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Account Research Coverage — Numeric Row Ordering + IQR Outlier Flags
x402
Account Research Coverage — Numeric Row Ordering + 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 2026-10-15).
Ranks and IQR-flags up to 200 account research coverage records (researched_accounts or target_accounts) across two independent analytical reports using local statistical engines.
Price / call$0.01
Success—
StatusUnknown
How this service works
Account research coverage — Numeric row ordering + IQR outlier flags: Numeric row ordering + IQR outlier flags 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
Two independent analytical reports covering: (1) numeric row ordering of the specified field (researched_accounts or target_accounts) across up to 200 input rows, and (2) IQR-based outlier flags identifying statistically extreme values. Reports are generated locally with no external lookups or live data.
Example use cases
Pipeline coverage outlier review
“Here are 12 weeks of account research data across 3 company groups with researched_accounts and target_accounts per week — can you rank them by researched_accounts and flag which rows are IQR outliers so I can spot which weeks had unusually high or low coverage activity?”
Quarterly target account anomaly detection
“I've got 50 records of target_accounts counts by date and company group for Q3 — rank them numerically by target_accounts and flag the IQR outliers so my sales ops team can review the extremes before the quarterly review.”
Multi-group coverage benchmarking
“Can you take these 80 account research records across 5 company groups and sort them by researched_accounts while flagging any outliers using IQR? I want to see which groups are statistical extremes compared to the rest of the dataset.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-08-119?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 tabular account research coverage records and need both numeric row ordering and IQR-based outlier detection in a single call. It is ideal for sales operations or CRM analytics workflows where you supply your own data and need fast, local statistical analysis without any external lookups, predictions, or live data enrichment. At $0.01 USDC for two reports, it is cost-effective for lightweight statistical QA on coverage datasets.
Side effects
- Input array has fewer than 1 or more than 200 rows — validation error
- Missing required fields (row_id, company_group, date, researched_accounts, target_accounts) on any row — schema rejection
- Invalid date format (not YYYY-MM-DD) — pattern validation failure
- Field selector not one of 'researched_accounts' or 'target_accounts' — enum validation error
- All values null for the selected field — IQR computation undefined
- Payment not included or insufficient (requires 0.01 USDC via x402) — 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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