{"uid":"cap_iZcd5eiI2hUuJ-WFTr0Mm","slug":"air-quality-observations-exact-row-deduplication-05576ce4","name":"Air Quality Observations – Exact Row Deduplication","description":"Air quality observations - Exact row deduplication: Exact row deduplication 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 exact row deduplication report.","url":"https://market.datapackvibe.com/x402/assistant-ar-analytics-air-quality-observations-deduplicate?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}}},"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_A-dCm_tKYeZhQt14ZYg-S","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":"Identifies and removes exact duplicate rows from a supplied batch of air quality observation records (station, date, PM2.5, humidity).","exampleAgentPrompt":"I have a batch of up to 200 air quality observation records with station name, date, PM2.5, and humidity — can you run exact row deduplication on them to remove any fully repeated entries and give me a clean unique set?","exampleUseCases":[{"title":"Cleaning sensor ingestion pipeline","prompt":"I'm ingesting air quality readings from multiple stations and some records are coming in twice — can you deduplicate these rows exactly? I have fields for row_id, station, date, pm25, and humidity_percent across about 150 records."},{"title":"Pre-analysis dataset validation","prompt":"Before I run my analysis on this air quality dataset, I need to make sure there are no exact duplicate rows. Can you check these PM2.5 and humidity records for perfect duplicates and return only the unique ones?"},{"title":"Audit of historical monitoring logs","prompt":"We're auditing our historical air quality monitoring logs and need to find and remove any rows that are exact copies of each other — station, date, pm25, and humidity all identical. Can you run deduplication on this set of about 80 records?"}],"resultDescription":"A deduplication report identifying which of the supplied rows are exact duplicates, returning the unique set of air quality observation records (preserving row_id, station, date, pm25, humidity_percent) and flagging or removing redundant entries — local analytics only, no enrichment or forecasting.","failureModes":["Fewer than 1 row supplied returns a validation error","More than 200 rows submitted exceeds the maxItems limit and is rejected","Missing required fields (row_id, station, date, pm25, humidity_percent) cause schema validation failure","Invalid date format (not YYYY-MM-DD) triggers pattern validation error","Non-numeric values in pm25 or humidity_percent fields cause type errors"],"whenToPreferThis":"Use this endpoint when you have a bounded batch of up to 200 air quality observation records and need to identify or remove exact duplicate rows before analysis or storage. It is purpose-built for the specific schema of station/date/PM2.5/humidity data. Prefer this over general-purpose deduplication tools when working within the air quality monitoring domain and needing a lightweight, low-cost ($0.01 USDC) per-call operation with no side effects.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T12:58:21.878Z","isFirstParty":false,"canonicalSlug":"air-quality-observations-exact-row-deduplication-05576ce4"}