{"uid":"cap_XyNa4KuOn0LG9tFxVpnHJ","slug":"event-attendance-numeric-interval-filter-8aabbc43","name":"Event Attendance Numeric Interval Filter","description":"Event attendance - Numeric interval filter: Numeric interval filter for Event attendance. Up to 200 supplied typed records. Local numeric and data-quality processing; no external enrichment or forecasting. One of 25 profiles or calculations across 20 shared operations in this sector. 0.01 USDC includes one bounded numeric interval filter deliverable.","url":"https://market.datapackvibe.com/x402/assistant-sector-analytics-event-attendance-range-filter?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","event_type","date","registrations","attendees"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"attendees":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"event_type":{"type":"string","default":"","maxLength":80},"registrations":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","attendees":1,"event_type":"group-a","registrations":10},{"date":"2026-10-02","row_id":"row-2","attendees":2,"event_type":"group-b","registrations":20},{"date":"2026-10-03","row_id":"row-3","attendees":3,"event_type":"group-a","registrations":15},{"date":"2026-10-04","row_id":"row-4","attendees":4,"event_type":"group-b","registrations":30}],"maxItems":200,"minItems":1},"field":{"enum":["registrations","attendees"],"type":"string","default":"registrations"},"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_mxNeQbZVwt6NZkOGofC2-","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 event attendance records to only those rows where a chosen numeric field (registrations or attendees) falls within a specified minimum–maximum range.","exampleAgentPrompt":"From my event attendance dataset, filter out all rows where registrations fall between 10 and 100 — here are the records: [{row_id:'row-1', event_type:'conference', date:'2026-10-01', registrations:10, attendees:8}, {row_id:'row-2', event_type:'webinar', date:'2026-10-02', registrations:200, attendees:150}].","exampleUseCases":[{"title":"Identify well-attended conferences","prompt":"I have a list of conference events with registrations and attendees — can you filter it to only show rows where the attendees field is between 100 and 5000? Here's the data: [{row_id:'evt-1', event_type:'summit', date:'2026-03-15', registrations:300, attendees:120}, {row_id:'evt-2', event_type:'seminar', date:'2026-03-16', registrations:50, attendees:30}]."},{"title":"Exclude outlier registration counts","prompt":"My event data has some rows with suspiciously high or zero registrations — filter it so I only keep rows where registrations are between 1 and 500. Records: [{row_id:'r1', event_type:'workshop', date:'2026-05-10', registrations:0, attendees:0}, {row_id:'r2', event_type:'workshop', date:'2026-05-11', registrations:75, attendees:60}, {row_id:'r3', event_type:'workshop', date:'2026-05-12', registrations:9999, attendees:10}]."},{"title":"Segment mid-tier webinar attendance","prompt":"Can you pull out only the webinar records where attendees fall between 50 and 200 from this dataset? [{row_id:'w1', event_type:'webinar', date:'2026-06-01', registrations:80, attendees:45}, {row_id:'w2', event_type:'webinar', date:'2026-06-02', registrations:150, attendees:130}, {row_id:'w3', event_type:'webinar', date:'2026-06-03', registrations:300, attendees:250}]."}],"resultDescription":"Returns the subset of the submitted event attendance rows where the chosen numeric field (registrations or attendees) falls within the specified minimum and maximum bounds. Each returned row retains all original fields: row_id, event_type, date, registrations, and attendees.","failureModes":["Payload exceeds 200 rows — endpoint rejects with validation error","minimum value greater than maximum value — may return empty result set or validation error","Invalid date format not matching YYYY-MM-DD pattern — schema validation failure","Missing required fields (row_id, event_type, date, registrations, attendees) in any row — rejected","field value not one of 'registrations' or 'attendees' — enum validation failure","Empty rows array — rejected due to minItems:1 constraint"],"whenToPreferThis":"Choose this endpoint when you have structured event attendance records (up to 200 rows) and need a fast, cheap local numeric range filter on either registrations or attendees — without needing external enrichment, forecasting, or ML. Ideal for preprocessing pipelines, data quality checks, or segmenting event cohorts before downstream analytics.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T19:04:38.204Z","isFirstParty":false,"canonicalSlug":"event-attendance-numeric-interval-filter-8aabbc43"}