{"uid":"cap_LAsbcjrCvtGmjRh1IvXto","slug":"air-quality-observations-daily-sum-series-40da65d3","name":"Air Quality Observations – Daily Sum Series","description":"Air quality observations - Daily sum series: Daily sum series for Air quality observations. Up to 200 supplied typed records. Local descriptive analytics; no enrichment or forecast. One of 25 new profiles across 20 shared operations in this industry. 0.01 USDC includes one bounded daily sum series report.","url":"https://market.datapackvibe.com/x402/assistant-ar-analytics-air-quality-observations-date-series?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","station","date","pm25","humidity_percent"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"pm25":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"station":{"type":"string","default":"","maxLength":80},"humidity_percent":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","pm25":10,"row_id":"row-1","station":"group-a","humidity_percent":1},{"date":"2026-10-02","pm25":20,"row_id":"row-2","station":"group-b","humidity_percent":2},{"date":"2026-10-03","pm25":15,"row_id":"row-3","station":"group-a","humidity_percent":3},{"date":"2026-10-04","pm25":30,"row_id":"row-4","station":"group-b","humidity_percent":4}],"maxItems":200,"minItems":1},"field":{"enum":["pm25","humidity_percent"],"type":"string","default":"pm25"}}},"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_6trBO9D1T-OrWb2fS2QzB","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":"Computes daily sum series analytics (e.g. total PM2.5 or humidity) across up to 200 air quality observation records grouped by station and date.","exampleAgentPrompt":"Compute the daily sum series for PM2.5 across these air quality station readings — I have 4 rows from stations group-a and group-b between 2026-10-01 and 2026-10-04, with PM2.5 values of 10, 20, 15, and 30. Aggregate them by day using the pm25 field.","exampleUseCases":[{"title":"Daily PM2.5 totals for urban monitoring","prompt":"I have a week of PM2.5 readings from three city monitoring stations. Can you compute the daily sum series for the pm25 field so I can see which days had the highest total particulate load?"},{"title":"Humidity aggregation across farm sensors","prompt":"I've collected humidity_percent observations from five agricultural weather stations over the past 30 days. Run a daily sum series on the humidity_percent field so I can identify days with the highest total moisture across all sensors."},{"title":"Air quality compliance reporting","prompt":"I need a daily sum report for PM2.5 from our 50 air quality sensor rows covering last month — group the totals by date so I can compare them against our compliance thresholds."}],"resultDescription":"A bounded daily sum series report aggregating the specified numeric field (pm25 or humidity_percent) by date across all supplied observation rows, covering up to 200 records with no enrichment or forecasting — purely local descriptive analytics.","failureModes":["Empty rows array (minItems:1 violation) returns validation error","More than 200 rows supplied (maxItems:200) returns rejection","Invalid date format (not YYYY-MM-DD) causes schema validation failure","Null values in the target numeric field may affect sum accuracy","Invalid field enum value (anything other than pm25 or humidity_percent) returns error","Malformed row_id (empty string or exceeding 80 chars) causes rejection"],"whenToPreferThis":"Choose this endpoint when you have raw air quality observation records (PM2.5 and/or humidity) and need a simple, bounded daily sum aggregation by date with no external enrichment, forecasting, or third-party data — ideal for local descriptive analytics on datasets up to 200 rows at minimal cost ($0.01 USDC per call).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T00:52:36.057Z","isFirstParty":false,"canonicalSlug":"air-quality-observations-daily-sum-series-40da65d3"}