{"uid":"cap_-sjDY7qnsKinQ_fucZS-s","slug":"study-recruitment-numeric-row-ordering-two-measure-correlation-bf7f3cfd","name":"Study Recruitment Numeric Row Ordering + Two-Measure Correlation","description":"Study recruitment — Numeric row ordering + Two-measure correlation: Numeric row ordering + 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-09-120?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"}}},"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_nOkZFcWxRi49f4G4tE3tS","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":"Sorts study recruitment records by numeric value and computes the Pearson/rank correlation between eligible_candidates and enrolled_candidates for up to 200 rows.","exampleAgentPrompt":"I have study recruitment data for 4 course groups with dates, eligible candidates, and enrolled candidates per row — can you sort those rows numerically by eligible_candidates and also give me the correlation between eligible and enrolled candidates across all rows?","exampleUseCases":[{"title":"Ranking cohorts by enrollment uptake","prompt":"Here are my study recruitment records for 6 course groups — each row has a date, group name, eligible count, and enrolled count. Sort them by enrolled_candidates from highest to lowest and tell me the correlation between eligible and enrolled across all rows."},{"title":"Auditing recruitment funnel efficiency","prompt":"I've got 120 rows of daily recruitment data with eligible_candidates and enrolled_candidates. Can you order them numerically by eligible_candidates and compute how strongly eligible and enrolled numbers correlate with each other?"},{"title":"Comparing group-level recruitment trends","prompt":"My team collected study sign-up data across group-a and group-b over October — rows include date, eligible count, and enrolled count. Please rank the rows by eligible_candidates and run a two-measure correlation between eligible and enrolled candidates."}],"resultDescription":"Returns two reports: (1) the input rows reordered by numeric value of the chosen field (eligible_candidates or enrolled_candidates), and (2) a two-measure correlation analysis between eligible_candidates and enrolled_candidates across all supplied rows, including the correlation coefficient and supporting statistics.","failureModes":["Fewer than 1 row supplied — rejected by minItems constraint","Row missing required fields (row_id, date, eligible_candidates, enrolled_candidates) — validation error","Date field not in YYYY-MM-DD format — pattern mismatch error","More than 200 rows supplied — rejected by maxItems constraint","All values null for one measure — correlation computation undefined","field enum value not recognized — schema validation error"],"whenToPreferThis":"Choose this endpoint when you have tabular study recruitment data (up to 200 rows) with eligible and enrolled candidate counts and need both a numeric sort/ranking of rows and a statistical correlation between the two measures in a single paid call. It is purpose-built for education/research recruitment analytics and bundles two independent analytical reports for $0.01 USDC, making it cost-efficient versus calling separate sorting and correlation services.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:33:50.990Z","isFirstParty":false,"canonicalSlug":"study-recruitment-numeric-row-ordering-two-measure-correlation-bf7f3cfd"}