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Registry Snapshots: String Normalisation + Secondary-Measure Weighted Mean
x402
Registry Snapshots: String Normalisation + Secondary-Measure Weighted Mean 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 string normalisation and secondary-measure weighted mean analytics on registry snapshot records (registered_entities, changed_entities) for up to 200 rows, producing two independent reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Registry snapshots — String normalisation + Secondary-measure weighted mean: String normalisation + Secondary-measure weighted mean 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 string normalisation output for the supplied registry snapshot rows and (2) a secondary-measure weighted mean computed over the chosen field (registered_entities or changed_entities), both derived entirely from the submitted data without any external lookup or prediction.
Example use cases
Weighted mean across company registry groups
“I have quarterly registry snapshots for three company groups and want to know the secondary-measure weighted mean for registered_entities — can you process these 12 rows and give me both the normalised strings and the weighted mean report?”
Normalising changed_entities in registry audit
“We're auditing our corporate registry and need string normalisation plus a weighted mean for the changed_entities field across 50 snapshot records covering different company groups and dates — can you run both reports at once?”
Comparing registry activity across date ranges
“I want to statistically summarise registry snapshot activity for group-a and group-b over October 2026 — please normalise the strings and compute the secondary-measure weighted mean on registered_entities for these 8 records.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-04-034?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have registry snapshot tabular data (up to 200 rows) and need both string normalisation and a secondary-measure weighted mean computed locally without any external data enrichment, live lookups, or professional assessments. Ideal for offline batch analytics on corporate registry datasets where two complementary statistical reports are needed in a single low-cost call.
Side effects
- More than 200 rows submitted — exceeds maxItems limit, request rejected
- Missing required fields (row_id, date, company_group, registered_entities, changed_entities) — validation error
- Date values not matching YYYY-MM-DD pattern — schema validation failure
- Numeric fields outside allowed range (±1,000,000,000,000) — validation error
- Invalid field enum value (not 'registered_entities' or 'changed_entities') — rejected
- Empty rows array (minItems: 1 not met) — validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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