{"uid":"cap_Vd6Da0uSUGQAN2jM93tpo","slug":"survey-participation-data-quality-suite-record-audit-string-ddaf15f6","name":"Survey Participation Data Quality Suite: Record Audit + String Normalisation + Dataset Comparison","description":"Survey participation — Record quality audit + String normalisation + Keyed dataset comparison: Record quality audit + String normalisation + Keyed dataset comparison 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-10-207?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}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"invitations":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"respondents":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"course_group":{"type":"string","default":"","maxLength":80}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","invitations":1,"respondents":10,"course_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","invitations":2,"respondents":20,"course_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","invitations":3,"respondents":15,"course_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","invitations":4,"respondents":30,"course_group":"group-b"}],"maxItems":200,"minItems":1},"other":{"type":"array","items":{"type":"object","required":["row_id","course_group","date","respondents","invitations"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","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":21,"course_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","invitations":3,"respondents":17,"course_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","invitations":4,"respondents":33,"course_group":"group-b"}],"maxItems":200,"minItems":0}}},"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_oQJEbvuU7KUzaTcCru1O5","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 analytical reports on survey participation records (respondents and invitations): a record quality audit, string normalisation, and keyed dataset comparison between two supplied datasets.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and keyed dataset comparison on these two sets of survey participation records? The primary dataset has rows for course groups A and B from October 2026, and the comparison dataset has the same row IDs but slightly different respondent counts — up to 200 rows total.","exampleUseCases":[{"title":"Pre-analysis survey data validation","prompt":"Before I run my analysis, can you audit the quality of these survey participation records for our autumn 2026 courses? I have up to 150 rows with respondent and invitation counts per course group — check for missing values, bad formats, and normalise the course group strings."},{"title":"Detecting dataset version discrepancies","prompt":"I have two exports of our survey participation data — one from last week and one from today — both keyed by row ID with respondent and invitation counts per course group. Can you compare them and tell me which rows changed?"},{"title":"Education survey data clean-up","prompt":"Our survey team submitted participation data for course groups Alpha, alpha, and ALPHA across different dates — can you normalise those strings and flag any quality issues in the respondent and invitation numbers across these 80 rows?"}],"resultDescription":"Returns three independent reports: (1) a record quality audit identifying missing, null, or out-of-range values in respondent/invitation fields; (2) string normalisation results for course group labels; and (3) a keyed dataset comparison highlighting rows that differ between the primary and comparison datasets, all computed locally without external lookups.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, course_group, date, respondents, invitations) — validation error","Malformed date strings not matching YYYY-MM-DD pattern — schema validation failure","Both 'rows' and 'other' arrays required for comparison report — incomplete input","Numeric values outside allowed range — validation error","Payment of 0.01 USDC not completed — 402 Payment Required response"],"whenToPreferThis":"Choose this endpoint when you need three simultaneous data quality operations on survey participation records in a single $0.01 call: a quality audit, string normalisation, and a keyed comparison between two dataset versions. It is ideal for education-domain survey data with course group segmentation and respondent/invitation counts, up to 200 rows, where no external lookups or live data sources are needed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-04T18:50:29.195Z","isFirstParty":false,"canonicalSlug":"survey-participation-data-quality-suite-record-audit-string-ddaf15f6"}