{"uid":"cap_LHKFYLFkO7M7kkYIsAf9j","slug":"survey-participation-string-normalisation-numeric-interval-filter-17a3d42f","name":"Survey Participation — String Normalisation + Numeric Interval Filter","description":"Survey participation — String normalisation + Numeric interval filter: String normalisation + Numeric interval filter 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-10-026?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_MK7TSDLz-lbhv6WbIHtG9","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 course_group strings and filters survey participation records (respondents or invitations) by a numeric min/max interval, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have a batch of survey participation records with course_group labels that need cleaning — can you normalise those strings and filter by respondents between 5 and 50? Here are 4 rows: row-1 on 2026-10-01, course group 'group-a', respondents 10, invitations 1; row-2 on 2026-10-02, 'group-b', respondents 20, invitations 2; row-3 on 2026-10-03, 'group-a', respondents 15, invitations 3; row-4 on 2026-10-04, 'group-b', respondents 30, invitations 4.","exampleUseCases":[{"title":"Filter low-response survey cohorts","prompt":"I've got 80 rows of education survey data — can you normalise the course_group names and then keep only the rows where the respondents count falls between 10 and 100? Fields are row_id, course_group, date, respondents, and invitations."},{"title":"Clean invitation data by numeric range","prompt":"Run string normalisation on the course_group field and filter by invitations between 5 and 200 for these survey records — I want two reports showing what passes the filter and what the cleaned labels look like."},{"title":"Validate survey participation thresholds","prompt":"I need to check which of my 150 survey participation rows have respondent counts between 25 and 500 — please normalise the course_group strings and give me the filtered reports."}],"resultDescription":"Two analytical reports: one covering string-normalised course_group values across the supplied rows, and one showing records where the chosen numeric field (respondents or invitations) falls within the specified min–max interval. Reports are computed locally with no external lookups.","failureModes":["Rows array empty or missing — validation error","More than 200 rows supplied — rejected with maxItems error","Date field not matching YYYY-MM-DD pattern — schema validation failure","minimum value greater than maximum value — may return empty filter result","Numeric field values outside ±1,000,000,000,000 — rejected by schema","Invalid field enum value (not 'respondents' or 'invitations') — schema error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 survey participation records that need both string normalisation on course_group labels and numeric interval filtering on respondents or invitations in a single $0.01 call. It is ideal for lightweight education survey analytics where no live data lookup, prediction, or external integration is needed — just deterministic, local computation on supplied data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-04T18:50:23.570Z","isFirstParty":false,"canonicalSlug":"survey-participation-string-normalisation-numeric-interval-filter-17a3d42f"}