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Account Research Coverage — Record Quality Audit + Exact Row Deduplication + Numeric Row Ordering
x402
Account Research Coverage — Record Quality Audit + Exact Row Deduplication + Numeric Row Ordering 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).
Runs three independent local analytical reports (record quality audit, exact row deduplication, and numeric row ordering) on up to 200 account research coverage records containing researched_accounts and target_accounts metrics.
Price / call$0.01
Success—
StatusUnknown
How this service works
Account research coverage — Record quality audit + Exact row deduplication + Numeric row ordering: Record quality audit + Exact row deduplication + Numeric row ordering 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 report sections: (1) a record quality audit identifying nulls, format violations, and completeness issues per row; (2) an exact row deduplication report flagging identical records; (3) a numeric row ordering report ranking rows by the selected field (researched_accounts or target_accounts). No external data is fetched; all analysis is performed on the supplied rows only.
Example use cases
Pre-reporting deduplication of CRM coverage data
“I have a batch of 80 account research records from our CRM with row IDs, company groups, dates, and counts for researched_accounts and target_accounts — can you find any exact duplicate rows, flag data quality issues, and sort them by target_accounts before we push to the quarterly report?”
Data quality audit before sales territory review
“Before our sales territory review meeting, can you audit these 150 company account coverage rows for record quality problems, identify any duplicates, and order them numerically by researched_accounts so we can spot gaps?”
Sanity check on newly ingested account research data
“We just ingested a new batch of 45 account research coverage records — each has a row_id, company_group, date, researched_accounts, and target_accounts. Can you run all three checks: quality audit, exact dedup, and numeric ordering by target_accounts?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-08-213?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three bundled data-quality operations (quality audit, deduplication, and numeric ordering) on account research coverage data in a single low-cost call. It is ideal for pre-processing CRM or sales intelligence datasets before reporting or analysis, when no live lookup, prediction, or external enrichment is needed — purely local, deterministic computation on your supplied rows.
Side effects
- Fewer than 1 or more than 200 rows submitted — validation error
- row_id missing or empty — schema validation failure
- date field does not match YYYY-MM-DD format — pattern validation error
- numeric fields exceed allowed range (±1,000,000,000,000) — schema rejection
- Invalid field enum value (not researched_accounts or target_accounts) — rejection
- Malformed JSON body — request error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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