{"uid":"cap_mhKFxjAOfwXbjKGuEzmXf","slug":"survey-participation-data-quality-ordering-reports-41db1e1f","name":"Survey Participation Data Quality & Ordering Reports","description":"Survey participation — Record quality audit + String normalisation + Numeric row ordering: Record quality audit + String normalisation + Numeric row ordering for supplied survey participation records (respondents, invitations). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-education-10-196?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"}}},"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_Cl-6dloR5ky5D20JGayr-","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 three local analytical reports on survey participation records: record quality audit, string normalisation, and numeric row ordering — up to 200 rows per call.","exampleAgentPrompt":"Can you run a quality audit, string normalisation, and numeric row ordering on my survey participation data — I have 4 rows for course groups 'group-a' and 'group-b' with dates from 2026-10-01 to 2026-10-04, and I want the reports based on the respondents field?","exampleUseCases":[{"title":"Education survey data cleanup","prompt":"I've got survey participation records for two course groups — can you audit the data quality, normalise the course_group strings, and sort the rows by number of respondents? Here are my rows: row-1 on 2026-10-01 for group-a with 10 respondents and 1 invitation, row-2 on 2026-10-02 for group-b with 20 respondents and 2 invitations."},{"title":"Invitation count ordering for survey analysis","prompt":"Please run the three standard reports — record quality audit, string normalisation, and numeric row ordering — on my survey invitation data for groups 'group-a' and 'group-b' across October 2026, and order everything by the invitations field."},{"title":"Pre-analysis data validation for course survey","prompt":"Before I analyse my course survey results, can you check the data quality and normalise the string fields for my 6 participation records? The rows include course groups like 'Group A', 'group-a', and 'GROUP A' and I need them cleaned up, plus a quality audit and row ordering by respondents."}],"resultDescription":"Three independent analytical reports: (1) a record quality audit flagging missing, invalid, or inconsistent values across the supplied rows; (2) a string normalisation report cleaning and standardising string fields such as course_group; (3) a numeric row ordering report ranking rows by the selected numeric field (respondents or invitations). All reports are computed locally with no external lookups. Up to 200 rows supported per call.","failureModes":["Fewer than 1 or more than 200 rows supplied — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Missing required fields (row_id, course_group, date, respondents, invitations) — rejected row","Invalid field enum value (not 'respondents' or 'invitations') — schema error","Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000) — validation error","Payment not provided or insufficient — 402 Payment Required"],"whenToPreferThis":"Choose this endpoint when you need three bundled analytical operations — quality audit, string normalisation, and numeric ordering — on survey participation data (respondents and invitations) in a single low-cost call. It is ideal for education or research contexts where course group survey records need pre-analysis cleaning and validation without any external data enrichment or live lookups. Prefer this over separate single-report endpoints when all three operations are needed together to reduce cost and round-trips.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T19:10:19.039Z","isFirstParty":false,"canonicalSlug":"survey-participation-data-quality-ordering-reports-41db1e1f"}