{"uid":"cap_S-MsIFfxKa0wa0mVzmpdt","slug":"partnership-pipeline-numeric-interval-filter-secondary-measure-e2f5df68","name":"Partnership Pipeline — Numeric Interval Filter + Secondary-Measure Weighted Mean","description":"Partnership pipeline — Numeric interval filter + Secondary-measure weighted mean: Numeric interval filter + Secondary-measure weighted mean for supplied partnership pipeline records (qualified_partners, active_partners). 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-09-132?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","company_group","date","qualified_partners","active_partners"],"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},"active_partners":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"qualified_partners":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","company_group":"group-a","active_partners":1,"qualified_partners":10},{"date":"2026-10-02","row_id":"row-2","company_group":"group-b","active_partners":2,"qualified_partners":20},{"date":"2026-10-03","row_id":"row-3","company_group":"group-a","active_partners":3,"qualified_partners":15},{"date":"2026-10-04","row_id":"row-4","company_group":"group-b","active_partners":4,"qualified_partners":30}],"maxItems":200,"minItems":1},"field":{"enum":["qualified_partners","active_partners"],"type":"string","default":"qualified_partners"},"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_MGiFgpZ7FZHYAP1ih_wsp","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 partnership pipeline rows by a numeric interval on a chosen field and computes a weighted mean of a secondary measure, returning two analytical reports for up to 200 supplied rows.","exampleAgentPrompt":"I have 150 partnership pipeline records — can you filter them to rows where qualified_partners is between 5 and 80, then compute the weighted mean of active_partners across those filtered rows? Here's my data as an array of objects with row_id, company_group, date, qualified_partners, and active_partners.","exampleUseCases":[{"title":"Qualifying active partner tiers","prompt":"I want to filter our partnership pipeline to only include records where active_partners falls between 2 and 50, then get the weighted mean of qualified_partners for those rows. I have about 120 rows with company_group, date, active_partners, and qualified_partners — can you run both reports?"},{"title":"Regional pipeline range analysis","prompt":"We have 80 partnership records split across group-a and group-b. Filter them to rows where qualified_partners is between 10 and 100, and compute the weighted mean of active_partners within that range — I need both analytical reports back."},{"title":"Monthly partner cohort summary","prompt":"Can you take these 60 rows of monthly partnership data and filter to entries where active_partners is between 1 and 20, then give me the weighted mean of qualified_partners? Each row has a date, row_id, company_group, qualified_partners, and active_partners."}],"resultDescription":"Returns two independent analytical reports: (1) the subset of supplied rows where the chosen field falls within the specified numeric interval [minimum, maximum], and (2) a weighted mean of the secondary partnership measure computed across those filtered records. Both reports are generated locally from the supplied data with no external lookups.","failureModes":["Fewer than 1 row supplied — request rejected","More than 200 rows supplied — exceeds limit","Invalid date format (not YYYY-MM-DD) — validation error","minimum greater than maximum — illogical interval may yield empty filter result","Null values in the chosen field — rows may be excluded from interval filtering","Missing required fields (row_id, company_group, date, qualified_partners, active_partners) — schema validation error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 partnership pipeline records in hand (no live data needed) and want to simultaneously apply a numeric interval filter on one measure (qualified_partners or active_partners) and compute a weighted mean of the other — delivered as two bundled reports for $0.01 USDC. Ideal for self-contained batch analysis of partner data without requiring external data sources or prediction services.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:39:45.003Z","isFirstParty":false,"canonicalSlug":"partnership-pipeline-numeric-interval-filter-secondary-measure-e2f5df68"}