{"uid":"cap_ppV2d3BweM4J_nGNYGner","slug":"partnership-pipeline-numeric-interval-filter-two-measure-correlation-3593bfb5","name":"Partnership Pipeline — Numeric Interval Filter + Two-Measure Correlation","description":"Partnership pipeline — Numeric interval filter + Two-measure correlation: Numeric interval filter + Two-measure correlation 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-09-131?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_Uhe7rKpvq1UeqQI4J3BUd","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 correlation between qualified_partners and active_partners across up to 200 supplied records.","exampleAgentPrompt":"I have 4 rows of partnership pipeline data — row-1 (group-a, 2026-10-01, active_partners=1, qualified_partners=10), row-2 (group-b, 2026-10-02, active_partners=2, qualified_partners=20), row-3 (group-a, 2026-10-03, active_partners=3, qualified_partners=15), row-4 (group-b, 2026-10-04, active_partners=4, qualified_partners=30) — please filter rows where qualified_partners falls between 0 and 25, and also run a correlation between qualified_partners and active_partners across all rows.","exampleUseCases":[{"title":"Qualifying active partner band analysis","prompt":"Here are 50 rows of our partnership pipeline records with dates, company groups, qualified_partners, and active_partners counts. Filter them to only show rows where active_partners is between 5 and 50, and also give me the correlation between qualified_partners and active_partners for the whole dataset."},{"title":"Regional group correlation check","prompt":"I've got partnership data for two company groups over the past quarter — about 80 records. Can you filter down to rows where qualified_partners is between 10 and 100, and compute the correlation between qualified_partners and active_partners so I can see how closely they move together?"},{"title":"Pipeline health interval report","prompt":"Take these 120 partnership pipeline rows and run two reports: first filter by qualified_partners between 0 and 200, and second compute the correlation between qualified_partners and active_partners — I want to understand if qualifying more partners actually leads to more active ones."}],"resultDescription":"Returns two independent analytical reports: (1) a filtered subset of the supplied rows where the chosen field falls within the specified minimum–maximum interval, and (2) a correlation coefficient and supporting statistics between qualified_partners and active_partners across the supplied records. Both reports use local analytical engines on the provided data only — no external lookups or predictions.","failureModes":["Empty rows array or missing required fields (row_id, date, qualified_partners, active_partners) causes validation error","Minimum greater than maximum results in an empty filtered set or validation error","More than 200 rows submitted exceeds the maxItems limit and will be rejected","Non-numeric values in numeric fields cause schema validation failure","Date strings not matching YYYY-MM-DD pattern are rejected","Insufficient variance in data may produce undefined or degenerate correlation results"],"whenToPreferThis":"Choose this endpoint when you need to both filter partnership pipeline records by a numeric range AND understand the statistical relationship between qualified_partners and active_partners in a single low-cost call. It is ideal for business development or channel analytics workflows where you supply your own data and need two complementary analytical outputs — interval filtering and correlation — without any external data enrichment or prediction. Prefer this over generic analytics tools when your data matches the partnership pipeline schema (qualified_partners, active_partners, company_group, date).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T18:47:00.031Z","isFirstParty":false,"canonicalSlug":"partnership-pipeline-numeric-interval-filter-two-measure-correlation-3593bfb5"}