{"uid":"cap_Z_umfU4kAm2Aq9Z0T_w02","slug":"study-recruitment-row-change-analysis-missing-value-fill-4dec927f","name":"Study Recruitment Row-Change Analysis & Missing-Value Fill","description":"Study recruitment — Adjacent row changes + Explicit missing-value fill: Adjacent row changes + Explicit missing-value fill for supplied study recruitment records (eligible_candidates, enrolled_candidates). 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-education-09-162?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","course_group","date","eligible_candidates","enrolled_candidates"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"course_group":{"type":"string","default":"","maxLength":80},"eligible_candidates":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"enrolled_candidates":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","course_group":"group-a","eligible_candidates":10,"enrolled_candidates":1},{"date":"2026-10-02","row_id":"row-2","course_group":"group-b","eligible_candidates":20,"enrolled_candidates":2},{"date":"2026-10-03","row_id":"row-3","course_group":"group-a","eligible_candidates":15,"enrolled_candidates":3},{"date":"2026-10-04","row_id":"row-4","course_group":"group-b","eligible_candidates":30,"enrolled_candidates":4}],"maxItems":200,"minItems":1},"field":{"enum":["eligible_candidates","enrolled_candidates"],"type":"string","default":"eligible_candidates"},"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_mkqkE1r_ML8EMv87hx3dG","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 for study recruitment data (eligible_candidates, enrolled_candidates) across up to 200 rows, returning two independent analytical reports.","exampleAgentPrompt":"I have study recruitment records for two course groups over four dates — can you compute the adjacent row changes and fill any missing eligible_candidates values using median imputation? Here are up to 200 rows with row_id, course_group, date, eligible_candidates, and enrolled_candidates.","exampleUseCases":[{"title":"Clinical trial enrollment trend analysis","prompt":"I've got daily recruitment records for our Phase 2 trial with eligible_candidates and enrolled_candidates per course group — can you run an adjacent row change report so I can see how enrollment shifted day over day, and fill any missing eligible_candidates values using median?"},{"title":"Course cohort missing-data imputation","prompt":"My study recruitment spreadsheet has some null values in the enrolled_candidates column across about 150 rows grouped by course group and date — can you fill those missing values using mean imputation and also show me how the row counts changed between adjacent rows?"},{"title":"Multi-group recruitment data audit","prompt":"I have 80 rows of recruitment data across group-a and group-b from October 2026, and I need both a row-change delta report and a zero-fill for any missing eligible_candidates — can you run those two reports for me?"}],"resultDescription":"Returns two independent analytical reports: (1) an adjacent row change report showing the delta between consecutive rows for the specified field, and (2) a missing-value fill report where nulls in the target field are replaced using the chosen method (zero, mean, or median). Both reports are computed locally on the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — request rejected","Invalid date format (must be YYYY-MM-DD) — validation error","Unknown fill method value outside zero/mean/median enum — error","Missing required fields (row_id, date) — schema validation failure","Numeric values outside allowed range (±1,000,000,000,000) — rejected","Empty rows array — minimum items constraint violation"],"whenToPreferThis":"Use this endpoint when you need both sequential row-change analysis and missing-value imputation on study recruitment data (eligible_candidates and enrolled_candidates) in a single low-cost call. It is purpose-built for educational or clinical recruitment datasets with a date+course_group structure and supports up to 200 rows. Prefer it over general-purpose analytics tools when you want a fast, cheap, deterministic computation with no external data dependencies.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-28T12:42:13.142Z","isFirstParty":false,"canonicalSlug":"study-recruitment-row-change-analysis-missing-value-fill-4dec927f"}