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Business Directory Coverage — String Normalisation + Duplicate Key Report
x402
Business Directory Coverage — String Normalisation + 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 2026-10-16).
Runs string normalisation and duplicate key detection on business directory coverage records (listed_entities, verified_entities) for up to 200 rows, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Business directory coverage — String normalisation + Duplicate key report: String normalisation + Duplicate key report for supplied business directory coverage records (listed_entities, verified_entities). 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 submitted rows: (1) a string normalisation report identifying inconsistencies in string fields such as company_group names, and (2) a duplicate key report flagging rows with repeated row_id or company_group/date combinations. No external lookups or predictions are made — all analysis is performed locally on the supplied data.
Example use cases
Audit directory import for duplicates
“I just exported our business directory coverage data for October — can you check it for duplicate row IDs or company group keys and also normalise any inconsistent string formatting? I have about 50 rows with listed_entities and verified_entities counts per group per day.”
Clean company group name inconsistencies
“Some of our company_group names in the directory coverage records look like they might have inconsistent capitalisation or whitespace — can you run a string normalisation report on these 120 rows and flag any duplicate keys so I know which entries to fix before we import them?”
Pre-import data quality check
“Before we load this batch of 80 business directory coverage records into our system, can you run both a string normalisation check and a duplicate key report on them? The rows each have a row_id, company_group, date, listed_entities, and verified_entities.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-14-021?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need lightweight, offline data-quality checks — specifically string normalisation and duplicate key detection — on batches of business directory coverage records up to 200 rows. It is ideal for pre-import validation workflows where no live external lookup, ML prediction, or third-party enrichment is needed. Prefer it over general-purpose data tools when your data model matches the listed_entities/verified_entities/company_group schema and you need two reports in a single low-cost call.
Side effects
- Submitting more than 200 rows returns a validation error
- Missing required fields (row_id, company_group, date, listed_entities, verified_entities) cause row rejection
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Empty rows array rejected (minItems: 1)
- listed_entities or verified_entities values outside ±1,000,000,000,000 are rejected
- Payment failure results in 402 response with no report generated
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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