{"uid":"cap_lSOwF8mpnKW19vlIzUHaK","slug":"registry-snapshots-trailing-mean-series-date-by-category-pivot-49f4fd0c","name":"Registry Snapshots — Trailing Mean Series + Date by Category Pivot","description":"Registry snapshots — Trailing mean series + Date by category pivot: Trailing mean series + Date by category pivot 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-04-152?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"},"window":{"type":"integer","default":2,"maximum":200,"minimum":2}}},"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_LVGtfCTXwA3-bi6RJx3DG","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":"Computes a trailing moving average time series and a date-by-category pivot table for supplied registry snapshot data (registered_entities, changed_entities) — two analytical reports in one call.","exampleAgentPrompt":"Run a trailing mean series with a window of 3 and a date-by-category pivot on these registry snapshot rows — the field I care about is registered_entities, and here are my records: row-1 (group-a, 2026-10-01, registered=10, changed=1), row-2 (group-b, 2026-10-02, registered=20, changed=2), row-3 (group-a, 2026-10-03, registered=15, changed=3).","exampleUseCases":[{"title":"Smoothing entity registration trends","prompt":"I have weekly registry snapshots for three company groups over the past quarter — can you compute a trailing mean series with a window of 4 for registered_entities so I can see the smoothed trend for each group? Here are up to 150 rows of data."},{"title":"Pivot changed entities by date and group","prompt":"Take these registry snapshot records with dates and company_group labels and give me a date-by-category pivot for changed_entities — I need to see how each group's changes break down day by day across 80 rows."},{"title":"Dual-report analytics for compliance review","prompt":"I'm reviewing entity change activity across two company groups for a compliance audit — please run both the trailing mean series with window 5 and the date pivot on these 60 registry snapshot rows using the changed_entities field."}],"resultDescription":"Returns two independent analytical reports: (1) a trailing mean series showing rolling averages of the selected field (registered_entities or changed_entities) over the specified window, and (2) a date-by-category pivot table breaking down the selected field's values by date and company_group — both computed from the supplied rows without any external lookups.","failureModes":["Fewer than 1 row supplied — minimum 1 row required","More than 200 rows supplied — hard cap at 200 rows","Window size less than 2 or greater than 200 — invalid window","Date values not matching YYYY-MM-DD format — schema validation failure","row_id missing or empty — required field violation","Numeric field values outside ±1,000,000,000,000 — schema violation","Payment of 0.01 USDC not completed — 402 Payment Required response"],"whenToPreferThis":"Choose this endpoint when you need both a rolling/trailing mean time series and a date-by-category pivot on registry snapshot data (registered_entities or changed_entities) in a single low-cost call. It is ideal for batch analytical summarization of up to 200 pre-collected rows without any need for live data lookup or external enrichment. Prefer it over general-purpose analytics tools when working within the x402 micropayment ecosystem and needing two bundled reports for $0.01 USDC.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T18:43:47.347Z","isFirstParty":false,"canonicalSlug":"registry-snapshots-trailing-mean-series-date-by-category-pivot-49f4fd0c"}