{"uid":"cap_hvkB97hNGXtXFcvxOSvRv","slug":"partnership-pipeline-string-normalisation-date-by-category-pivot-c6438f47","name":"Partnership Pipeline — String Normalisation + Date by Category Pivot","description":"Partnership pipeline — String normalisation + Date by category pivot: String normalisation + Date by category pivot 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-09-035?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"}}},"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_VKFpjM9JUGblX6anljP3U","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 pivots a numeric partnership metric (qualified_partners or active_partners) by date and category for up to 200 supplied rows, returning two analytical reports.","exampleAgentPrompt":"Can you normalise the company group strings and pivot the qualified_partners figures by date and company group for these partnership records — I have 4 rows covering group-a and group-b from 2026-10-01 to 2026-10-04?","exampleUseCases":[{"title":"Monthly partner count pivot by group","prompt":"I have 50 rows of partnership pipeline data across three company groups and several months. Can you normalise the company group names and give me a pivot of qualified_partners by date and group so I can see trends?"},{"title":"Active partner summary for a quarterly review","prompt":"Take these 120 partnership records and produce two reports: one that cleans up the company group strings and one that pivots active_partners by date and category — I need this for a quarterly business review."},{"title":"Data cleaning before CRM import","prompt":"Before I import this partner pipeline data into our CRM, can you normalise the string fields and pivot qualified_partners by date and company group to check for gaps or anomalies across group-a and group-b?"}],"resultDescription":"Two analytical reports derived from the supplied rows: (1) a string-normalisation report cleaning company_group and related text fields, and (2) a date-by-category pivot table showing the selected numeric metric (qualified_partners or active_partners) broken down by date and company_group. No external data is fetched; all computation is performed on the provided rows.","failureModes":["Fewer than 1 row or more than 200 rows supplied — request rejected","Missing required fields (row_id, company_group, date, qualified_partners, active_partners) on any row — validation error","Date values not matching YYYY-MM-DD pattern — schema validation failure","Numeric values outside ±1,000,000,000,000 range — rejected","Invalid field enum value (must be 'qualified_partners' or 'active_partners') — error","Payment of 0.01 USDC not completed — 402 Payment Required"],"whenToPreferThis":"Choose this endpoint when you have partnership pipeline data (with qualified_partners and active_partners fields) and need both string normalisation and a date-by-category pivot in a single low-cost call. It is ideal for pre-processing partner data before CRM imports, generating pivot summaries for reporting, or cleaning categorical labels — all without any external lookups or predictions. Best suited for batch sizes up to 200 rows at a fixed cost of $0.01 USDC.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T12:51:22.265Z","isFirstParty":false,"canonicalSlug":"partnership-pipeline-string-normalisation-date-by-category-pivot-c6438f47"}