{"uid":"cap_uuF5Wti4nk0isTue2Kb_X","slug":"partnership-pipeline-string-normalisation-adjacent-row-changes-8612c59a","name":"Partnership Pipeline — String Normalisation + Adjacent Row Changes","description":"Partnership pipeline — String normalisation + Adjacent row changes: String normalisation + Adjacent row changes 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-09-029?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_t88-UxkbogWoZlGQDlzPw","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":"Performs string normalisation and adjacent-row change analysis on partnership pipeline records (qualified_partners, active_partners) for up to 200 rows, returning two independent analytical reports.","exampleAgentPrompt":"Can you run string normalization and adjacent row change analysis on my partnership pipeline data? I have rows for group-a and group-b from 2026-10-01 to 2026-10-04 with qualified_partners values of 10, 20, 15, 30 — use qualified_partners as the target field and give me both reports.","exampleUseCases":[{"title":"Detecting partner count shifts over time","prompt":"I have 50 rows of partnership pipeline data with dates, company groups, and qualified_partners counts — can you normalize the string fields and show me the adjacent row changes so I can spot any sudden drops or spikes between periods?"},{"title":"Cleaning messy company group labels","prompt":"My partnership pipeline export has inconsistent company group names and I need them standardized. Can you run string normalization on these 30 rows and also compute period-to-period changes in active_partners for each entry?"},{"title":"Comparing consecutive weeks of active partners","prompt":"I want to compare consecutive weeks of active partner counts across our regional groups. Here are 80 rows with dates and active_partners values — please normalize the strings and give me the adjacent row change report using active_partners as the field."}],"resultDescription":"Returns two independent analytical reports: (1) a string normalisation report that cleans and standardises text fields in the supplied rows, and (2) an adjacent row changes report that computes period-over-period differences for the selected numeric field (qualified_partners or active_partners) across up to 200 input rows, all processed locally without external lookups.","failureModes":["Missing required fields (row_id, date, company_group) causes validation error","Date values not matching YYYY-MM-DD pattern are rejected","More than 200 rows submitted exceeds the maxItems limit","Null or out-of-range numeric values for qualified_partners or active_partners may produce incomplete change calculations","Invalid field enum value (anything other than qualified_partners or active_partners) causes a schema error"],"whenToPreferThis":"Choose this endpoint when you need both string normalisation and adjacent-row delta computation on partnership pipeline data in a single low-cost call. It is purpose-built for qualified_partners and active_partners metrics, processes up to 200 rows locally without external dependencies, and delivers two distinct reports per call for $0.01 USDC. Prefer it over general-purpose analytics when you need lightweight, deterministic pipeline hygiene and change detection without live lookups or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T18:53:19.487Z","isFirstParty":false,"canonicalSlug":"partnership-pipeline-string-normalisation-adjacent-row-changes-8612c59a"}