{"uid":"cap_lZBbHPlHeactRZrGlzht2","slug":"air-quality-observations-numeric-interval-filter-iqr-outlier-flags-6947dead","name":"Air Quality Observations — Numeric Interval Filter + IQR Outlier Flags","description":"Air quality observations — Numeric interval filter + IQR outlier flags: Numeric interval filter + IQR outlier flags 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-10-130?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"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_jFOD4XwImVzaXYv9oAZ-D","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":"Filters air quality observation rows by a numeric interval and flags statistical outliers using IQR analysis, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have a batch of air quality readings with concentration values — can you filter them to only keep rows where concentration is between 0 and 150, and also flag any IQR outliers in the concentration field? Here are up to 200 rows with row_id, station_group, date, concentration, and observation_count.","exampleUseCases":[{"title":"Outlier detection in pollution monitoring","prompt":"I've got daily PM2.5 concentration readings from multiple station groups and I need to flag any statistical outliers using IQR, plus filter out any rows where concentration falls outside the 5 to 500 range — can you run both analyses on these 80 rows?"},{"title":"Sensor data quality audit","prompt":"We're auditing our air quality sensor network and need to identify suspicious observation_count values — please filter to rows where observation_count is between 1 and 200 and flag IQR outliers in the observation_count field across these station records."},{"title":"Range-based data cleaning before reporting","prompt":"Before I publish my monthly air quality report, can you filter my 150 observation rows to only those with concentration between 0 and 100 and highlight which ones are statistical outliers by IQR so I know what to double-check?"}],"resultDescription":"Two analytical reports covering: (1) rows filtered to the specified numeric interval for the chosen field (concentration or observation_count), and (2) IQR-based outlier flags for the same field, applied to all supplied rows. Results are computed locally with no external lookup.","failureModes":["More than 200 rows submitted — request rejected or truncated","Invalid date format (not YYYY-MM-DD) causes row validation failure","Minimum value greater than maximum value yields empty interval filter result","Missing required fields (row_id, concentration, observation_count) cause schema rejection","Null numeric values may be excluded from IQR computation"],"whenToPreferThis":"Choose this endpoint when you have up to 200 air quality observation records and need both a numeric range filter and IQR-based outlier detection in a single call, without requiring live data fetching, prediction, or external integrations. It is ideal for offline data quality checks on batch datasets where concentration or observation_count needs statistical validation.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T12:42:34.438Z","isFirstParty":false,"canonicalSlug":"air-quality-observations-numeric-interval-filter-iqr-outlier-flags-6947dead"}