{"uid":"cap_TDpB8YUZavebDK224mxma","slug":"survey-participation-data-quality-analytics-audit-normalisation-637655d6","name":"Survey Participation Data Quality & Analytics — Audit, Normalisation & Trailing Mean","description":"Survey participation — Record quality audit + String normalisation + Trailing mean series: Record quality audit + String normalisation + Trailing mean series 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-10-199?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"},"window":{"type":"integer","default":2,"maximum":200,"minimum":2}}},"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_Nay2Y8bVv6wXSmfUs_JeE","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 data: record quality audit, string normalisation, and trailing mean series for respondents or invitations across up to 200 rows.","exampleAgentPrompt":"Can you audit the quality of my survey participation records, normalise the course_group strings, and compute a 4-row trailing mean on the respondents field? I have about 80 rows covering groups like 'group-a' and 'group-b' with dates from 2026-10-01 onward.","exampleUseCases":[{"title":"Course response rate rolling average","prompt":"I have weekly survey participation data for three course groups — can you compute a 5-row trailing mean on the respondents column and also check the records for any quality issues and normalise the group name strings?"},{"title":"Invitation data quality check for education team","prompt":"Can you run a record quality audit and string normalisation on these 120 rows of survey invitation data, grouped by course group, and also give me a trailing mean with a window of 3 for the invitations field?"},{"title":"Pre-analysis data cleaning for survey dataset","prompt":"Before I analyse my survey participation results, can you audit the data quality, normalise the course_group labels, and compute a trailing mean of respondents with a window of 6 — I have about 50 rows covering dates in late 2026?"}],"resultDescription":"Returns three independent analytical reports generated locally: (1) a record quality audit flagging issues in the supplied rows, (2) normalised string values for the course_group and other string fields, and (3) a trailing mean series for the selected numeric field (respondents or invitations) computed over the specified window size. All processing is performed on the supplied data with no external lookups.","failureModes":["Fewer than 1 row or more than 200 rows supplied — rejected with validation error","Missing required fields (row_id, course_group, date, respondents, invitations) on any row","Date strings not matching YYYY-MM-DD pattern — schema validation failure","Window size less than 2 or greater than 200 — rejected","Invalid field enum value (must be 'respondents' or 'invitations')","Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000)","Payment not attached or insufficient USDC amount — 402 response"],"whenToPreferThis":"Choose this endpoint when you need all three of record quality audit, string normalisation, and trailing mean series applied to survey participation data (respondents and invitations) in a single low-cost call. It is ideal for pre-analysis data cleaning workflows on education or course-group survey datasets of up to 200 rows where no external data enrichment or live prediction is needed. At $0.01 per call covering three reports, it is cost-efficient compared to calling separate single-report endpoints.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T19:12:03.239Z","isFirstParty":false,"canonicalSlug":"survey-participation-data-quality-analytics-audit-normalisation-637655d6"}