{"uid":"cap_gEi2MP1RBk1TTDgdhxy_Z","slug":"company-record-completeness-analyzer-quality-audit-string-0a97ee1c","name":"Company Record Completeness Analyzer — Quality Audit, String Normalisation & Base-100 Series","description":"Company record completeness — Record quality audit + String normalisation + Base-100 series: Record quality audit + String normalisation + Base-100 series for supplied company record completeness records (populated_fields, required_fields). 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.","url":"https://market.datapackvibe.com/x402/assistant-ib26-company-01-201?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},"field":{"enum":["populated_fields","required_fields"],"type":"string","default":"populated_fields"},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":0}}},"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_QSGYVOhrd1dXlR81FOmX_","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":"Runs three analytical reports (record quality audit, string normalisation, and base-100 index series) on up to 200 company record completeness data rows containing populated_fields and required_fields metrics.","exampleAgentPrompt":"Audit the completeness of my company records — I have 50 rows each with a row_id, company_group, date, populated_fields count, and required_fields count — and give me a record quality audit, string normalisation, and base-100 series report, using populated_fields as the main field with base index at 0.","exampleUseCases":[{"title":"CRM data hygiene audit across groups","prompt":"I have our CRM export with 120 company records, each tagged with a company_group, a date, and counts of how many fields are populated versus required. Can you run a quality audit, string normalisation check, and base-100 index report on all of them using populated_fields as the target field starting from index 0?"},{"title":"Benchmarking completeness trends over time","prompt":"We track company record completeness weekly — I have 80 rows covering two business units from January to March, each with populated_fields and required_fields counts. Can you produce a base-100 series and quality audit so I can see how completeness has trended, anchored to the first row?"},{"title":"Pre-migration data quality check","prompt":"Before we migrate our company database, I need to audit 150 company records for record quality and normalisation issues — each row has a group label, a date, and the number of populated vs required fields. Please run all three reports on required_fields starting at base index 0."}],"resultDescription":"Three independent analytical reports covering: (1) a record quality audit flagging anomalies and completeness issues in the supplied rows, (2) a string normalisation report standardising group and date labels, and (3) a base-100 indexed series for the selected field (populated_fields or required_fields) anchored at the specified base_index row. All computed locally from supplied data with no external lookups.","failureModes":["Fewer than 1 or more than 200 rows submitted — validation error","Missing required fields (row_id, company_group, date, populated_fields, required_fields) on any row — schema validation failure","Date strings not matching YYYY-MM-DD pattern — rejected by pattern validation","base_index out of range (0–199) — error response","Non-numeric or out-of-range values for populated_fields or required_fields — validation rejection","Payment not submitted or insufficient USDC — x402 payment required error"],"whenToPreferThis":"Choose this endpoint when you need a quick, low-cost ($0.01) batch analytical pass over up to 200 company record completeness rows — specifically when you want three complementary views (quality audit, normalisation, and base-100 indexing) in a single call without any external data lookup or live enrichment. Ideal for CRM data hygiene checks, pre-migration audits, or periodic completeness monitoring where the data is already in hand.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:31.743Z","isFirstParty":false,"canonicalSlug":"company-record-completeness-analyzer-quality-audit-string-0a97ee1c"}