{"uid":"cap_HcC2g8sylDGMYgH5Bf7Pv","slug":"study-recruitment-string-normalisation-adjacent-row-changes-4408279a","name":"Study Recruitment String Normalisation & Adjacent Row Changes","description":"Study recruitment — String normalisation + Adjacent row changes: String normalisation + Adjacent row changes 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-09-029?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_gORteqfD41ZBypn3qRPGe","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 analytical reports on study recruitment data: string normalisation and adjacent row changes for eligible_candidates or enrolled_candidates across up to 200 rows.","exampleAgentPrompt":"Can you run the string normalisation and adjacent row changes reports on my study recruitment data? I have 4 rows with course groups group-a and group-b, dates from 2026-10-01 to 2026-10-04, and I want to analyze the eligible_candidates field.","exampleUseCases":[{"title":"Daily eligible candidate delta audit","prompt":"I need to check how the number of eligible candidates is changing day over day across my study recruitment records — can you run the adjacent row changes report on these 10 rows of recruitment data for the eligible_candidates field?"},{"title":"Course group label normalisation","prompt":"My recruitment dataset has inconsistent course group strings like 'Group A', 'group-a', and 'GROUP A' — can you run the string normalisation report on these 50 rows so I can see what needs cleaning?"},{"title":"Enrolled candidate trend comparison","prompt":"Can you analyze my enrolled_candidates figures across 30 rows of study recruitment records and show me both the string-normalised values and the row-to-row changes so I can spot any sudden drops or spikes?"}],"resultDescription":"Two independent analytical reports per call: (1) string normalisation output flagging or standardising text values in the dataset, and (2) adjacent row changes showing numeric deltas between consecutive rows for the selected metric (eligible_candidates or enrolled_candidates). Covers up to 200 input rows per call.","failureModes":["Rows array empty or missing — validation error returned","More than 200 rows submitted — request rejected with max-items error","Invalid date format (not YYYY-MM-DD) — pattern validation failure","Missing required fields (row_id, course_group, date) — schema validation error","Null numeric values may affect delta calculations in adjacent row changes report","Invalid field enum value — rejected with enum validation error"],"whenToPreferThis":"Choose this endpoint when you have study recruitment tabular data (up to 200 rows) and need both string normalisation and adjacent-row-change analytics in a single low-cost call. It is purpose-built for course/group-level recruitment records with eligible and enrolled candidate counts, and bundles two reports for $0.01 USDC. Prefer it over general-purpose analytics tools when your data conforms to the row_id/course_group/date/eligible_candidates/enrolled_candidates schema and you want offline, supply-only analysis with no external lookups or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T18:50:16.087Z","isFirstParty":false,"canonicalSlug":"study-recruitment-string-normalisation-adjacent-row-changes-4408279a"}