{"uid":"cap_wtNPyTIQx68m60asblr4J","slug":"registry-snapshots-string-normalisation-daily-sum-series-f3ed1185","name":"Registry Snapshots — String Normalisation + Daily Sum Series","description":"Registry snapshots — String normalisation + Daily sum series: String normalisation + Daily sum series 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-04-027?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_pAG8jzmL-6ZtuJHKWudFu","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 local analytical reports (string normalisation and daily sum series) on up to 200 rows of registry snapshot data containing registered and changed entity counts.","exampleAgentPrompt":"Can you run string normalisation and a daily sum series on my registry snapshot data? I have rows with company_group, date, registered_entities, and changed_entities fields — use the registered_entities field for the sum series, here are up to 200 rows.","exampleUseCases":[{"title":"Daily entity registration rollup","prompt":"I have registry snapshot records for two company groups across several dates — can you compute a daily sum series for registered_entities and also normalise the company_group strings so the labels are consistent?"},{"title":"Changed entities trend aggregation","prompt":"Take these registry snapshot rows with company_group, date, and changed_entities values, normalise the string fields, and give me a daily sum series for changed_entities so I can see the daily totals."},{"title":"Multi-group registry data cleanup","prompt":"I've got up to 150 rows of registry snapshot data with mixed-case and inconsistent company_group names — run string normalisation on them and aggregate registered_entities into a daily sum series for me."}],"resultDescription":"Returns two independent analytical reports for the supplied registry snapshot rows: (1) a string normalisation report cleaning and standardising text fields such as company_group, and (2) a daily sum series report aggregating the selected numeric field (registered_entities or changed_entities) by date. No external lookups or predictions are made; all computation is performed locally on the supplied data.","failureModes":["Input array has fewer than 1 or more than 200 rows — request rejected","Invalid date format (not YYYY-MM-DD) in any row — validation error","Numeric values outside allowed range (-1e12 to 1e12) — schema validation failure","Missing required fields (row_id, company_group, date) — request rejected","Invalid field selector value (not 'registered_entities' or 'changed_entities') — enum error","Payment not included or insufficient — x402 payment required response"],"whenToPreferThis":"Choose this endpoint when you need two complementary data-quality and aggregation reports — string normalisation plus daily sum series — on registry snapshot data in a single $0.01 call. It is ideal for cleaning up inconsistent company group labels while simultaneously computing daily totals for entity counts, without needing an external database or live data source.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:40:01.404Z","isFirstParty":false,"canonicalSlug":"registry-snapshots-string-normalisation-daily-sum-series-f3ed1185"}