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Registry Snapshots — String Normalisation + Equal-Width Histogram
x402
Registry Snapshots — String Normalisation + 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).
Runs string normalisation and equal-width histogram analysis on up to 200 registry snapshot records (registered_entities or changed_entities field), returning two independent analytical reports per call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Registry snapshots — String normalisation + Equal-width histogram: String normalisation + 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) a string normalisation report cleaning text fields in the supplied registry snapshot rows, and (2) an equal-width histogram report with configurable bin count (1–30, default 5) showing frequency distribution of the chosen numeric field (registered_entities or changed_entities), all computed locally with no external lookups.
Example use cases
Registry entity count distribution analysis
“I have 120 rows of daily registry snapshots with company groups and registered entity counts — can you normalize the string fields and build a 10-bin equal-width histogram on the registered_entities column so I can see how the counts are distributed?”
Monitoring changed entities over time
“Here are 80 registry records tracking changed_entities across different company groups and dates. Can you run string normalization and a 5-bin histogram on the changed_entities field so I can spot patterns in the change volume?”
Data quality check on small registry batch
“I've got 30 registry snapshot rows with some messy string fields — please normalize the strings and produce an equal-width histogram with 8 bins for the registered_entities column so I can audit data quality and distribution.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-04-031?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both string cleaning and a frequency distribution histogram on registry snapshot data (registered_entities or changed_entities) in a single low-cost call. Ideal for batch analysis of up to 200 rows where no live lookup or external enrichment is needed and you want a quick statistical overview of entity count distributions alongside normalised text fields.
Side effects
- Exceeds 200-row limit — request will be rejected
- Missing required fields (row_id, company_group, date, registered_entities, changed_entities) — validation error
- Invalid date format (must be YYYY-MM-DD) — schema validation failure
- Numeric values out of allowed range (-1e12 to 1e12) — rejection
- bins parameter out of range (must be 1–30) — validation error
- All-null numeric field selected — histogram may be empty or degenerate
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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