{"uid":"cap_0IspzzpbtJfEU2Htnumo1","slug":"registry-snapshots-numeric-interval-filter-two-measure-correlation-3b3f328c","name":"Registry Snapshots — Numeric Interval Filter + Two-Measure Correlation","description":"Registry snapshots — Numeric interval filter + Two-measure correlation: Numeric interval filter + Two-measure correlation 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-04-131?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"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_1p4eFBoQcxXXdJQbtMrt3","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":"Filters registry snapshot rows by a numeric interval on a chosen field and computes a Pearson/rank correlation between registered_entities and changed_entities, returning two analytical reports for up to 200 supplied rows.","exampleAgentPrompt":"I have registry snapshot data for two company groups across October 2026 — can you filter the rows where registered_entities is between 5 and 50, then run a two-measure correlation between registered_entities and changed_entities and give me two analytical reports?","exampleUseCases":[{"title":"Regulatory compliance entity change audit","prompt":"I have 150 rows of registry snapshot records with company groups and daily registered_entities and changed_entities counts. Filter out rows where registered_entities falls outside 0 to 200, then tell me how correlated those two measures are across the filtered dataset — I need two separate reports."},{"title":"Detecting anomalous registration spikes","prompt":"Can you take my registry snapshot table — it has row_id, company_group, date, registered_entities, and changed_entities — filter it to only rows where changed_entities is between 1 and 100, and then compute the correlation between changed_entities and registered_entities? I want to see both analytical reports."},{"title":"Cross-group registry trend comparison","prompt":"I've got registry snapshot data for group-a and group-b across Q4. Please filter the rows so registered_entities is between 10 and 500, then run a two-measure correlation analysis on registered_entities versus changed_entities and return the two reports so I can compare trends across the groups."}],"resultDescription":"Returns two independent analytical reports: (1) the subset of input rows whose selected field value falls within the specified [minimum, maximum] numeric interval, and (2) a correlation analysis (e.g. Pearson or rank correlation) between registered_entities and changed_entities across those filtered rows. All computation is performed locally on the supplied data with no external lookups.","failureModes":["Fewer than 1 row supplied — request rejected","More than 200 rows supplied — exceeds maxItems limit","minimum greater than maximum — invalid interval produces empty filter result","Non-numeric or null values in both measure fields — correlation cannot be computed","Date strings not matching YYYY-MM-DD pattern — schema validation error","Payment of 0.01 USDC not completed — 402 response, no reports returned"],"whenToPreferThis":"Choose this endpoint when you have up to 200 registry snapshot rows with registered_entities and changed_entities fields and need both a numeric interval filter and a two-measure correlation in a single $0.01 call. Prefer it over general-purpose analytics tools when you want fast, local, no-external-lookup computation on structured registry data with a predictable schema. Use it instead of building custom SQL or Python scripts when the dataset fits within 200 rows and the two-report output format (interval filter + correlation) matches your analysis goals.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T18:48:44.988Z","isFirstParty":false,"canonicalSlug":"registry-snapshots-numeric-interval-filter-two-measure-correlation-3b3f328c"}