{"uid":"cap_-8GUAsUS5E6POJKwmGybt","slug":"registry-snapshots-record-quality-audit-numeric-row-ordering-39569f39","name":"Registry Snapshots — Record Quality Audit + Numeric Row Ordering","description":"Registry snapshots — Record quality audit + Numeric row ordering: Record quality audit + Numeric row ordering 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-04-007?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},"field":{"enum":["registered_entities","changed_entities"],"type":"string","default":"registered_entities"}}},"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_N03rvqcJEfGvUNDASG-Lx","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 two analytical reports on registry snapshot data (registered_entities, changed_entities): a record quality audit and a numeric row ordering, for up to 200 rows.","exampleAgentPrompt":"Can you run a record quality audit and numeric row ordering on my registry snapshot data? I have 4 rows: row-1 for group-a on 2026-10-01 with 10 registered_entities and 1 changed_entity, row-2 for group-b on 2026-10-02 with 20 registered and 2 changed, row-3 for group-a on 2026-10-03 with 15 registered and 3 changed, row-4 for group-b on 2026-10-04 with 30 registered and 4 changed — order by registered_entities.","exampleUseCases":[{"title":"Monthly registry data quality check","prompt":"I have a month's worth of registry snapshots for two company groups — can you audit the record quality and give me a numeric ordering by registered_entities? Here are my rows: row-1 (group-a, 2026-11-01, registered=50, changed=5), row-2 (group-b, 2026-11-01, registered=null, changed=3), row-3 (group-a, 2026-11-02, registered=45, changed=null), row-4 (group-b, 2026-11-02, registered=60, changed=7)."},{"title":"Validating changed entity counts across groups","prompt":"Run a quality audit and numeric row ordering on these registry snapshot rows, ordering by changed_entities: row-1 (group-alpha, 2026-09-15, registered=100, changed=12), row-2 (group-beta, 2026-09-15, registered=200, changed=null), row-3 (group-alpha, 2026-09-16, registered=110, changed=8), row-4 (group-beta, 2026-09-16, registered=195, changed=20)."},{"title":"Detecting nulls in entity snapshot pipeline","prompt":"I'm piping registry snapshots through a data pipeline and need to catch any record quality issues before processing — can you audit these 3 rows and rank them by registered_entities? row-1 (corp-x, 2026-12-01, registered=500, changed=30), row-2 (corp-y, 2026-12-01, registered=null, changed=15), row-3 (corp-z, 2026-12-01, registered=320, changed=null)."}],"resultDescription":"Returns two independent analytical reports: (1) a record quality audit identifying issues such as nulls, out-of-range values, or formatting anomalies in the supplied registry snapshot rows, and (2) a numeric row ordering ranking all rows by the selected field (registered_entities or changed_entities). Both reports are computed locally against the supplied data only, with no external lookups or predictions.","failureModes":["Missing required fields (row_id, company_group, date, registered_entities, changed_entities) cause validation errors","More than 200 rows submitted returns an error","Invalid date format (not YYYY-MM-DD) rejected by schema pattern","Numeric values outside the allowed range (±1,000,000,000,000) rejected","Invalid field enum value (not registered_entities or changed_entities) causes error","Empty rows array rejected (minItems: 1)","Payment failure via x402 protocol prevents processing"],"whenToPreferThis":"Choose this endpoint when you need both a data quality audit and a numeric ordering of registry snapshot records (registered_entities, changed_entities) in a single low-cost call. Ideal for pipelines that ingest company registry data and need to validate completeness and rank rows before downstream processing. Not suitable for live lookups, predictions, or professional assessments — analysis is purely computational against supplied data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T18:52:20.398Z","isFirstParty":false,"canonicalSlug":"registry-snapshots-record-quality-audit-numeric-row-ordering-39569f39"}