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Account Research Coverage — Record Quality Audit + Exact Row Deduplication + Duplicate Key Report
x402
Account Research Coverage — Record Quality Audit + Exact Row Deduplication + Duplicate Key Report is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-19).
Audits record quality, deduplicates exact rows, and reports duplicate keys for account research coverage data (researched_accounts, target_accounts) in a single API call producing three independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Account research coverage — Record quality audit + Exact row deduplication + Duplicate key report: Record quality audit + Exact row deduplication + Duplicate key report 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 reports: (1) a record quality audit identifying null values, malformed dates, out-of-range numbers, and other data quality issues per row; (2) an exact row deduplication report listing which rows are exact duplicates and which are retained; (3) a duplicate key report identifying row_ids that appear more than once. All analysis is performed locally with no external lookups. Up to 200 input rows are supported.
Example use cases
Pre-import data quality check
“Before I load this quarter's account research coverage into our CRM, can you run a quality audit on these records and flag any exact duplicate rows or duplicate keys? I've got 40 rows across company groups alpha, beta, and gamma from 2026-07-01 to 2026-09-30.”
Sales ops deduplication for coverage report
“Our sales ops team exported a CSV of researched_accounts and target_accounts by company group — can you deduplicate any exact duplicate rows and generate a duplicate key report so we know which row_ids are colliding? There are about 120 rows from the last 6 months.”
Spotting bad data in account targeting
“I think our account targeting dataset has some data quality problems — null values, bad dates, and possibly repeated rows. Can you run a record quality audit plus exact row deduplication on these 80 rows for our group-a and group-b segments from October 2026?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-08-209?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three simultaneous data quality reports — record quality audit, exact row deduplication, and duplicate key detection — bundled for account research coverage data (researched_accounts and target_accounts fields) at a fixed low cost. Prefer it over single-report endpoints when you want to audit, deduplicate, and check key uniqueness in one call rather than three. It is best suited for batch validation of up to 200 rows before importing into CRM, BI, or sales coverage systems. It does not perform live lookups, enrichment, or predictions.
Side effects
- Exceeding 200 rows causes a validation error
- Missing required fields (row_id, company_group, date, researched_accounts, target_accounts) cause schema validation failure
- Malformed date strings not matching YYYY-MM-DD pattern are rejected
- Numeric values outside ±1,000,000,000,000 fail schema validation
- Empty rows array is rejected (minItems: 1)
- Insufficient payment (requires 0.01 USDC via x402) results in payment error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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