{"uid":"cap_FT6RNBHXrRLR9sfBHDeyD","slug":"survey-participation-record-quality-audit-and-numeric-interval-filter-39c6c451","name":"Survey Participation Record Quality Audit and Numeric Interval Filter","description":"Survey participation — Record quality audit + Numeric interval filter: Record quality audit + 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-10-008?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_OFD-ophMiTjJ3z8U1D-FB","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":"Audits data quality and filters by numeric interval for survey participation records (respondents and invitations) across up to 200 rows, returning two analytical reports.","exampleAgentPrompt":"Can you audit the data quality of my survey participation records and also filter to only show rows where respondents are between 5 and 50? Here are the rows: row-1, group-a, 2026-10-01, 10 respondents, 1 invitation; row-2, group-b, 2026-10-02, 20 respondents, 2 invitations.","exampleUseCases":[{"title":"Education survey response rate audit","prompt":"I have survey participation data for two course groups over four dates — can you audit the record quality and also show me which rows have respondents between 10 and 30? The data is: row-1, group-a, 2026-10-01, respondents 10, invitations 100; row-2, group-b, 2026-10-02, respondents 25, invitations 200; row-3, group-a, 2026-10-03, respondents 5, invitations 150."},{"title":"Invitation count range check for survey rollout","prompt":"Can you check the quality of our survey invitation records and filter to find rows where the invitation count falls between 50 and 500? Here are the rows from our rollout: row-1, cohort-1, 2026-09-01, invitations 75, respondents 30; row-2, cohort-2, 2026-09-02, invitations 600, respondents 80; row-3, cohort-3, 2026-09-03, invitations 200, respondents 45."},{"title":"Data cleaning for survey analytics pipeline","prompt":"Before I run my analysis, can you do a record quality audit on these 5 survey participation rows and also filter for respondents between 0 and 100? Rows: row-1, groupX, 2026-11-01, respondents null, invitations 50; row-2, groupY, 2026-11-02, respondents 80, invitations 200; row-3, groupX, 2026-11-03, respondents 120, invitations 300; row-4, groupY, 2026-11-04, respondents 40, invitations null; row-5, groupX, 2026-11-05, respondents 60, invitations 80."}],"resultDescription":"Two analytical reports: (1) a record quality audit identifying issues such as nulls, invalid dates, or out-of-range values in the supplied survey participation rows, and (2) a numeric interval filter report listing which rows have values for the chosen field (respondents or invitations) falling within the specified minimum and maximum bounds. Both reports are generated locally without external lookups.","failureModes":["More than 200 rows submitted — exceeds maximum batch size","Missing required fields (row_id, course_group, date, respondents, invitations) in one or more rows","Date field does not match YYYY-MM-DD format — validation error","Minimum value greater than maximum value — invalid filter range","Field enum value not one of 'respondents' or 'invitations' — invalid field selection","Empty rows array submitted — minItems violation"],"whenToPreferThis":"Choose this endpoint when you need both a data quality audit and a numeric range filter on survey participation data (respondents or invitations) in a single call for up to 200 rows, without requiring any external data sources or live lookups. It is especially useful for education or market research workflows where you want to validate record completeness and flag out-of-range participation counts before downstream analysis.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T12:39:43.976Z","isFirstParty":false,"canonicalSlug":"survey-participation-record-quality-audit-and-numeric-interval-filter-39c6c451"}