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Registry Snapshots — String Normalisation + IQR Outlier Flags
x402
Registry Snapshots — String Normalisation + 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).
Normalises string fields and flags IQR-based outliers in registry snapshot data (registered_entities, changed_entities) for up to 200 rows, producing two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Registry snapshots — String normalisation + IQR outlier flags: String normalisation + 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
Two independent analytical reports: one covering string normalisation of the supplied registry snapshot records and one flagging rows whose numeric values fall outside the IQR bounds for the selected field (registered_entities or changed_entities), based entirely on the supplied data with no live lookups or external calls.
Example use cases
Outlier detection in entity registration data
“I have daily registry snapshot records for three company groups from last quarter — can you flag any rows where the registered_entities count looks like an IQR outlier and also normalise the string fields? I'll supply up to 80 rows.”
Quality check on changed entities before reporting
“Before I submit our monthly compliance report, can you run string normalisation and IQR outlier flagging on the changed_entities field across these 120 registry snapshot rows so I can catch any anomalous values?”
Comparing group-level registration anomalies
“I've got registry snapshot data for groups A and B over the past six months — can you run the string normalisation and IQR outlier analysis on registered_entities for these 150 rows and give me both analytical reports?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-04-032?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have structured registry snapshot data with registered_entities or changed_entities counts and need both string normalisation and IQR-based outlier detection in a single low-cost call (up to 200 rows). It is ideal for pre-reporting quality checks, anomaly detection pipelines, or compliance data hygiene tasks where no live lookup, prediction, or external enrichment is needed.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, date, company_group) — validation error returned
- Date field not in YYYY-MM-DD format — schema validation failure
- Numeric values outside allowed range (±1,000,000,000,000) — schema rejection
- Empty rows array — minimum 1 item required
- Invalid field enum value — must be registered_entities or changed_entities
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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