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Account Research Coverage — IQR Outlier Flags + Two-Measure Correlation
x402
Account Research 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 2026-10-15).
Runs IQR-based outlier detection and two-measure correlation analysis on supplied account research coverage data (researched_accounts vs target_accounts) for up to 200 rows, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Account research coverage — IQR outlier flags + Two-measure correlation: IQR outlier flags + 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 independent reports: (1) IQR outlier flags identifying which rows have statistically anomalous values for the selected measure, and (2) a two-measure correlation report quantifying the relationship between researched_accounts and target_accounts across the supplied rows. No external lookups or predictions are made — all analysis uses locally supplied data only.
Example use cases
Sales pipeline coverage anomaly detection
“I've got monthly account research coverage data for 4 company groups over the past quarter — can you flag any rows where researched_accounts looks like an IQR outlier, and also show me how researched_accounts correlates with target_accounts across all rows?”
B2B research effort audit by group
“Our ops team wants to audit account research coverage across our business units. I have 120 rows of daily records with company_group, researched_accounts, and target_accounts — please run outlier flags and a two-measure correlation report so we can spot which groups are over- or under-researching.”
CRM data quality check for research metrics
“Before we import this account research data into our CRM, can you check whether any of the researched_accounts or target_accounts values are IQR outliers, and give me the correlation between the two measures across our 80 records?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-08-176?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular account research coverage records and need both IQR-based outlier detection and a two-measure correlation in a single low-cost call. It is ideal for pre-import data quality checks, CRM audits, or sales ops reviews where you want statistically grounded flags without setting up a full analytics stack. Prefer this over general-purpose analytics tools when your data fits the specific researched_accounts/target_accounts schema and you want both reports for a fixed 0.01 USDC fee.
Side effects
- Fewer than 1 row supplied — minimum row count not met
- More than 200 rows supplied — exceeds maximum batch size
- Missing required fields (row_id, company_group, date, researched_accounts, or target_accounts) cause validation errors
- Invalid date format (not YYYY-MM-DD) triggers schema rejection
- Null values in both measure columns reduce effective sample size for correlation
- Insufficient variance in data may yield trivial or undefined correlation
- Payment not completed — x402 micropayment of 0.01 USDC required per call
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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