{"uid":"cap_lOknUjnTETOrOCXCvZKDI","slug":"discussion-response-string-normalisation-base-100-series-a8b5a8a6","name":"Discussion Response String Normalisation + Base-100 Series","description":"Discussion response — String normalisation + Base-100 series: String normalisation + Base-100 series for supplied discussion response records (response_count, response_minutes). 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-news-07-030?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","channel_group","date","response_count","response_minutes"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"channel_group":{"type":"string","default":"","maxLength":80},"response_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"response_minutes":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","channel_group":"group-a","response_count":10,"response_minutes":1},{"date":"2026-10-02","row_id":"row-2","channel_group":"group-b","response_count":20,"response_minutes":2},{"date":"2026-10-03","row_id":"row-3","channel_group":"group-a","response_count":15,"response_minutes":3},{"date":"2026-10-04","row_id":"row-4","channel_group":"group-b","response_count":30,"response_minutes":4}],"maxItems":200,"minItems":1},"field":{"enum":["response_count","response_minutes"],"type":"string","default":"response_count"},"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_sib0QZE0dJH-9r773Xmfx","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 discussion response metrics (response_count, response_minutes) and computes a Base-100 index series for up to 200 supplied rows, returning two analytical reports.","exampleAgentPrompt":"Can you normalise my discussion response data and compute a Base-100 series indexed from row 0, using response_count as the field? I have 4 rows: 2026-10-01 group-a 10 responses 1 minute, 2026-10-02 group-b 20 responses 2 minutes, 2026-10-03 group-a 15 responses 3 minutes, 2026-10-04 group-b 30 responses 4 minutes.","exampleUseCases":[{"title":"Forum activity trend indexing","prompt":"I have weekly forum response counts across two channel groups for the past 3 months — can you normalise the data and give me a Base-100 index series starting from the first row so I can compare growth trends?"},{"title":"Support channel response time benchmarking","prompt":"Take these 50 rows of daily support channel response_minutes data across multiple groups and produce a Base-100 series indexed from row 0, plus a string-normalised report, so I can benchmark which channels improved most."},{"title":"Discussion volume comparison across groups","prompt":"I want to compare discussion response_count across group-a and group-b over the last quarter — can you string-normalise the data and generate a Base-100 index starting at position 0 so the volumes are on the same scale?"}],"resultDescription":"Two analytical reports: (1) string-normalised representation of the selected field (response_count or response_minutes) across all supplied rows, and (2) a Base-100 index series anchored at the specified base_index row, computed locally from the supplied data with no external lookups.","failureModes":["Rows array empty or missing — minimum 1 row required","More than 200 rows supplied — exceeds maxItems limit","Invalid date format — must match YYYY-MM-DD pattern","row_id missing or blank — required field with minLength 1","field value not one of enum ['response_count','response_minutes'] — validation error","base_index out of range — must be between 0 and 199 and within supplied row count","Null numeric values may reduce index accuracy if too prevalent"],"whenToPreferThis":"Choose this endpoint when you need both string normalisation and a Base-100 index series computed together on discussion/forum response data (response_count or response_minutes) in a single low-cost call. It is ideal for offline or batch analytical workflows where you supply your own data (no live data fetch), want two bundled reports for up to 200 rows, and need a cheap fixed-price computation ($0.01 USDC). Prefer alternatives if you need live data retrieval, predictions, or more than 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:32:31.137Z","isFirstParty":false,"canonicalSlug":"discussion-response-string-normalisation-base-100-series-a8b5a8a6"}