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Account Research Coverage — Record Quality Audit & Keyed Dataset Comparison
x402
Account Research Coverage — Record Quality Audit & Keyed Dataset Comparison 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 compares two keyed datasets of account research coverage metrics (researched_accounts vs target_accounts) for 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 + Keyed dataset comparison: Record quality audit + Keyed dataset comparison 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: (1) a record quality audit flagging issues such as nulls, out-of-range values, and formatting problems in the supplied rows; (2) a keyed dataset comparison identifying differences between the 'rows' and 'other' datasets matched by row_id, company_group, and date — all computed locally with no external lookups.
Example use cases
Sales coverage gap detection
“I have two snapshots of our account research data with fields for company_group, date, researched_accounts, and target_accounts — can you run a record quality audit and compare the two datasets to find any gaps or discrepancies between them?”
Data quality check before CRM import
“Before I import this account research coverage data into our CRM, can you audit the record quality and flag any nulls, out-of-range values, or inconsistencies across the rows? I have about 80 records with company groups and dates.”
Weekly account research progress comparison
“I have this week's and last week's account research coverage exports — each has researched_accounts and target_accounts by company group and date. Can you compare the two datasets and produce a quality audit report highlighting what changed or looks off?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-08-018?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need offline, privacy-safe analytical reports on account research coverage data without any external lookups or predictions. Ideal for auditing data quality before CRM imports, comparing two versions of account tracking datasets, or validating research coverage metrics by company group and date. Best suited for batch sizes up to 200 rows where two simultaneous report types (quality audit + dataset comparison) are needed in a single call at minimal cost.
Side effects
- Exceeding 200 rows per array returns a validation error
- Missing required fields (row_id, company_group, date, researched_accounts, target_accounts) causes row-level rejection
- Malformed date strings not matching YYYY-MM-DD pattern trigger schema validation failure
- Numeric values outside ±1,000,000,000,000 are rejected
- Empty rows array (minItems: 1 not met) returns an input validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| other | array |
Tags
x402
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