{"uid":"cap_lSLXG_6-VUHUnpHya6HXG","slug":"humidity-observations-string-normalisation-trailing-mean-series-ee895c26","name":"Humidity Observations — String Normalisation + Trailing Mean Series","description":"Humidity observations — String normalisation + Trailing mean series: String normalisation + Trailing mean series for supplied humidity observations records (humidity_percent, observation_count). 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-weather-04-028?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","station_group","date","humidity_percent","observation_count"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"station_group":{"type":"string","default":"","maxLength":80},"humidity_percent":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"observation_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","station_group":"group-a","humidity_percent":10,"observation_count":1},{"date":"2026-10-02","row_id":"row-2","station_group":"group-b","humidity_percent":20,"observation_count":2},{"date":"2026-10-03","row_id":"row-3","station_group":"group-a","humidity_percent":15,"observation_count":3},{"date":"2026-10-04","row_id":"row-4","station_group":"group-b","humidity_percent":30,"observation_count":4}],"maxItems":200,"minItems":1},"field":{"enum":["humidity_percent","observation_count"],"type":"string","default":"humidity_percent"},"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_86gYIcsi46GnywBfDG6W0","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 two local analytical reports on humidity observation records: string normalisation and trailing mean series computation, for up to 200 rows.","exampleAgentPrompt":"I have a batch of humidity observation records with fields like humidity_percent and observation_count across different station groups — can you run string normalisation and a trailing mean series on the humidity_percent field with a window of 7, for these 50 rows?","exampleUseCases":[{"title":"Smoothing multi-station humidity readings","prompt":"I've got 120 rows of daily humidity readings from several weather stations and I want to clean up any string irregularities in the station labels and compute a trailing mean over humidity_percent with a window of 5 — can you run both reports at once?"},{"title":"QA check on observation count trends","prompt":"Can you normalise the string fields and compute a rolling average with a window of 10 on the observation_count field for these 80 humidity records I'm uploading, so I can spot anomalies in the count trend?"},{"title":"Preparing humidity data for downstream pipeline","prompt":"Before I feed this humidity dataset into my model, I need two things done: string normalisation and a trailing mean series on humidity_percent with a 3-day window — the dataset has about 150 rows across groups A and B."}],"resultDescription":"Two analytical reports for the submitted rows: (1) a string-normalised version of the specified field values across all records, and (2) a trailing mean series computed over the chosen numeric field (humidity_percent or observation_count) using the specified window size, both derived entirely from the supplied data without external lookups.","failureModes":["Fewer than 1 row or more than 200 rows submitted — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Window size larger than number of submitted rows — insufficient data for trailing mean","Non-numeric value in humidity_percent or observation_count where number expected — type error","Missing required fields (row_id, date, humidity_percent, observation_count) — request rejected","Payment not included or insufficient — 402 response"],"whenToPreferThis":"Choose this endpoint when you need two bundled analytical operations — string normalisation and trailing mean series — on humidity observation data in a single low-cost call ($0.01 USDC for both reports). Prefer it over general-purpose analytics when your data is specifically structured as humidity/observation records with station groups and dates, and you want offline, deterministic computation with no external data dependencies.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-29T12:53:53.207Z","isFirstParty":false,"canonicalSlug":"humidity-observations-string-normalisation-trailing-mean-series-ee895c26"}