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Company Record Completeness — String Normalisation + Base-100 Series
x402
Company Record Completeness — String Normalisation + Base-100 Series 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).
Performs string normalisation and base-100 indexed analytics on up to 200 company record completeness rows (populated_fields, required_fields), producing two independent reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Company record completeness — String normalisation + Base-100 series: String normalisation + Base-100 series for supplied company record completeness records (populated_fields, required_fields). 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 string-normalised view of the supplied completeness data and (2) a base-100 indexed time series for the chosen field (populated_fields or required_fields), covering up to 200 input rows segmented by company_group and date. No external data is fetched; all computation is local.
Example use cases
CRM data quality audit by group
“I want to audit our CRM data quality — I have 120 rows of company records tagged as either 'north-america' or 'emea', each with a date, how many fields are populated, and how many fields are required. Can you normalise the strings and produce a base-100 series report starting from index 0?”
Monthly completeness benchmarking
“We track company record completeness every month and I need to benchmark it. I'll give you 30 rows, one per company group per month, with populated_fields and required_fields. Can you generate the base-100 indexed series so I can see how each group trends relative to the starting point?”
Data migration readiness check
“Before we migrate our company database, I want to check how complete the records are. I have 200 rows covering two company groups with populated and required field counts from the past quarter. Can you run the string normalisation and base-100 analysis on populated_fields with base_index 0 so I can see the gaps?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-01-030?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need lightweight, local (no external lookup) string normalisation and base-100 indexing specifically for company record completeness metrics (populated vs required fields). It is ideal for data quality audits, CRM completeness benchmarking, and pre-migration checks on batches of up to 200 rows. Prefer it over general-purpose analytics tools when you want a fixed-cost ($0.01 USDC), two-report bundle without any AI prediction or live data enrichment.
Side effects
- More than 200 rows submitted — request rejected with validation error
- Missing required fields (row_id, company_group, date, populated_fields, required_fields) — row rejected
- Invalid date format (not YYYY-MM-DD) — validation error
- base_index out of range 0–199 — validation error
- populated_fields or required_fields outside allowed numeric bounds — validation error
- Empty rows array — request rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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