{"uid":"cap_V9LB5n4SkJz9V58rsi2Ct","slug":"partnership-pipeline-string-normalisation-and-numeric-row-ordering-ce0d5f13","name":"Partnership Pipeline String Normalisation and Numeric Row Ordering","description":"Partnership pipeline — String normalisation + Numeric row ordering: String normalisation + Numeric row ordering 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-09-025?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_iA0YD55id2aLvilmTROhL","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 company_group strings and rank-orders rows by a chosen numeric partnership metric (qualified_partners or active_partners) for up to 200 supplied partnership pipeline records, producing two analytical reports per call.","exampleAgentPrompt":"I have partnership pipeline records for two company groups — group-a and group-b — with dates from 2026-10-01 to 2026-10-04 and counts for both qualified_partners and active_partners. Can you normalise the company_group strings and sort all the rows by qualified_partners, then give me the two reports?","exampleUseCases":[{"title":"Clean and rank partner pipeline by qualified count","prompt":"Here are 50 rows from our partner pipeline with company group names that have inconsistent casing and spacing — can you normalise those strings and rank all rows by qualified_partners so I can see who's converting best?"},{"title":"Sort active partner data for a quarterly review","prompt":"I'm preparing a quarterly review and need our partnership rows sorted by active_partners with the company_group names cleaned up. I have about 120 records across group-a and group-b with dates in Q4 2026 — can you run the two reports?"},{"title":"Standardise partner data before importing to CRM","prompt":"Before I import this into our CRM, I want to normalise the company group strings and get the rows ranked by active_partners — there are 80 partnership records with row IDs, dates, and both qualified and active partner counts included."}],"resultDescription":"Two independent analytical reports: one covering string-normalised company_group values across all submitted rows, and one covering the same rows ranked in numeric order by the selected partnership metric (qualified_partners or active_partners). No external lookups or predictions are included — all analysis is performed on the supplied data only.","failureModes":["Fewer than 1 row or more than 200 rows submitted — request rejected","date field does not match YYYY-MM-DD pattern — validation error","qualified_partners or active_partners value outside ±1,000,000,000,000 — rejected","row_id missing or empty — schema validation failure","field enum value not one of qualified_partners or active_partners — error","Malformed JSON body — parse error"],"whenToPreferThis":"Choose this endpoint when you have raw partnership pipeline records that need both string normalisation of company group labels and numeric ordering by a partner count metric in a single cheap call. It is purpose-built for partnership/CRM pipeline data with exactly these five fields and produces two reports per call at $0.01 USDC — ideal for pre-CRM-import cleanup or periodic pipeline reviews on batches up to 200 rows. Prefer alternatives if you need live data lookups, predictive scoring, or processing more than 200 rows at once.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T18:53:44.267Z","isFirstParty":false,"canonicalSlug":"partnership-pipeline-string-normalisation-and-numeric-row-ordering-ce0d5f13"}