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Business Directory Coverage — IQR Outlier Flags + Two-Measure Correlation
x402
Business Directory Coverage — IQR Outlier Flags + Two-Measure Correlation 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).
Runs IQR-based outlier detection and two-measure correlation analysis on supplied business directory coverage records (listed_entities, verified_entities) for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Business directory coverage — IQR outlier flags + Two-measure correlation: IQR outlier flags + Two-measure correlation 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 two independent analytical reports: (1) IQR outlier flags identifying which rows have anomalous values in the selected measure, and (2) a correlation report measuring the relationship between listed_entities and verified_entities across the supplied rows. No external data is fetched; analysis is performed locally on the submitted dataset.
Example use cases
Data quality audit for directory listings
“I have a dataset of daily business directory records for two company groups over the past quarter, with listed_entities and verified_entities columns. Can you flag any IQR outliers and check how correlated the two counts are across all rows?”
Detecting verification anomalies by group
“We track listed and verified entity counts by company group each day. Can you run the IQR outlier flagging on these 150 rows and also give me the correlation between listed_entities and verified_entities so I can spot where verification is falling behind?”
Monthly coverage health check
“Here's our monthly business directory coverage snapshot — about 80 rows, each with a date, a company_group, and the listed_entities and verified_entities figures. Please flag any statistical outliers using IQR and compute how tightly the two measures move together.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-14-176?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both IQR-based outlier detection and a correlation analysis on business directory coverage data (listed_entities and verified_entities) in a single low-cost call. It is ideal for data quality checks, anomaly detection pipelines, and coverage audits on datasets up to 200 rows where no live lookup or external enrichment is needed.
Side effects
- Fewer than 1 row submitted — request rejected
- More than 200 rows submitted — exceeds limit, request rejected
- Missing required fields (row_id, date, listed_entities, verified_entities) — validation error
- Date strings not matching YYYY-MM-DD pattern — schema validation failure
- All values null for a measure — correlation or IQR computation may return undefined/null result
- Malformed JSON body — parse error returned
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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