{"uid":"cap_4lV_8Uyj1g83ozw1eaaxz","slug":"survey-participation-string-normalisation-and-two-measure-correlation-274cedf3","name":"Survey Participation String Normalisation and Two-Measure Correlation","description":"Survey participation — String normalisation + Two-measure correlation: String normalisation + Two-measure correlation for supplied survey participation records (respondents, invitations). 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-10-033?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","course_group","date","respondents","invitations"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"invitations":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"respondents":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"course_group":{"type":"string","default":"","maxLength":80}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","invitations":1,"respondents":10,"course_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","invitations":2,"respondents":20,"course_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","invitations":3,"respondents":15,"course_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","invitations":4,"respondents":30,"course_group":"group-b"}],"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_IfSO6w5UVaRPGXtvVxRKC","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":"Normalises string fields and computes two-measure correlation between respondents and invitations for up to 200 survey participation records, producing two analytical reports.","exampleAgentPrompt":"Can you normalise the course group strings and run a two-measure correlation between respondents and invitations for my survey participation data — I have 4 rows across groups A and B from October 2026?","exampleUseCases":[{"title":"Education survey response rate analysis","prompt":"I have weekly survey participation data for two course groups from October 2026 — can you normalise the group name strings and tell me how strongly the number of invitations correlates with the number of respondents across all 200 rows?"},{"title":"Course group participation quality check","prompt":"We sent out invitations and tracked respondents for our online courses by group and date. Can you clean up the course_group labels and compute a two-measure correlation between invitations and respondents so I can see which groups have the strongest uptake pattern?"},{"title":"Survey campaign effectiveness reporting","prompt":"I need two analytical reports on my survey campaign data: one normalising the string fields like course_group and row_id, and one showing the correlation between invitations sent and respondents collected across dates. I have about 150 rows to analyse."}],"resultDescription":"Two local analytical reports: (1) normalised string fields for course_group and related text columns across the supplied rows, and (2) a two-measure correlation result quantifying the statistical relationship between respondents and invitations across up to 200 input rows. No external lookups or predictions are made.","failureModes":["More than 200 rows submitted — request rejected or truncated","Missing required fields (row_id, course_group, date, respondents, or invitations) cause validation errors","Invalid date format (not YYYY-MM-DD) causes schema rejection","Null or extreme numeric values for respondents/invitations may affect correlation reliability","Insufficient data variance causes correlation to be undefined or degenerate"],"whenToPreferThis":"Choose this endpoint when you have tabular survey participation data with respondent and invitation counts per course group and date, and need both string normalisation and a two-measure correlation in a single low-cost call. Ideal for education analytics pipelines processing up to 200 rows without requiring live data lookups, predictions, or external enrichment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-03T12:42:36.888Z","isFirstParty":false,"canonicalSlug":"survey-participation-string-normalisation-and-two-measure-correlation-274cedf3"}