{"uid":"cap_I_nzaJAIyY9El93ZFsONP","slug":"registry-snapshots-string-normalisation-numeric-interval-filter-eb5bb217","name":"Registry Snapshots — String Normalisation + Numeric Interval Filter","description":"Registry snapshots — String normalisation + Numeric interval filter: String normalisation + Numeric interval filter 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-04-026?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_oahjeSFNjZHt5_FR4bmnx","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":"Normalises company_group strings and filters registry snapshot rows (registered_entities, changed_entities) to a specified numeric interval, returning up to 2 analytical reports for up to 200 rows.","exampleAgentPrompt":"I have 120 rows of registry snapshot data with company_group names and registered_entities counts — can you normalise the company_group strings and filter the registered_entities field to only show rows between 5 and 500?","exampleUseCases":[{"title":"Clean registry snapshot company labels","prompt":"I've got a batch of registry snapshot records where the company_group field has inconsistent capitalisation and spacing. Can you normalise those strings and also filter the registered_entities column to rows between 10 and 10000?"},{"title":"Filter changed entities within a threshold range","prompt":"Here are 80 rows of registry data — I need you to normalise the company_group names and then filter changed_entities to only keep rows where the value is between -50 and 200."},{"title":"Audit registry data quality by entity volume","prompt":"Can you take these registry snapshot records and run string normalisation on company_group plus filter registered_entities to the interval 0 to 5000, so I can see which groups are within our expected registration volume?"}],"resultDescription":"Two analytical reports: (1) string-normalised company_group values for the submitted rows, and (2) rows where the selected numeric field (registered_entities or changed_entities) falls within the specified [minimum, maximum] interval. Up to 200 input rows processed per call with no external lookups or predictions.","failureModes":["Fewer than 1 row submitted — request rejected","More than 200 rows submitted — exceeds maxItems limit","Invalid date format (not YYYY-MM-DD) — schema validation error","Numeric values outside ±1,000,000,000,000 bounds — schema rejection","Missing required fields (row_id, company_group, date, registered_entities, changed_entities) — validation failure","minimum greater than maximum — may yield empty interval result set"],"whenToPreferThis":"Choose this endpoint when you have up to 200 registry snapshot rows and need both string normalisation on company_group labels AND numeric interval filtering on registered_entities or changed_entities in a single $0.01 call. Prefer it over generic data tools when your data matches the registry snapshot schema (row_id, company_group, date, registered_entities, changed_entities) and you want two bundled local analytical reports without external lookups or live data access.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:39:35.761Z","isFirstParty":false,"canonicalSlug":"registry-snapshots-string-normalisation-numeric-interval-filter-eb5bb217"}