{"uid":"cap_iDpLytMrp0hQ8sUpEtQEX","slug":"partnership-pipeline-string-normalisation-category-frequencies-8b4b0caa","name":"Partnership Pipeline — String Normalisation + Category Frequencies","description":"Partnership pipeline — String normalisation + Category frequencies: String normalisation + Category frequencies 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-09-024?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_p_HDeHG6RoLDXhTlCAPsZ","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 strings and computes category frequencies for up to 200 partnership pipeline records (qualified_partners, active_partners) in two independent analytical reports.","exampleAgentPrompt":"Can you run string normalisation and category frequency analysis on my partnership pipeline data? I have 4 rows: row-1 on 2026-10-01 for group-a with 10 qualified and 1 active partner, row-2 on 2026-10-02 for group-b with 20 qualified and 2 active, row-3 on 2026-10-03 for group-a with 15 qualified and 3 active, and row-4 on 2026-10-04 for group-b with 30 qualified and 4 active.","exampleUseCases":[{"title":"Partner group frequency breakdown","prompt":"I have partnership pipeline records across two company groups — group-a and group-b — covering Q4 2026. Can you tell me how often each group appears and normalise the group name strings? Here are the rows: row-1 (2026-10-01, group-a, 10 qualified, 1 active), row-2 (2026-10-02, group-b, 20 qualified, 2 active), row-3 (2026-10-03, group-a, 15 qualified, 3 active)."},{"title":"Cleaning inconsistent partner category labels","prompt":"Our CRM exported partnership pipeline data but the company_group strings have inconsistent capitalisation and spacing. Can you normalise those strings and give me a category frequency count for the groups? I'll send you up to 50 rows with columns: row_id, date, company_group, qualified_partners, active_partners."},{"title":"Weekly partner pipeline summary report","prompt":"Every Monday I want a two-part report on last week's partner pipeline: string normalisation on the company group names plus a frequency table showing how many records fall into each group category. I have 120 rows from 2026-09-28 to 2026-10-04 across groups like enterprise, mid-market, and smb — can you run both analyses?"}],"resultDescription":"Returns two independent analytical reports for the supplied rows: (1) a string normalisation report cleaning and standardising the company_group and other string fields, and (2) a category frequency report counting how often each category value (e.g. company_group) appears across the submitted records. No external lookups or predictions are made; all computation is performed locally on the supplied data.","failureModes":["Fewer than 1 row submitted — minimum 1 row required","More than 200 rows submitted — batch limit exceeded","Missing required fields (row_id, company_group, date, qualified_partners, active_partners) — validation error","Date field not in YYYY-MM-DD format — pattern validation failure","Numeric fields outside allowed range (-1e12 to 1e12) — schema rejection","Payment not attached or insufficient — x402 payment required error"],"whenToPreferThis":"Choose this endpoint when you need both string normalisation and categorical frequency analysis on partnership pipeline data (qualified_partners, active_partners) in a single low-cost call. It is ideal for batch preprocessing of up to 200 CRM or pipeline export rows where you want clean group labels and a frequency breakdown without needing live data lookups, predictions, or external enrichment. If you only need one of the two reports, or if your dataset exceeds 200 rows, a different endpoint may be more appropriate.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:39:07.363Z","isFirstParty":false,"canonicalSlug":"partnership-pipeline-string-normalisation-category-frequencies-8b4b0caa"}