{"uid":"cap_8s9hLVLD80Qinl-NER903","slug":"survey-participation-string-normalisation-base-100-series-99854b9b","name":"Survey Participation String Normalisation + Base-100 Series","description":"Survey participation — String normalisation + Base-100 series: String normalisation + Base-100 series 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-10-030?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"},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":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_MxxQWsKDObzGH2bbuZVzP","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 a base-100 index series for up to 200 survey participation records (respondents or invitations) across course groups and dates.","exampleAgentPrompt":"Normalise the string fields and compute a base-100 index series on the respondents column for these 4 survey participation rows — course groups Alpha and Beta from October 2026 — using row 0 as the base index.","exampleUseCases":[{"title":"Education survey response rate indexing","prompt":"I have weekly survey data for three course groups over October 2026 — can you normalise the group labels and build a base-100 index series on the respondents column, using the first row as the base? Here are the rows: row-1 2026-10-01 group-a 45 respondents 200 invitations, row-2 2026-10-02 group-b 60 respondents 180 invitations, row-3 2026-10-03 group-a 50 respondents 210 invitations."},{"title":"Invitation uptake trend baseline comparison","prompt":"Can you run string normalisation and a base-100 series on the invitations field for this survey participation dataset? I want to see how invitation counts trend relative to the first record. I've got 5 rows spanning November 2026 across two groups."},{"title":"Multi-group participation data cleanup and indexing","prompt":"I need to clean up the course_group text fields and get a base-100 indexed series on respondent numbers for my survey records — about 20 rows from Q4 2026 covering four different course groups. Use row 0 as the baseline and run both the normalisation and index reports."}],"resultDescription":"Returns two analytical reports: (1) a string normalisation report cleaning course_group and other text fields across the supplied rows, and (2) a base-100 index series for the selected numeric field (respondents or invitations), indexed relative to the specified base row. Both reports operate on the supplied data locally with no external lookups.","failureModes":["Fewer than 1 or more than 200 rows supplied — validation error","base_index out of range (0–199) relative to provided rows — error","Invalid date format (not YYYY-MM-DD) in any row — schema validation failure","Missing required fields (row_id, course_group, date, respondents, invitations) — rejected row","Numeric values outside allowed range cause schema rejection","Payment not attached or insufficient — x402 payment required error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 survey participation records and need both string normalisation of categorical fields and a base-100 trend index on a numeric participation metric (respondents or invitations) in a single call. It is ideal for education analytics workflows where you want to benchmark participation relative to a specific baseline date without any external data lookups or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T19:10:11.441Z","isFirstParty":false,"canonicalSlug":"survey-participation-string-normalisation-base-100-series-99854b9b"}