{"uid":"cap_kCU5wK5NLs0oW7dqUXCoN","slug":"survey-participation-numeric-interval-filter-two-measure-correlation-3897d775","name":"Survey Participation — Numeric Interval Filter + Two-Measure Correlation","description":"Survey participation — Numeric interval filter + Two-measure correlation: Numeric interval filter + 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-10-131?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},"field":{"enum":["respondents","invitations"],"type":"string","default":"respondents"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_wM7ghBukyRFdTcUHFuqIr","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":"Filters survey participation rows by a numeric range on a chosen measure and computes a two-measure correlation (respondents vs. invitations) across up to 200 supplied rows, returning two independent analytical reports.","exampleAgentPrompt":"I have survey participation data for my education program — can you filter rows where respondents are between 10 and 150, then compute the correlation between respondents and invitations across all my course groups? I'll supply up to 80 rows.","exampleUseCases":[{"title":"Course group response rate analysis","prompt":"I've got participation records for 5 course groups over the last quarter. Can you filter the rows where respondent counts fall between 20 and 200, and then tell me how correlated the respondent numbers are with the invitation counts?"},{"title":"Low-engagement cohort identification","prompt":"Can you filter my survey data to only show rows where invitations sent were between 50 and 300, and then run a two-measure correlation between invitations and respondents so I can see if more invites actually drive more responses?"},{"title":"Education program survey audit","prompt":"I have 150 rows of survey participation data across several education programs. Please filter to rows where respondents are between 5 and 100 and give me a correlation report between respondents and invitations — I need two separate analytical reports from this batch."}],"resultDescription":"Returns two independent analytical reports: (1) the filtered subset of rows where the chosen measure (respondents or invitations) falls within the specified numeric interval [minimum, maximum], and (2) a two-measure correlation analysis between respondents and invitations across the supplied dataset, all computed locally without any external lookups.","failureModes":["Input array exceeds 200 rows — request will be rejected or truncated","Invalid date format (not YYYY-MM-DD) causes row validation failure","Minimum greater than maximum causes empty or erroneous filter result","Null values in respondents or invitations fields may reduce correlation sample size","Missing required fields (row_id, course_group, date, respondents, invitations) cause row rejection","Insufficient numeric variance in data yields undefined or degenerate correlation"],"whenToPreferThis":"Choose this endpoint when you have pre-collected survey participation records (up to 200 rows) and need both a numeric range filter on respondents or invitations AND a Pearson/two-measure correlation between those two measures in a single low-cost call. It is ideal for education analytics workflows where you want two bundled statistical reports without any external data fetching or live prediction.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T12:41:02.845Z","isFirstParty":false,"canonicalSlug":"survey-participation-numeric-interval-filter-two-measure-correlation-3897d775"}