{"uid":"cap_yJHJcBQCOV6Zv_KatlziV","slug":"partnership-pipeline-adjacent-row-changes-explicit-missing-value-fill-b67034ea","name":"Partnership Pipeline — Adjacent Row Changes + Explicit Missing-Value Fill","description":"Partnership pipeline — Adjacent row changes + Explicit missing-value fill: Adjacent row changes + Explicit missing-value fill 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-09-162?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"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_lxHEa0_-cG_L-nwgNSLT-","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":"Computes adjacent-row changes and fills missing values (zero/mean/median) for partnership pipeline metrics (qualified_partners, active_partners) across up to 200 supplied rows.","exampleAgentPrompt":"Can you run the adjacent row change and missing-value fill reports (using median fill) on my qualified_partners pipeline data? Here are 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 null qualified and 3 active, group-b on 2026-10-04 had 30 qualified and null active.","exampleUseCases":[{"title":"Audit partner count shifts over time","prompt":"I have weekly partnership pipeline snapshots for three company groups across 12 weeks and I need to see how qualified_partners changed row by row — can you run the adjacent row change report on all of them?"},{"title":"Impute missing active partner values","prompt":"My active_partners column has several nulls scattered through my pipeline data for October — fill them using the median of the available values and give me the corrected dataset."},{"title":"Combined pipeline QA for two metrics","prompt":"Run both reports on my partnership pipeline — adjacent row changes and median-based missing-value fill — targeting qualified_partners for 50 rows across our enterprise and SMB groups so I can spot data gaps and sudden shifts at the same time."}],"resultDescription":"Returns two independent analytical reports: (1) an adjacent-row change report showing the delta between consecutive row values for the selected field, and (2) a missing-value fill report where null values are replaced using the chosen method (zero, mean, or median). Both reports are derived entirely from the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — request exceeds maxItems limit","Missing required fields (row_id, date, company_group) — validation error","Invalid date format not matching YYYY-MM-DD — schema rejection","Invalid fill method or field enum value — schema rejection","All values in selected field are null — mean/median fill may be undefined","Fewer than 1 row submitted — minItems violation"],"whenToPreferThis":"Choose this endpoint when you have tabular partnership pipeline data with sequential rows and need to (a) detect row-over-row changes in partner counts or (b) impute missing numeric values using statistical methods — all from your own supplied data without any external API calls, live lookups, or predictions. Best for data QA, pipeline auditing, and preprocessing tasks on datasets up to 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:40:51.096Z","isFirstParty":false,"canonicalSlug":"partnership-pipeline-adjacent-row-changes-explicit-missing-value-fill-b67034ea"}