{"uid":"cap_cwF5zDkbi24xhI7cP3Uun","slug":"study-recruitment-string-normalisation-equal-width-histogram-14fac344","name":"Study Recruitment — String Normalisation + Equal-Width Histogram","description":"Study recruitment — String normalisation + Equal-width histogram: String normalisation + Equal-width histogram 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-09-031?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"bins":{"type":"integer","default":5,"maximum":30,"minimum":1},"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_azDzE_vZmPMNWOL4Pqgry","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":"Runs two local analytical reports on study recruitment data: string normalisation of course group labels and an equal-width histogram over a chosen numeric field (eligible or enrolled candidates).","exampleAgentPrompt":"I have up to 200 rows of study recruitment data with eligible_candidates and enrolled_candidates counts per course group — can you normalize the course_group strings and generate an equal-width histogram over eligible_candidates using 8 bins?","exampleUseCases":[{"title":"Candidate distribution audit for course groups","prompt":"Here are 150 rows of recruitment records for our clinical study — each has a course_group, date, eligible_candidates, and enrolled_candidates. Please normalize the course group labels and give me a 10-bin equal-width histogram of eligible_candidates so I can see how applicant volume is spread."},{"title":"Enrollment funnel frequency analysis","prompt":"I need to profile how enrolled_candidates are distributed across our study cohorts. Can you run string normalization on the group names and produce a 5-bin histogram of enrolled_candidates for these 80 recruitment records?"},{"title":"Data quality check before recruitment report","prompt":"Before I write up our recruitment summary, can you normalize the course_group strings in my 200-row dataset and show me an equal-width histogram with 7 bins for eligible_candidates so I can spot any anomalies?"}],"resultDescription":"Returns two analytical reports: (1) a string normalisation report on the course_group field, detailing cleaned/standardised label variants across up to 200 rows; and (2) an equal-width histogram report for the selected numeric field (eligible_candidates or enrolled_candidates), showing bin edges, bin counts, and frequency distribution across the specified number of bins (1–30).","failureModes":["More than 200 rows submitted — request rejected due to maxItems constraint","Invalid date format (not YYYY-MM-DD) causes row validation failure","bins value outside 1–30 range returns a validation error","Missing required fields (row_id, date, eligible_candidates, enrolled_candidates) causes row rejection","Null numeric values in the chosen field may produce sparse or incomplete histogram bins","field enum value not matching 'eligible_candidates' or 'enrolled_candidates' causes parameter error"],"whenToPreferThis":"Choose this endpoint when you need two complementary analytical passes on study recruitment tabular data in a single call: string normalisation to clean categorical group labels, and an equal-width histogram to understand numeric distribution of candidate counts. It is ideal for offline, supplied-data analysis (no live lookup or external data) with up to 200 rows, and is cost-efficient at $0.01 USDC for both reports together. Prefer this over generic analytics tools when your data is specifically structured around course groups, eligible candidates, and enrolled candidates.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T18:49:55.990Z","isFirstParty":false,"canonicalSlug":"study-recruitment-string-normalisation-equal-width-histogram-14fac344"}