{"uid":"cap_3iYwTmyLEC2tpkk0BrgA4","slug":"company-record-completeness-string-normalisation-two-measure-1f9e7ac5","name":"Company Record Completeness — String Normalisation + Two-Measure Correlation","description":"Company record completeness — String normalisation + Two-measure correlation: String normalisation + Two-measure correlation 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.","url":"https://market.datapackvibe.com/x402/assistant-ib26-company-01-033?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","company_group","date","populated_fields","required_fields"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"company_group":{"type":"string","default":"","maxLength":80},"required_fields":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"populated_fields":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","company_group":"group-a","required_fields":1,"populated_fields":10},{"date":"2026-10-02","row_id":"row-2","company_group":"group-b","required_fields":2,"populated_fields":20},{"date":"2026-10-03","row_id":"row-3","company_group":"group-a","required_fields":3,"populated_fields":15},{"date":"2026-10-04","row_id":"row-4","company_group":"group-b","required_fields":4,"populated_fields":30}],"maxItems":200,"minItems":1}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.01/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_jdtbC5HSRloWC9l_Nz5kK","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Normalises company record completeness data and computes two-measure correlation analysis across populated vs. required fields for up to 200 rows, returning two independent analytical reports.","exampleAgentPrompt":"Can you run a string-normalisation and two-measure correlation analysis on our company record completeness data? I've got rows for groups 'alpha' and 'beta' with populated_fields and required_fields counts from 2024-01-01 through 2024-01-04 — I want both correlation reports back.","exampleUseCases":[{"title":"CRM data quality audit by team","prompt":"I need to check how complete our CRM records are across different sales teams — I have up to 80 rows with company_group labels like 'EMEA' and 'APAC', dates in October 2024, and counts of populated vs required fields for each entry. Can you normalize the strings and run a two-measure correlation so I get both reports?"},{"title":"Monthly completeness trend analysis","prompt":"Run a completeness correlation on our monthly company record data from 2024-01-01 to 2024-04-30 — I have about 120 rows grouped by 'enterprise' and 'SMB', each with populated_fields and required_fields values. I want to see the string-normalised correlation between those two measures in two separate reports."},{"title":"Pre-migration record quality check","prompt":"Before we migrate our company database, can you analyze record completeness for our 150 rows? Each row has a company_group like 'legacy' or 'new', a date, and the counts of populated and required fields. I want both the normalisation output and the two-measure correlation report to understand where the gaps are."}],"resultDescription":"Returns two independent analytical reports: (1) string-normalised company record completeness data and (2) a two-measure correlation analysis comparing populated_fields against required_fields, computed locally without any external lookup or live data enrichment, for up to 200 input rows.","failureModes":["Exceeds 200-row limit — request rejected","Missing required fields (row_id, company_group, date, populated_fields, required_fields) — validation error","Malformed date format (must match YYYY-MM-DD pattern) — schema validation failure","populated_fields or required_fields out of numeric range — rejected","Empty rows array — minimum 1 item required"],"whenToPreferThis":"Choose this endpoint when you need lightweight, local string normalisation and two-measure correlation specifically for company record completeness data (populated vs. required fields) without any live lookups or external enrichment. It is ideal for batch data quality audits up to 200 rows at very low cost ($0.01 USDC for two reports). Prefer alternatives if you need prediction, live CRM lookups, more than two measures, or more than 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T18:51:15.971Z","isFirstParty":false,"canonicalSlug":"company-record-completeness-string-normalisation-two-measure-1f9e7ac5"}