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Account Research Coverage Data Quality Suite
x402
Account Research Coverage Data Quality Suite 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 three analytical reports — record quality audit, exact row deduplication, and numeric distribution — on account research coverage data (researched_accounts, target_accounts) for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Account research coverage — Record quality audit + Exact row deduplication + Numeric distribution: Record quality audit + Exact row deduplication + Numeric distribution for supplied account research coverage records (researched_accounts, target_accounts). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Returns three independent analytical reports: (1) a record quality audit flagging missing, null, or malformed values per row; (2) an exact row deduplication report identifying identical records; and (3) a numeric distribution summary (e.g. min, max, mean, percentiles) for the selected field (researched_accounts or target_accounts). All analysis is performed locally on the submitted data with no external lookups.
Example use cases
Pre-import data quality gate
“Before I load these 150 account research coverage rows into our CRM, can you run a record quality audit and deduplication check on them so I can catch any bad or duplicate records first? I want to check the researched_accounts field specifically.”
Investigating skewed coverage metrics
“Our target_accounts numbers look off in the dashboard — can you pull the numeric distribution report for this batch of account coverage data so I can see if there are outliers or an unusual spread across company groups?”
Reconciling research team output
“I got account research coverage exports from three company groups and I need to know if there are any duplicate rows across them and whether the record quality holds up — can you run all three reports on these 80 rows and focus the numeric analysis on target_accounts?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-08-210?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, cheap ($0.01 USDC), offline data quality check on account research coverage data specifically — covering quality auditing, deduplication, and numeric profiling in one call. Ideal as a pre-import validation step or periodic data hygiene check for sales ops teams working with researched_accounts and target_accounts metrics. Prefer alternatives if you need live data enrichment, external account lookups, or predictive scoring.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, company_group, date, researched_accounts, target_accounts) causes schema rejection
- Invalid date format (non-YYYY-MM-DD) fails pattern validation
- Numeric values outside ±1,000,000,000,000 are rejected
- Empty rows array returns a minItems validation error
- Invalid field enum value (not researched_accounts or target_accounts) causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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