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Business Directory Coverage — Base-100 Series + IQR Outlier Flags
x402
Business Directory Coverage — Base-100 Series + 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 2026-10-16).
Computes Base-100 index series and IQR-based outlier flags for business directory coverage metrics (listed_entities, verified_entities) across up to 200 supplied rows, delivering two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Business directory coverage — Base-100 series + IQR outlier flags: Base-100 series + IQR outlier flags 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 for up to 200 supplied rows: (1) a Base-100 index series showing relative values of the selected metric normalized to the specified base row, and (2) IQR-based outlier flags identifying which rows fall outside the interquartile range. Reports are computed entirely from supplied data using local analytical engines with no external lookups.
Example use cases
Monthly directory coverage trend indexing
“I have 30 days of business directory data for three company groups with daily listed_entities and verified_entities counts — can you build a base-100 index series anchored to the first row and flag any IQR outliers in listed_entities?”
Spike detection in verified entity counts
“Run an IQR outlier analysis on my verified_entities field across these 50 business directory coverage rows grouped by company, using row 0 as the base index, and tell me which dates look anomalous.”
Multi-group coverage benchmarking
“I want to benchmark directory coverage across our four company groups over Q3 — here are 120 rows with listed_entities and verified_entities by date. Give me the base-100 series starting from row 0 and highlight any outliers using IQR for the listed_entities field.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-14-164?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected business directory coverage data (listed_entities and/or verified_entities) and need both time-series normalization (Base-100 indexing) and statistical outlier detection (IQR flags) in a single call. Ideal for batch analysis of up to 200 rows without needing live data lookups or external enrichment. Prefer over general statistics APIs when your domain is specifically business directory coverage metrics and you need both reports delivered together at low cost.
Side effects
- Missing required fields (row_id, date, company_group, listed_entities, verified_entities) cause validation errors
- Date strings not matching YYYY-MM-DD pattern are rejected
- More than 200 rows submitted exceeds the maxItems limit
- base_index referencing a non-existent row position causes an error
- All null values for the selected metric field may produce empty or degenerate output
- Payment failure (insufficient USDC) blocks processing
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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