{"uid":"cap_IkS4ij_G98QCeM-riIOKe","slug":"air-quality-observations-category-frequencies-daily-sum-series-20a7cce5","name":"Air Quality Observations — Category Frequencies + Daily Sum Series","description":"Air quality observations — Category frequencies + Daily sum series: Category frequencies + Daily sum series for supplied air quality observations records (concentration, 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-10-102?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","station_group","date","concentration","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},"concentration":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"station_group":{"type":"string","default":"","maxLength":80},"observation_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","concentration":10,"station_group":"group-a","observation_count":1},{"date":"2026-10-02","row_id":"row-2","concentration":20,"station_group":"group-b","observation_count":2},{"date":"2026-10-03","row_id":"row-3","concentration":15,"station_group":"group-a","observation_count":3},{"date":"2026-10-04","row_id":"row-4","concentration":30,"station_group":"group-b","observation_count":4}],"maxItems":200,"minItems":1},"field":{"enum":["concentration","observation_count"],"type":"string","default":"concentration"}}},"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_qARYbCGNjPKGoGOqU4D4O","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":"Analyzes supplied air quality observation records to produce two reports: category frequency distribution and daily sum time series for concentration or observation_count fields.","exampleAgentPrompt":"Take these air quality records for station groups alpha and beta from October 2026 — each row has a date, concentration, and observation_count — and give me both the category frequency breakdown and the daily sum series for the concentration field.","exampleUseCases":[{"title":"Station group pollution frequency audit","prompt":"I have 150 daily air quality readings from two station groups with concentration and observation_count values for each day in Q3. Can you compute category frequencies and a daily sum series for the concentration field so I can see which ranges dominate?"},{"title":"Daily observation volume trend analysis","prompt":"Here are my air quality monitoring records for 90 days across multiple station groups. Run the daily sum series and category frequency reports on observation_count so I can spot which days had unusually high or low measurement activity."},{"title":"Multi-station air quality data summarization","prompt":"I've got a dataset of about 180 air quality observations with dates, station groups, and concentration measurements. I need both a frequency breakdown by category and the day-by-day concentration totals — can you run both reports on concentration for me?"}],"resultDescription":"Returns two analytical reports computed locally from the supplied rows: (1) a category frequency table showing how often each concentration or observation_count category appears across the dataset, and (2) a daily sum time series aggregating the chosen field by date — all derived purely from the input data with no external lookups.","failureModes":["More than 200 rows submitted — request rejected, must batch into smaller chunks","Missing required fields (row_id, station_group, date, concentration, or observation_count) — validation error","Invalid date format (must match YYYY-MM-DD pattern) — schema validation failure","Field selector not one of 'concentration' or 'observation_count' — enum validation error","Empty rows array — rejected due to minItems:1 constraint","Numeric values outside allowed range (-1e12 to 1e12) — schema validation error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of air quality observation records and need both a category frequency distribution AND a daily sum time series in a single low-cost call ($0.01 USDC). It is entirely self-contained — ideal when you have your own data and need fast local analytical summaries without any live sensor lookups, external APIs, or prediction services. Prefer it over general analytics tools when you specifically need both reports bundled together for air quality concentration or observation count fields.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T12:53:52.882Z","isFirstParty":false,"canonicalSlug":"air-quality-observations-category-frequencies-daily-sum-series-20a7cce5"}