{"uid":"cap_ZDLJM9kAc7_1M4pOaDqO5","slug":"air-quality-observations-numeric-row-ordering-adjacent-row-changes-dab057ea","name":"Air Quality Observations — Numeric Row Ordering & Adjacent Row Changes","description":"Air quality observations — Numeric row ordering + Adjacent row changes: Numeric row ordering + 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-10-116?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__iYaxErnDyLqbEWAv9i5v","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 numeric row ordering and adjacent row changes for supplied air quality observation records (concentration or observation_count) across up to 200 rows.","exampleAgentPrompt":"I have these air quality readings for our monitoring stations — can you rank them by concentration and also show me the change in concentration between each consecutive row? Here are 4 rows: row-1 on 2026-10-01 at station group-a with concentration 10 and observation_count 1, row-2 on 2026-10-02 at group-b with concentration 20 and observation_count 2, row-3 on 2026-10-03 at group-a with concentration 15 and observation_count 3, row-4 on 2026-10-04 at group-b with concentration 30 and observation_count 4.","exampleUseCases":[{"title":"Station pollution ranking by concentration","prompt":"I have daily air quality readings from two monitoring stations over the past week — can you rank all the rows by concentration value and show me the change in concentration between each consecutive measurement? Use the concentration field."},{"title":"Observation count trend delta analysis","prompt":"Here are 50 air quality observation records from our network — I want to see them ordered numerically by observation_count and also get the adjacent row changes for observation_count so I can spot sudden jumps or drops."},{"title":"Multi-station sequential change detection","prompt":"I've got 150 rows of air quality data from station groups north and south across multiple dates — please compute numeric ordering and the row-over-row changes in concentration so I can identify which intervals had the biggest spikes."}],"resultDescription":"Two analytical reports: (1) numeric row ordering — rows sorted/ranked by the selected field (concentration or observation_count); (2) adjacent row changes — the delta between each consecutive row for the selected field. Results are computed locally on supplied data with no external lookups.","failureModes":["Exceeds 200-row limit — request rejected or truncated","Missing required fields (row_id, station_group, date, concentration, observation_count) — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Field value out of allowed numeric range — rejection","Empty rows array — error response"],"whenToPreferThis":"Choose this endpoint when you have a batch of air quality observation records (up to 200 rows) and need both a numerically ordered view and row-over-row delta computation in a single call. It is ideal for offline/local analytical processing of already-collected data without needing live lookups, predictions, or external data enrichment. Prefer it over generic analytics services when working specifically with concentration and observation_count fields in an environmental monitoring context.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T12:49:48.022Z","isFirstParty":false,"canonicalSlug":"air-quality-observations-numeric-row-ordering-adjacent-row-changes-dab057ea"}