{"uid":"cap_cIYnO3-Bqx7Sdzx418nS-","slug":"podcast-observations-string-normalisation-trailing-mean-series-bd975b19","name":"Podcast Observations — String Normalisation + Trailing Mean Series","description":"Podcast observations — String normalisation + Trailing mean series: String normalisation + Trailing mean series for supplied podcast observations records (download_count, duration_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-09-028?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","channel_group","date","download_count","duration_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},"download_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"duration_minutes":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","channel_group":"group-a","download_count":10,"duration_minutes":1},{"date":"2026-10-02","row_id":"row-2","channel_group":"group-b","download_count":20,"duration_minutes":2},{"date":"2026-10-03","row_id":"row-3","channel_group":"group-a","download_count":15,"duration_minutes":3},{"date":"2026-10-04","row_id":"row-4","channel_group":"group-b","download_count":30,"duration_minutes":4}],"maxItems":200,"minItems":1},"field":{"enum":["download_count","duration_minutes"],"type":"string","default":"download_count"},"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_QiaH-1j4GCdTXeJLYyz1n","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 string normalisation and trailing mean series analytics on user-supplied podcast observation records (download_count, duration_minutes) for up to 200 rows.","exampleAgentPrompt":"I have 50 rows of podcast data with columns row_id, channel_group, date, download_count, and duration_minutes — can you run string normalisation and a trailing mean series on the download_count field with a window of 7?","exampleUseCases":[{"title":"Rolling average of podcast downloads","prompt":"I've got 120 rows of weekly podcast observation data with row IDs, channel groups, dates, and download counts. Can you compute a trailing mean series on download_count using a window of 4 so I can see the smoothed download trend?"},{"title":"Normalise episode duration labels","prompt":"I have podcast records including episode duration in minutes across multiple channel groups. Please run string normalisation on the duration_minutes field across all 80 rows so the values are consistently formatted."},{"title":"Dual report for podcast performance review","prompt":"Here are 200 rows of podcast observations with row_id, channel_group, date, download_count, and duration_minutes. Run both string normalisation and a trailing mean series on download_count with a window of 10 for our monthly performance review."}],"resultDescription":"Returns two analytical reports derived from the supplied podcast observation rows: (1) a string-normalised version of the chosen field across all rows, and (2) a trailing mean series computed over the specified rolling window — both produced locally without external lookups or predictions.","failureModes":["Fewer than 1 or more than 200 rows supplied — request rejected","Window size smaller than 2 or larger than 200 — validation error","Invalid date format (not YYYY-MM-DD) in any row — schema rejection","Field value not one of the allowed enum values (download_count, duration_minutes) — error","Missing required row fields (row_id, channel_group, date) — schema validation failure","All numeric values null — trailing mean may return empty or null results"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of podcast observation records and need both string normalisation and a rolling/trailing mean series computed together in a single cost-efficient call ($0.01 USDC for both reports). Ideal for offline batch analytics on podcast download or duration data without requiring live data feeds, predictions, or external enrichment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T18:37:44.460Z","isFirstParty":false,"canonicalSlug":"podcast-observations-string-normalisation-trailing-mean-series-bd975b19"}