations. It is especially useful for compact datasets (up to 200 rows) where two lightweight analytical perspectives on a single numeric field are needed at minimal cost.
Side effects
- Missing required fields (row_id, date, company_group, registered_entities, changed_entities) cause validation errors
- More than 200 rows submitted exceeds the row limit
- Invalid date format (not YYYY-MM-DD) fails schema validation
- Bins value outside range 1–30 is rejected
- All null values in the target field may produce empty or degenerate histogram
- Payment of 0.01 USDC not included causes request rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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