{"uid":"cap_og9RB4EtM8i8uiO7eHo1c","slug":"registry-snapshots-category-frequencies-adjacent-row-changes-498255c6","name":"Registry Snapshots — Category Frequencies + Adjacent Row Changes","description":"Registry snapshots — Category frequencies + Adjacent row changes: Category frequencies + Adjacent row changes 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-04-104?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_iJux9HZt8qxX-rcHDRLUO","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":"Analyzes registry snapshot data to produce category frequency distributions and adjacent row change reports for registered and changed entity counts.","exampleAgentPrompt":"Can you run both the category frequency and adjacent row changes reports on my registry snapshot data? I have rows with company_group, date, registered_entities, and changed_entities — here are up to 200 rows — and I want to analyze the registered_entities field.","exampleUseCases":[{"title":"Company group frequency audit","prompt":"I have a registry snapshot with about 50 rows, each with a company_group, date, row_id, registered_entities, and changed_entities. Can you tell me how frequently each company group appears and how registered_entities values shift between consecutive rows?"},{"title":"Detecting spikes in changed entities","prompt":"Here are my 120 registry snapshot records with dates ranging from Jan to March. Can you run the category frequencies and adjacent row changes reports on the changed_entities field so I can spot which groups had the biggest swings?"},{"title":"Validating registry data consistency","prompt":"I'm auditing our entity registry — I've got 80 daily snapshot rows across three company groups. Run me the category frequency breakdown and the row-to-row change analysis on registered_entities so I can see if anything looks off."}],"resultDescription":"Returns two independent analytical reports: (1) a category frequency table showing how often each company_group value appears across the supplied rows, and (2) an adjacent row changes report showing the difference in the selected field (registered_entities or changed_entities) between consecutive rows. Both reports are computed locally on the supplied data with no external lookups.","failureModes":["Missing required fields (row_id, company_group, date, registered_entities, changed_entities) cause validation errors","Exceeding 200 rows returns an error or truncated result","Invalid date format (not YYYY-MM-DD) may cause parsing failure","Null values in the selected numeric field may produce gaps in the adjacent row change report","Submitting 0 rows violates the minItems:1 constraint and returns a validation error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 registry snapshot records and need both a category frequency breakdown and adjacent row change analysis in a single low-cost call. It is ideal for offline/batch analytical workflows on supplied data without needing live data fetches or external enrichment. Prefer it over general-purpose analytics tools when cost predictability ($0.01 per dual-report call) and schema-validated input for registry data (company_group, registered_entities, changed_entities) are priorities.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T18:42:51.086Z","isFirstParty":false,"canonicalSlug":"registry-snapshots-category-frequencies-adjacent-row-changes-498255c6"}