{"uid":"cap_39uJX_cF93pepCHaBN18Q","slug":"soil-moisture-observations-string-normalisation-trailing-mean-series-a2656e4e","name":"Soil Moisture Observations — String Normalisation + Trailing Mean Series","description":"Soil moisture observations — String normalisation + Trailing mean series: String normalisation + Trailing mean series for supplied soil moisture observations records (moisture_percent, depth_cm). 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-08-028?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","station_group","date","moisture_percent","depth_cm"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"depth_cm":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"station_group":{"type":"string","default":"","maxLength":80},"moisture_percent":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","depth_cm":1,"station_group":"group-a","moisture_percent":10},{"date":"2026-10-02","row_id":"row-2","depth_cm":2,"station_group":"group-b","moisture_percent":20},{"date":"2026-10-03","row_id":"row-3","depth_cm":3,"station_group":"group-a","moisture_percent":15},{"date":"2026-10-04","row_id":"row-4","depth_cm":4,"station_group":"group-b","moisture_percent":30}],"maxItems":200,"minItems":1},"field":{"enum":["moisture_percent","depth_cm"],"type":"string","default":"moisture_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_e10YfDJfLobcs6l0oATza","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 trailing mean series for soil moisture observation records (moisture_percent, depth_cm) across up to 200 rows.","exampleAgentPrompt":"I have 50 soil moisture observation records with fields like row_id, station_group, date, moisture_percent, and depth_cm — can you normalize the string fields and compute a trailing mean series for moisture_percent using a window of 5?","exampleUseCases":[{"title":"Agricultural sensor data cleanup","prompt":"I've got 120 rows of soil moisture sensor readings from two station groups with dates, moisture_percent, and depth_cm values — can you normalize all the string fields and give me a trailing mean series for moisture_percent with a window of 7?"},{"title":"Depth trend analysis for irrigation study","prompt":"Run string normalization and a trailing mean series on these 80 soil observation records, targeting depth_cm with a window of 3 — I need both reports for my irrigation study."},{"title":"Environmental monitoring batch processing","prompt":"I have 200 daily soil moisture readings across multiple stations — please normalize the text fields and calculate a trailing mean series for moisture_percent using a window of 10 so I can spot moisture trends."}],"resultDescription":"Returns two analytical reports: (1) normalized string fields for the submitted observation rows, and (2) a trailing mean series for the specified numeric field (moisture_percent or depth_cm) computed over the supplied window size, covering up to 200 rows.","failureModes":["Rows array exceeds 200 items — request rejected","Window size outside 2–200 range — validation error","Missing required fields (row_id, date, moisture_percent, depth_cm) — schema error","Invalid date format (not YYYY-MM-DD) — pattern validation failure","Payment not provided or insufficient — x402 payment required error"],"whenToPreferThis":"Choose this endpoint when you need both string normalization and trailing mean series computation on soil moisture data in a single call. It bundles two local analytical reports at minimal cost ($0.01 USDC) with no external lookups or predictions, making it ideal for offline batch preprocessing of soil sensor datasets up to 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T12:49:34.259Z","isFirstParty":false,"canonicalSlug":"soil-moisture-observations-string-normalisation-trailing-mean-series-a2656e4e"}