{"uid":"cap_STit4Q2e3kp03QnLeFSLl","slug":"study-recruitment-daily-sum-series-two-measure-correlation-f8081169","name":"Study Recruitment Daily Sum Series + Two-Measure Correlation","description":"Study recruitment — Daily sum series + Two-measure correlation: Daily sum series + 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-09-141?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_LmI2l7QwAgOl07mtR19mH","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 a daily sum time series and a Pearson/Spearman correlation between eligible_candidates and enrolled_candidates from supplied study recruitment row data.","exampleAgentPrompt":"Can you run the daily sum series and correlation analysis on my study recruitment data? I have rows with dates from 2026-10-01 to 2026-10-04, two course groups (group-a and group-b), and both eligible_candidates and enrolled_candidates counts — use eligible_candidates as the primary field.","exampleUseCases":[{"title":"Track enrollment rate trends over time","prompt":"I have four weeks of daily recruitment records for my clinical trial with eligible_candidates and enrolled_candidates per day per group — can you compute the daily sum series and tell me how correlated eligibility is with actual enrollment?"},{"title":"Evaluate recruitment efficiency by course group","prompt":"Here's my study recruitment dataset with course groups alpha and beta over October — run the daily sum totals and a two-measure correlation between eligible and enrolled candidates so I can see which group converts better."},{"title":"Spot recruitment bottlenecks in academic program","prompt":"I've got 150 rows of daily recruitment data for our grad program with eligible_candidates and enrolled_candidates — can you produce the daily sum series focused on enrolled_candidates and also run the correlation between the two measures?"}],"resultDescription":"Returns two independent statistical reports: (1) a daily sum series aggregating the chosen measure (eligible_candidates or enrolled_candidates) by date, and (2) a correlation analysis between eligible_candidates and enrolled_candidates across all supplied rows. Results are computed locally from the submitted data with no external lookups.","failureModes":["Missing required fields (row_id, date, eligible_candidates, enrolled_candidates) cause validation errors","Input exceeding 200 rows is rejected","Malformed date strings not matching YYYY-MM-DD pattern fail schema validation","All-null values for a measure prevent correlation computation","Payment of 0.01 USDC not confirmed blocks request processing"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of study or course recruitment records with date, group, and dual numeric measures, and you need both a time-series daily aggregation and a correlation statistic in a single low-cost call. It is purpose-built for the eligible_candidates / enrolled_candidates schema and cheaper than general-purpose analytics APIs when your data fits this shape.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-28T06:47:24.953Z","isFirstParty":false,"canonicalSlug":"study-recruitment-daily-sum-series-two-measure-correlation-f8081169"}