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Account Research Coverage — Two-Measure Correlation + Secondary-Measure Weighted Mean
x402
Account Research Coverage — Two-Measure Correlation + 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 2026-10-19).
Computes Pearson correlation between researched_accounts and target_accounts, plus a weighted mean for a selected secondary measure, across up to 200 account research coverage records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Account research coverage — Two-measure correlation + Secondary-measure weighted mean: Two-measure correlation + Secondary-measure weighted mean 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 independent analytical reports: (1) a Pearson correlation coefficient measuring the linear relationship between researched_accounts and target_accounts across all supplied rows, and (2) a weighted mean for the selected secondary measure (researched_accounts or target_accounts). Results are computed locally on the supplied data with no external lookups or predictions.
Example use cases
Sales coverage gap correlation analysis
“I have weekly account research coverage numbers for two sales teams — can you compute the Pearson correlation between researched_accounts and target_accounts for these records, and also give me the weighted mean for target_accounts? Here are the rows: row-1 team-alpha 2026-01-05 researched=45 target=60, row-2 team-beta 2026-01-05 researched=30 target=50, row-3 team-alpha 2026-01-12 researched=55 target=65, row-4 team-beta 2026-01-12 researched=25 target=45.”
Monthly account penetration statistical summary
“Run the dual-report account coverage analysis on my monthly data — I want the correlation between researched and target accounts plus a weighted mean on researched_accounts. Data: row-1 region-east 2026-03-01 researched=120 target=200, row-2 region-west 2026-03-01 researched=90 target=150, row-3 region-east 2026-04-01 researched=135 target=210, row-4 region-west 2026-04-01 researched=100 target=160.”
Quarter-end account research benchmark check
“Can you analyze our Q4 account research coverage across all company groups and give me both the two-measure correlation and a weighted mean on target_accounts? Here are 5 records: row-1 group-a 2026-10-31 researched=300 target=400, row-2 group-b 2026-10-31 researched=250 target=380, row-3 group-c 2026-10-31 researched=410 target=500, row-4 group-a 2026-11-30 researched=320 target=420, row-5 group-b 2026-11-30 researched=270 target=390.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-08-181?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 account research coverage records and need exactly two statistical outputs — a correlation and a weighted mean — computed purely on your supplied data with no external API calls or enrichment. Ideal for sales ops teams doing fast in-place analytics on researched vs target account counts without needing a full BI platform.
Side effects
- Fewer than 1 row supplied — minimum 1 row required
- More than 200 rows supplied — maxItems limit exceeded
- Missing required fields (row_id, company_group, date, researched_accounts, target_accounts) cause validation errors
- Invalid date format (must be YYYY-MM-DD pattern)
- Null values for both measures in a row may reduce statistical validity
- field enum value not matching 'researched_accounts' or 'target_accounts' causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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