{"uid":"cap_ui94MwvoX6zk_qNa6WE8a","slug":"study-recruitment-exact-row-deduplication-two-measure-correlation-fc29ffc1","name":"Study Recruitment Exact Row Deduplication + Two-Measure Correlation","description":"Study recruitment — Exact row deduplication + Two-measure correlation: Exact row deduplication + Two-measure correlation 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-09-050?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}}},"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_KLSxOO09O8PRNumrP4_z8","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":"Deduplicates exact duplicate rows and computes correlation between eligible_candidates and enrolled_candidates for up to 200 study recruitment records.","exampleAgentPrompt":"I have 150 study recruitment records with date, course_group, eligible_candidates, and enrolled_candidates fields — can you deduplicate the exact duplicate rows and also compute the correlation between eligible and enrolled candidates across those records?","exampleUseCases":[{"title":"Clean duplicate recruitment entries","prompt":"I exported our study recruitment tracker and I think there are some exact duplicate rows in there — can you deduplicate them and tell me how many were removed? I have about 80 rows with row_id, date, course_group, eligible_candidates, and enrolled_candidates."},{"title":"Correlation analysis for enrollment planning","prompt":"Can you compute the correlation between eligible_candidates and enrolled_candidates across all my course groups? I want to know if higher eligibility actually predicts higher enrollment. I have 120 rows of recruitment data."},{"title":"Data quality check before reporting","prompt":"Before I submit our quarterly recruitment report, can you run deduplication and correlation on our 200-row dataset — I need to confirm there are no duplicate records and get a sense of how strongly eligible candidates correlate with enrolled ones across dates and groups?"}],"resultDescription":"Returns two analytical reports for the submitted rows: (1) an exact row deduplication report identifying and removing fully duplicate rows, and (2) a Pearson or equivalent two-measure correlation report quantifying the statistical relationship between eligible_candidates and enrolled_candidates. No external data is fetched; all analysis is performed on the supplied rows.","failureModes":["More than 200 rows submitted — request rejected with row limit error","Missing required fields (row_id, date, eligible_candidates, enrolled_candidates) — validation error","Date field does not match YYYY-MM-DD pattern — schema validation failure","All rows are unique — deduplication report returns zero duplicates removed","Null values in eligible_candidates or enrolled_candidates may reduce correlation sample size","Payment not attached or insufficient — x402 payment required error"],"whenToPreferThis":"Choose this endpoint when you need both exact duplicate removal and a two-measure correlation analysis on study recruitment data (eligible vs enrolled candidates) in a single low-cost call. It is ideal for education or clinical research workflows where you have up to 200 rows and need offline, deterministic analytics without any external lookups or predictions. Prefer this over general-purpose analytics tools when you want a cheap, reproducible, schema-validated result on structured recruitment data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:33:56.898Z","isFirstParty":false,"canonicalSlug":"study-recruitment-exact-row-deduplication-two-measure-correlation-fc29ffc1"}