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Business Directory Coverage — String Normalisation + Secondary-Measure Weighted Mean
x402
Business Directory Coverage — 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 2026-10-16).
Normalises strings and computes a secondary-measure weighted mean over business directory coverage records (listed_entities, verified_entities) for up to 200 rows, returning 2 independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Business directory coverage — String normalisation + Secondary-measure weighted mean: String normalisation + Secondary-measure weighted mean for supplied business directory coverage records (listed_entities, verified_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 2 independent analytical reports covering: (1) normalised string representations of the input business directory coverage rows, and (2) a secondary-measure weighted mean computed over the specified field (listed_entities or verified_entities), all processed locally without external lookups or live data.
Example use cases
Directory coverage audit for two regions
“I have business directory records for two company groups over the past week — each row has listed_entities and verified_entities counts. Can you normalise the strings and compute a weighted mean on the listed_entities field so I can compare coverage quality between the groups?”
Verifying entity coverage trends over time
“I want to understand how verified_entities relate to listed_entities in our directory across 10 company groups over the last month — can you run string normalisation and produce a secondary-measure weighted mean report on the verified_entities field for up to 200 rows?”
Cleaning and summarising partner directory data
“We've got messy directory coverage data from several partner companies with listed and verified entity counts by date. Can you normalise the strings in these rows and give me a weighted mean summary for the listed_entities field across all company groups?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-14-034?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both string normalisation and a secondary-measure weighted mean on business directory coverage data (listed_entities, verified_entities) in a single low-cost call. It is ideal for small-to-medium batches (up to 200 rows) where no live lookup, external enrichment, or prediction is required — just local analytical computation on supplied data.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, company_group, date, listed_entities, verified_entities) cause validation errors
- Dates not matching YYYY-MM-DD pattern result in schema validation failure
- Null values in both measure fields may produce undefined weighted mean output
- Invalid enum value for field parameter causes request rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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