{"uid":"cap_J1peOJbdQ0AYlRQaSvuZy","slug":"survey-participation-analytics-string-normalisation-numeric-25373271","name":"Survey Participation Analytics — String Normalisation & Numeric Distribution","description":"Survey participation — String normalisation + Numeric distribution: String normalisation + Numeric distribution 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-10-022?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_OsOOU2OCZdMynL5JZfbGP","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 string fields and computes numeric distribution statistics for survey participation data (respondents and invitations) across up to 200 rows, returning two analytical reports.","exampleAgentPrompt":"Can you normalize the course group strings and compute the numeric distribution for the respondents field across these 4 survey participation records: 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, row-3 on 2026-10-03 for group-a with 15 respondents and 3 invitations, and row-4 on 2026-10-04 for group-b with 30 respondents and 4 invitations?","exampleUseCases":[{"title":"Monthly survey response rate analysis","prompt":"I have 50 rows of monthly survey participation records across different course groups — can you normalize the course group name strings and give me a numeric distribution breakdown for the respondents field so I can see how responses are spread out?"},{"title":"Invitation volume distribution check","prompt":"Run string normalisation and numeric distribution on these 30 survey records for my education program — I want to analyze the invitations field to understand how invitation counts are distributed across groups and dates."},{"title":"Cross-group survey data cleanup","prompt":"I collected survey participation data for 100 rows across group-a and group-b over Q4 — can you normalize the string fields and compute the numeric distribution for the respondents column so I can spot patterns before writing my report?"}],"resultDescription":"Two analytical reports: (1) a string normalisation report covering the course_group and related text fields across all submitted rows, and (2) a numeric distribution report for the selected field (respondents or invitations), including statistical distribution metrics. Both reports are computed locally with no external lookups.","failureModes":["More than 200 rows submitted — request exceeds maxItems limit","Missing required fields (row_id, course_group, date, respondents, invitations) — validation error","Invalid date format (must match YYYY-MM-DD pattern) — schema validation failure","Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000) — validation error","Invalid field selector (must be 'respondents' or 'invitations') — enum validation error"],"whenToPreferThis":"Choose this endpoint when you have tabular survey participation data (respondents and invitations by course group and date) and need both string normalisation and numeric distribution analysis in a single low-cost call. It is ideal for education or training survey datasets up to 200 rows where no live lookup, external prediction, or real-time data is required. It bundles two reports for $0.01 USDC, making it cost-effective for batch analytical preprocessing.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T19:11:29.643Z","isFirstParty":false,"canonicalSlug":"survey-participation-analytics-string-normalisation-numeric-25373271"}