{"uid":"cap_AfxfOogHwNYQ8xtznC4-p","slug":"air-quality-observations-numeric-distribution-adjacent-row-changes-74ed08ea","name":"Air Quality Observations — Numeric Distribution + Adjacent Row Changes","description":"Air quality observations — Numeric distribution + Adjacent row changes: Numeric distribution + Adjacent row changes 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-10-077?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_EeZuoqat0eGhz-5M42nRo","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 by computing numeric distribution statistics and adjacent row changes for concentration or observation_count fields.","exampleAgentPrompt":"Analyze the distribution and adjacent row changes for my air quality concentration readings — here are my records: row-1, 2024-01-01, group-a, concentration 12.5, observation_count 4; row-2, 2024-01-02, group-a, concentration 18.0, observation_count 6; row-3, 2024-01-03, group-b, concentration 9.3, observation_count 3. Use the concentration field.","exampleUseCases":[{"title":"Station pollution spike detection","prompt":"I have 50 rows of daily air quality readings from my monitoring stations — can you run the numeric distribution and adjacent row change reports on the concentration field so I can see where pollution spikes between consecutive days?"},{"title":"Observation count consistency check","prompt":"Here are 30 rows of air quality observations from groups alpha and beta across March 2024. Run the distribution and row-to-row change analysis on the observation_count field so I can check whether my sampling counts are consistent."},{"title":"Multi-station concentration summary","prompt":"I collected air quality concentration data from 5 station groups over the past 90 days — 150 rows total. Give me the numeric distribution breakdown and the adjacent changes for the concentration field so I can summarize the spread and trends."}],"resultDescription":"Two analytical reports for up to 200 supplied rows: (1) a numeric distribution report (e.g. min, max, mean, percentiles, spread) for the selected field (concentration or observation_count), and (2) an adjacent row changes report showing the differences between consecutive rows for that field. No live data fetched; analysis is performed on the submitted records only.","failureModes":["Rows array empty or missing — validation error","More than 200 rows submitted — request rejected","Invalid date format (not YYYY-MM-DD) — schema validation failure","Field value not in enum ['concentration','observation_count'] — error","Null values in numeric fields may affect distribution calculations","Missing required row fields (row_id, station_group, date) — validation error"],"whenToPreferThis":"Choose this endpoint when you have a batch of air quality observation records (up to 200 rows) and need both a statistical distribution summary and a consecutive-row change analysis for concentration or observation_count in a single low-cost call ($0.01 USDC). Prefer it over general analytics tools when you want a lightweight, pre-packaged dual-report specifically structured for air quality time-series or station data without needing live lookups or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T12:57:10.882Z","isFirstParty":false,"canonicalSlug":"air-quality-observations-numeric-distribution-adjacent-row-changes-74ed08ea"}