{"uid":"cap_FW9A_WKY2xzvP_zDKDbHm","slug":"business-event-participation-numeric-interval-filter-secondary-a4ee6e4b","name":"Business Event Participation — Numeric Interval Filter + Secondary-Measure Weighted Mean","description":"Business event participation — Numeric interval filter + Secondary-measure weighted mean: Numeric interval filter + Secondary-measure weighted mean for supplied business event participation records (attendee_count, company_count). 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-19-132?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","company_group","date","attendee_count","company_count"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"company_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"company_group":{"type":"string","default":"","maxLength":80},"attendee_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","company_count":1,"company_group":"group-a","attendee_count":10},{"date":"2026-10-02","row_id":"row-2","company_count":2,"company_group":"group-b","attendee_count":20},{"date":"2026-10-03","row_id":"row-3","company_count":3,"company_group":"group-a","attendee_count":15},{"date":"2026-10-04","row_id":"row-4","company_count":4,"company_group":"group-b","attendee_count":30}],"maxItems":200,"minItems":1},"field":{"enum":["attendee_count","company_count"],"type":"string","default":"attendee_count"},"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_98HEcILZfl3U0wDMKaZOi","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 business event participation rows by a numeric interval and computes a secondary-measure weighted mean, delivering two analytical reports for up to 200 supplied rows.","exampleAgentPrompt":"I have event participation records with attendee_count and company_count — can you filter rows where attendee_count is between 5 and 50 and then compute the weighted mean of company_count across those filtered rows? Here are up to 200 rows of data.","exampleUseCases":[{"title":"Midsize event attendance analysis","prompt":"I have a list of business events with attendee and company counts. Filter the rows where attendee_count is between 10 and 100, then give me the weighted mean of company_count for those filtered events."},{"title":"Low-participation event company weighting","prompt":"From my event participation dataset, keep only rows where company_count falls between 1 and 25, and compute the weighted mean of attendee_count across those records. I'll supply up to 150 rows."},{"title":"Quarterly event data review","prompt":"I need two reports on my Q3 event participation data: first filter out rows where attendee_count is outside the 20-to-200 range, then calculate the secondary-measure weighted mean of company_count for the remaining rows."}],"resultDescription":"Returns two analytical reports: (1) the subset of supplied rows whose chosen field value falls within the specified numeric interval [minimum, maximum], and (2) the weighted mean of the secondary measure computed over those filtered records. Results are derived entirely from the supplied data with no external lookups.","failureModes":["rows array exceeds 200 items — request rejected","row missing required fields (row_id, company_group, date, attendee_count, company_count) — validation error","minimum greater than maximum — invalid interval, likely empty result set","date fields not in YYYY-MM-DD format — schema validation failure","all rows filtered out by interval — weighted mean undefined or null","payment not included or insufficient — 402 payment required"],"whenToPreferThis":"Choose this endpoint when you have up to 200 business event participation records and need both a numeric interval filter (to isolate rows within a value range) and a weighted mean of a secondary measure in a single paid call. It is ideal for self-contained analytical tasks on supplied data without requiring live data lookups, external databases, or prediction services. Prefer this over general-purpose analytics tools when you need these two specific computations bundled cost-effectively at $0.01 USDC per call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T12:48:57.029Z","isFirstParty":false,"canonicalSlug":"business-event-participation-numeric-interval-filter-secondary-a4ee6e4b"}