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Business Directory Coverage — Trailing Mean Series + Date by Category Pivot
x402
Business Directory Coverage — Trailing Mean Series + Date by Category Pivot 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 a trailing moving average time series and a date-by-category pivot table for business directory coverage data (listed_entities, verified_entities) supplied by the caller.
Price / call$0.01
Success—
StatusUnknown
How this service works
Business directory coverage — Trailing mean series + Date by category pivot: Trailing mean series + Date by category pivot 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
Two independent analytical reports: (1) a trailing moving average time series computed over the specified window for the chosen field (listed_entities or verified_entities), and (2) a date-by-category pivot table grouping the same data by date and company_group. Both reports are derived locally from the caller-supplied rows with no external data lookups.
Example use cases
Monthly directory coverage trend analysis
“I have business directory records for two company groups over the past 30 days with listed_entities and verified_entities counts per day. Can you compute a trailing mean with a window of 7 and also pivot the data by date and group so I can see coverage trends for verified_entities?”
Comparing listed vs verified across categories
“I've got 50 rows of business directory data with dates, company groups, and both listed_entities and verified_entities counts. Run a rolling average window of 5 on listed_entities and pivot the results by date and category so I can compare how different groups are performing.”
Weekly directory audit for two business segments
“I need to analyze my directory coverage for 'segment-east' and 'segment-west' over the last two weeks — give me a trailing mean series with window size 3 and a date-by-category pivot for the listed_entities field across all 14 rows.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-14-152?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected business directory coverage records (listed_entities, verified_entities) and need both a rolling/trailing mean time series AND a date-by-category pivot in a single low-cost call. Ideal for offline or batch analytics on up to 200 rows of caller-supplied data where no live data lookup, prediction, or external enrichment is needed. At $0.01 USDC for two reports simultaneously, it is cost-effective for recurring directory coverage audits.
Side effects
- Fewer than 1 row supplied — request rejected
- More than 200 rows supplied — exceeds maximum limit
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Window size larger than number of rows — trailing mean may be undefined or partially computed
- Missing required fields (row_id, company_group, date) — validation error
- Non-numeric or out-of-range values for listed_entities or verified_entities — rejected by schema
- Invalid field enum value — must be 'listed_entities' or 'verified_entities'
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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