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Registry Snapshots Base-100 Series and IQR Outlier Flags
x402
Registry Snapshots Base-100 Series and 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 Base-100 indexed time series and IQR-based outlier flags for registry snapshot data (registered_entities, changed_entities) across up to 200 rows in two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Registry snapshots — Base-100 series + IQR outlier flags: Base-100 series + 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) a Base-100 indexed time series normalizing the selected field relative to the specified base row, and (2) IQR-based outlier flags identifying rows whose values fall outside the interquartile range. Both reports cover the same supplied rows (up to 200) and are computed locally without external data lookups.
Example use cases
Monthly registry anomaly detection
“I have 50 rows of monthly company registry snapshots with registered_entities counts across two groups from 2024-01-01 through 2024-12-31 — can you run a Base-100 series indexed at row 0 and flag any IQR outliers in the registered_entities field?”
Changed entities trend normalization
“Here are 120 rows of daily registry snapshots with changed_entities values for group-a and group-b — normalize them to a Base-100 index starting at row 10 and tell me which rows are flagged as IQR outliers for the changed_entities field.”
Cross-group registry baseline comparison
“I want to compare how registered_entities evolved across company groups in my registry data — run the Base-100 indexing from row 0 and give me IQR outlier flags so I can see which groups had abnormal registration spikes, using these 80 rows.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-04-164?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have already collected registry snapshot data (registered_entities or changed_entities counts by company group and date) and need fast, offline statistical analysis — specifically Base-100 normalization and IQR outlier detection — without requiring live data lookup, external enrichment, or predictive modeling. It is ideal when you want two analytical reports (one for each metric) in a single cheap call ($0.01 USDC) on up to 200 rows.
Side effects
- Missing required fields (row_id, company_group, date, registered_entities, changed_entities) causes validation error
- Exceeding 200 rows returns an error or truncation
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- base_index referencing a row index beyond the array length causes computation failure
- Null values in the chosen field may affect IQR and base-100 calculations
- Payment failure (insufficient USDC) blocks the request entirely
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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