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Account Research Coverage — Record Quality Audit + String Normalisation
x402
Account Research Coverage — Record Quality Audit + String Normalisation 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).
Audits record quality and normalises strings for account research coverage data (researched_accounts, target_accounts) across up to 200 rows, producing two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Account research coverage — Record quality audit + String normalisation: Record quality audit + String normalisation 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 identifying issues such as nulls, out-of-range values, duplicate row_ids, or malformed dates across researched_accounts and target_accounts fields; and (2) a string normalisation report standardising company_group and other string fields. No external lookups or predictions are made — all analysis uses local engines.
Example use cases
Pre-reporting data quality check
“Before I send my weekly account research report to the team, can you audit these 50 rows of researched_accounts and target_accounts data for quality issues and normalise the company_group strings? I want to catch any nulls, bad formats, or inconsistencies first.”
CRM export validation
“I just exported 120 rows of account coverage records from our CRM with columns for row_id, company_group, date, researched_accounts, and target_accounts — can you run a record quality audit and string normalisation on all of them so I know what needs fixing before we import it into our new system?”
Research pipeline audit
“Our research team tracks target and researched accounts across multiple company groups by date — I have 80 rows I'd like you to audit for record quality issues and normalise the company group name strings so everything is consistent.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-08-001?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a combined record quality audit AND string normalisation for account research coverage data specifically (researched_accounts, target_accounts fields) on up to 200 rows, at a fixed low cost of $0.01 USDC for both reports. Prefer this over generic data quality tools when your data already conforms to the expected schema (row_id, company_group, date, researched_accounts, target_accounts) and you want two complementary analytical reports in one call without live lookups or external enrichment.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, company_group, date, researched_accounts, target_accounts) cause row-level rejection
- Invalid date format (not YYYY-MM-DD) triggers a schema error
- Numeric values outside the allowed range (-1,000,000,000,000 to 1,000,000,000,000) are rejected
- Empty rows array (minItems:1 not met) returns an input error
- Payment failure (insufficient USDC balance) blocks processing
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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