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Registry Snapshots — Category Frequencies + IQR Outlier Flags
x402
Registry Snapshots — Category Frequencies + IQR Outlier Flags 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).
Computes category-level frequency distributions and IQR-based outlier flags for registered_entities and changed_entities fields across up to 200 registry snapshot rows, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Registry snapshots — Category frequencies + IQR outlier flags: Category frequencies + IQR outlier flags 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) category frequency counts showing how often each company_group value appears in the supplied rows, and (2) IQR-based outlier flags identifying which rows have registered_entities or changed_entities values that fall outside the interquartile range threshold. Reports cover up to 200 input rows and use only the supplied data with no external lookups.
Example use cases
Outlier detection in entity registration data
“I have a dataset of 50 daily registry snapshots for our portfolio companies — can you analyze the registered_entities field, compute how frequently each company_group appears, and flag any rows with outlier values based on IQR?”
Monthly registry audit by company group
“We have 120 rows of monthly registry records across 6 company groups with dates and changed_entities counts — please give me the category frequency breakdown and highlight any changed_entities values that look like statistical outliers.”
Spot unusual changes in entity counts
“Here's a snapshot table with row IDs, dates, company groups, and both registered and changed entity counts for our compliance review — can you run category frequency analysis and IQR outlier flagging on the changed_entities field so I can spot anything abnormal?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-04-107?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular registry snapshot data grouped by company category and need both a frequency distribution of those categories and statistical outlier detection (IQR-based) on entity count fields — all in a single $0.01 call covering up to 200 rows with no external data dependencies. Prefer it over general statistical APIs when your data matches the registered_entities/changed_entities schema and you need two reports simultaneously.
Side effects
- Input array exceeds 200 rows — request will be rejected
- Missing required fields (row_id, company_group, date, registered_entities, changed_entities) cause validation errors
- Invalid date format (not YYYY-MM-DD) triggers schema rejection
- All null values in the target numeric field may prevent IQR computation
- Empty rows array returns an error
- Numeric values outside allowed range (±1,000,000,000,000) are rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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