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Account Research Coverage Analytics — Daily Sum Series + Two-Measure Correlation
x402
Account Research Coverage Analytics — Daily Sum Series + 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 2026-10-19).
Computes a daily sum time series and a two-measure Pearson/linear correlation between researched_accounts and target_accounts for supplied account research coverage data rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Account research coverage — Daily sum series + Two-measure correlation: Daily sum series + Two-measure correlation for supplied account research coverage records (researched_accounts, target_accounts). 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 analytical reports: (1) a daily sum time series aggregating the selected field (researched_accounts or target_accounts) by date, and (2) a two-measure correlation analysis between researched_accounts and target_accounts across the supplied rows. Reports are computed locally on the submitted data (up to 200 rows) with no external data lookups or predictions.
Example use cases
Sales team coverage trend analysis
“I have daily account research records for our sales teams across group-a and group-b for last month. Can you calculate the daily sum series for researched_accounts and also show me the correlation between researched_accounts and target_accounts across all those rows?”
Quarterly account targeting efficiency review
“We tracked target_accounts and researched_accounts daily for Q3 — here are 150 rows by company group and date. Can you run a daily sum series on target_accounts and a two-measure correlation between researched and target accounts so I can see how well we're converting research into targets?”
Company group coverage comparison
“I've got account coverage data split between group-a and group-b over a two-week period — 80 rows total with dates, researched_accounts, and target_accounts. Please give me a daily sum series for researched_accounts and the correlation between the two metrics so I can compare group performance.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-08-141?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of account research coverage data (with researched_accounts and target_accounts fields) and need two lightweight statistical reports — a daily sum time series and a cross-measure correlation — computed offline on your supplied data. Ideal when you want fast, deterministic analytics without external API calls, live data lookups, or expensive ML inference. Not suitable for real-time data streaming, more than 200 rows, or advanced predictive modeling.
Side effects
- Missing required fields (row_id, date, company_group, researched_accounts, or target_accounts) causes validation errors
- More than 200 rows submitted returns an error or truncated results
- Invalid date format (not YYYY-MM-DD) causes row rejection
- Null or non-numeric values in both measure columns may degrade correlation computation
- Empty rows array returns an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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