{"uid":"cap_pqr4gZabYV2GuNItciFb5","slug":"registry-snapshots-record-quality-audit-string-normalisation-547c2723","name":"Registry Snapshots — Record Quality Audit + String Normalisation","description":"Registry snapshots — Record quality audit + String normalisation: Record quality audit + String normalisation for supplied registry snapshots records (registered_entities, changed_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.","url":"https://market.datapackvibe.com/x402/assistant-ib26-company-04-001?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","company_group","date","registered_entities","changed_entities"],"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},"changed_entities":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"registered_entities":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","company_group":"group-a","changed_entities":1,"registered_entities":10},{"date":"2026-10-02","row_id":"row-2","company_group":"group-b","changed_entities":2,"registered_entities":20},{"date":"2026-10-03","row_id":"row-3","company_group":"group-a","changed_entities":3,"registered_entities":15},{"date":"2026-10-04","row_id":"row-4","company_group":"group-b","changed_entities":4,"registered_entities":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_4i8qQW8CvcD2lNySoaCQU","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":"Audits data quality and normalises strings in registry snapshot records (registered_entities, changed_entities) for up to 200 rows, returning two independent analytical reports.","exampleAgentPrompt":"Can you audit the data quality and normalise the company group strings in these registry snapshot rows — I have 4 rows with fields like row_id, company_group, date, registered_entities, and changed_entities, and I want both a quality audit report and a string normalisation report back?","exampleUseCases":[{"title":"Pre-load registry data quality check","prompt":"Before I import these registry snapshot records into our database, can you run a quality audit on them? I've got about 50 rows each with a row_id, company_group, date, registered_entities count, and changed_entities count — I need to know if there are any data quality issues and get the strings normalised."},{"title":"Clean inconsistent company group names","prompt":"I have a batch of 120 registry snapshot rows where the company_group field looks inconsistent — different capitalisations and spacing. Can you normalise those strings and also give me a data quality audit report on the registered_entities and changed_entities values?"},{"title":"Routine weekly registry snapshot audit","prompt":"Here are this week's registry snapshot rows — 80 records with row_id, company_group, date, registered_entities, and changed_entities. Please run the record quality audit and string normalisation reports so I can review any issues before signing off on the data."}],"resultDescription":"Returns two independent analytical reports for the supplied rows: (1) a record quality audit highlighting data quality issues, anomalies, or inconsistencies in the registry snapshot fields, and (2) a string normalisation report showing standardised versions of string fields such as company_group. Both reports are computed locally with no external lookups.","failureModes":["More than 200 rows submitted — exceeds the maxItems limit, request rejected","Missing required fields (row_id, date, registered_entities, changed_entities) on any row — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Numeric values outside allowed range (±1,000,000,000,000) — schema validation failure","Empty rows array — minItems constraint violated"],"whenToPreferThis":"Choose this endpoint when you need both a data quality audit and string normalisation in a single call for registry snapshot data with up to 200 rows. It is ideal for pre-ingestion validation of company registry data, cleaning inconsistent company group strings, and detecting quality issues in entity count fields — all without requiring live lookups or external data enrichment. Prefer this over generic data cleaning tools when working specifically with registered_entities and changed_entities registry snapshot structures.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T18:48:45.295Z","isFirstParty":false,"canonicalSlug":"registry-snapshots-record-quality-audit-string-normalisation-547c2723"}