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Account Research Coverage Analyzer — Record Quality Audit, String Normalisation & Adjacent Row Changes
x402
Account Research Coverage Analyzer — Record Quality Audit, String Normalisation & Adjacent Row Changes is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-16).
Runs three local analytical reports (record quality audit, string normalisation, and adjacent row changes) on up to 200 rows of account research coverage data containing researched_accounts and target_accounts fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Account research coverage — Record quality audit + String normalisation + Adjacent row changes: Record quality audit + String normalisation + Adjacent row changes 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
Three independent analytical reports delivered together: (1) a record quality audit flagging missing, null, or out-of-range values in the supplied rows; (2) a string normalisation report identifying formatting inconsistencies in text fields like company_group; and (3) an adjacent row changes report showing period-over-period differences in the selected numeric field (researched_accounts or target_accounts). All analysis is performed locally with no external lookups.
Example use cases
Sales data quality audit before CRM import
“Before we import this account research spreadsheet into the CRM, can you run a record quality audit, string normalisation check, and adjacent row change analysis on these 150 rows of researched_accounts and target_accounts data grouped by company_group and date?”
Detecting sudden drops in researched account counts
“I want to spot any big jumps or drops between consecutive rows in our researched_accounts figures — can you run the adjacent row changes report on this dataset covering group-a and group-b from October 2026?”
Cleaning up inconsistent company group name formatting
“Our company_group strings look messy — some are capitalised differently or have extra spaces. Can you run the string normalisation report on these 80 rows of account research coverage data so I know what needs fixing?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-08-200?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need all three analytical perspectives — data quality, string normalisation, and sequential change detection — on account research coverage records in a single low-cost call. It is ideal for pre-import validation, periodic data hygiene checks, or diagnosing issues in sales or CRM datasets. It does not perform live lookups, predictions, or external enrichment, so prefer it when you want purely local, deterministic analysis of supplied data rather than external intelligence.
Side effects
- Rows array empty or missing — returns validation error
- More than 200 rows supplied — exceeds maxItems limit
- Invalid date format (not YYYY-MM-DD) — schema pattern mismatch
- row_id missing or blank — required field violation
- Numeric values outside ±1,000,000,000,000 range — schema validation failure
- Invalid field enum value (not researched_accounts or target_accounts) — rejected
- Payment of 0.01 USDC not completed — 402 Payment Required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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