{"uid":"cap_Pry6HflzxRQwkM2hVXEVK","slug":"partnership-pipeline-string-normalisation-and-two-measure-correlation-fb1a873e","name":"Partnership Pipeline String Normalisation and Two-Measure Correlation","description":"Partnership pipeline — String normalisation + Two-measure correlation: String normalisation + 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-09-033?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}}},"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_V8WddulR1pCX_QDFwWw7f","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":"Normalises string fields and computes correlation between qualified_partners and active_partners across up to 200 partnership pipeline rows, returning two analytical reports.","exampleAgentPrompt":"Can you run string normalisation and correlation analysis on my partnership pipeline data? I have 4 rows — group-a on 2026-10-01 had 10 qualified and 1 active, group-b on 2026-10-02 had 20 qualified and 2 active, group-a on 2026-10-03 had 15 qualified and 3 active, and group-b on 2026-10-04 had 30 qualified and 4 active.","exampleUseCases":[{"title":"Partner conversion correlation by group","prompt":"I have monthly partnership data for two company groups over the last quarter — can you normalize the group names and tell me how correlated our qualified_partners numbers are with active_partners for each period? Here are the rows: row-1 group-alpha 2026-07-01 qualified=50 active=5, row-2 group-beta 2026-07-01 qualified=80 active=12, row-3 group-alpha 2026-08-01 qualified=60 active=7, row-4 group-beta 2026-08-01 qualified=90 active=15."},{"title":"Pipeline health check across regions","prompt":"We track qualified and active partner counts across three regional groups weekly. Can you normalize the region names and compute the two-measure correlation between qualified_partners and active_partners for these 6 records: row-1 EMEA 2026-09-01 q=100 a=20, row-2 APAC 2026-09-01 q=80 a=18, row-3 EMEA 2026-09-08 q=110 a=22, row-4 APAC 2026-09-08 q=85 a=19, row-5 EMEA 2026-09-15 q=95 a=21, row-6 APAC 2026-09-15 q=78 a=17?"},{"title":"Quarterly partner funnel analysis","prompt":"Here's our Q3 partner pipeline data across two company groups — can you normalize the company_group strings and run a correlation analysis between qualified_partners and active_partners? Rows: row-1 Enterprise 2026-07-15 q=200 a=40, row-2 SMB 2026-07-15 q=150 a=25, row-3 Enterprise 2026-08-15 q=220 a=45, row-4 SMB 2026-08-15 q=160 a=28."}],"resultDescription":"Two analytical reports: one covering string normalisation of the company_group and other string fields across the submitted rows, and one covering the Pearson or equivalent two-measure correlation between qualified_partners and active_partners. Both reports are derived solely from the supplied data with no external lookups.","failureModes":["Fewer than 1 row submitted — validation error","More than 200 rows submitted — rejected with max-items error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Null values in both partner columns for all rows — correlation undefined or NaN","row_id missing or empty — required field validation error","Numeric values outside ±1,000,000,000,000 range — schema rejection"],"whenToPreferThis":"Use this endpoint when you have a structured partnership pipeline dataset (up to 200 rows) and need both string normalisation of group labels and a statistical correlation report between two partner count metrics in a single low-cost call. Prefer this over generic analytics tools when your data fits the qualified_partners/active_partners schema exactly and you want two bundled reports for $0.01 USDC without any external data enrichment or prediction.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T18:53:26.803Z","isFirstParty":false,"canonicalSlug":"partnership-pipeline-string-normalisation-and-two-measure-correlation-fb1a873e"}