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Account Research Coverage — Record Quality Audit + Numeric Distribution
x402
Account Research Coverage — Record Quality Audit + Numeric Distribution 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 two local analytical reports (record quality audit and numeric distribution) on up to 200 rows of account research coverage data, analyzing researched_accounts and target_accounts fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Account research coverage — Record quality audit + Numeric distribution: Record quality audit + Numeric distribution 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 for the supplied rows: (1) a record quality audit flagging issues such as missing values, malformed dates, and out-of-range numerics across the researched_accounts and target_accounts fields; and (2) a numeric distribution summary for the selected field (researched_accounts or target_accounts), including statistical spread metrics. No external lookups or predictions are made — all analysis is performed locally on the supplied data.
Example use cases
Pre-CRM load data quality check
“Before we import our account research records into the CRM, can you run a quality audit and numeric distribution report on these 150 rows of coverage data? Each row has a row_id, company_group, date, researched_accounts, and target_accounts — I want to catch any bad records first.”
Sales team coverage gap analysis
“I have 80 rows of account research coverage broken out by company group and date. Can you audit the record quality and show me the numeric distribution of target_accounts across those rows so I can see where our coverage is thin?”
Weekly research pipeline review
“Run a record quality audit and numeric distribution check on this week's account research coverage data — 60 rows with company group, date, researched_accounts and target_accounts — and focus the distribution report on the researched_accounts field so I can see how evenly we're spreading research effort.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-08-004?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, low-cost ($0.01 USDC) offline quality audit and numeric distribution profile of account research coverage records without any live data enrichment or external lookups. It is ideal for pre-import validation of CRM or sales data pipelines, or for routine data health checks on batches of up to 200 account coverage rows. Not suitable when you need live account data enrichment, predictive scoring, or analysis of fields beyond researched_accounts and target_accounts.
Side effects
- Fewer than 1 row supplied — request rejected
- More than 200 rows supplied — exceeds row limit
- Missing required fields (row_id, date, company_group, researched_accounts, target_accounts) — validation error
- Date values not matching YYYY-MM-DD pattern — schema rejection
- Numeric values outside allowed range (±1 trillion) — schema rejection
- Invalid field enum value (must be researched_accounts or target_accounts) — schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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