{"uid":"cap_EhSdSYnbXKdz_Evm-4ubo","slug":"local-event-calendars-numeric-distribution-numeric-row-ordering-8b82a165","name":"Local Event Calendars — Numeric Distribution + Numeric Row Ordering","description":"Local event calendars — Numeric distribution + Numeric row ordering: Numeric distribution + Numeric row ordering for supplied local event calendars records (listed_events, updated_events). 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-news-19-073?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","channel_group","date","listed_events","updated_events"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"channel_group":{"type":"string","default":"","maxLength":80},"listed_events":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"updated_events":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","channel_group":"group-a","listed_events":10,"updated_events":1},{"date":"2026-10-02","row_id":"row-2","channel_group":"group-b","listed_events":20,"updated_events":2},{"date":"2026-10-03","row_id":"row-3","channel_group":"group-a","listed_events":15,"updated_events":3},{"date":"2026-10-04","row_id":"row-4","channel_group":"group-b","listed_events":30,"updated_events":4}],"maxItems":200,"minItems":1},"field":{"enum":["listed_events","updated_events"],"type":"string","default":"listed_events"}}},"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_VFiDF3gLwcqtYdVzk3HaW","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 numeric distribution statistics and row ordering ranks for local event calendar data (listed_events, updated_events) across up to 200 supplied rows, returning two independent analytical reports.","exampleAgentPrompt":"Can you run a numeric distribution and row ordering analysis on my local event calendar data? I have rows with dates like 2026-10-01 through 2026-10-04, channel groups like 'group-a' and 'group-b', and listed_events counts of 10, 20, 15, and 30 — I want both the distribution breakdown and the ranked ordering for listed_events.","exampleUseCases":[{"title":"Event volume distribution by channel","prompt":"I have 4 weeks of local event calendar data across two channel groups with daily listed_events counts ranging from 5 to 150 — can you compute the numeric distribution and row ordering for listed_events so I can see how volumes are spread and which days rank highest?"},{"title":"Ranking updated events across calendar dates","prompt":"Here's my event calendar dataset with 30 rows spanning October, each with a date, channel_group, and updated_events count — please give me the numeric distribution and ranked row ordering for updated_events so I can identify which dates had the most activity."},{"title":"Comparing listing activity across market segments","prompt":"I need to analyze my local event calendar records for the past month — I have rows for three channel groups with both listed_events and updated_events values, and I want the numeric distribution plus row ordering report for listed_events to understand how listings are distributed across groups."}],"resultDescription":"Two independent analytical reports per call: (1) a numeric distribution report showing the statistical spread of the selected field (listed_events or updated_events) across all supplied rows, and (2) a numeric row ordering report ranking each row by the selected field value. Covers up to 200 rows per request.","failureModes":["Missing required fields (row_id, date, listed_events, updated_events) causes validation error","Date field not matching YYYY-MM-DD pattern causes rejection","Submitting more than 200 rows exceeds the row limit","Null values in numeric fields may affect distribution calculations","Invalid enum value for 'field' parameter causes error"],"whenToPreferThis":"Choose this endpoint when you have local event calendar data with listed_events and updated_events metrics and need both a statistical distribution analysis and ranked row ordering in a single low-cost call. It is best suited for batch offline analysis of supplied data (not live lookups), and is cost-effective at $0.01 for two reports covering up to 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T12:45:17.678Z","isFirstParty":false,"canonicalSlug":"local-event-calendars-numeric-distribution-numeric-row-ordering-8b82a165"}