{"uid":"cap_x4u5SKkfQxuabbHenOnnI","slug":"air-quality-observations-record-quality-audit-exact-row-deduplication-d415592d","name":"Air Quality Observations — Record Quality Audit + Exact Row Deduplication","description":"Air quality observations — Record quality audit + Exact row deduplication: Record quality audit + Exact row deduplication 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-10-002?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}}},"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_n0KMTQ0fDn_XS-Wm2E1SK","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":"Runs two analytical reports on supplied air quality observation records: a record quality audit and an exact row deduplication check, for up to 200 rows.","exampleAgentPrompt":"Can you run a record quality audit and exact duplicate check on these air quality observations? I have up to 50 rows with fields like row_id, station_group, date, concentration, and observation_count — I want to know which records have quality issues and which are exact duplicates.","exampleUseCases":[{"title":"Pre-analysis data cleaning for pollution study","prompt":"I have a batch of air quality readings from multiple station groups — can you audit the records for quality issues and flag any exact duplicate rows before I run my pollution trend analysis? I'll give you up to 80 rows with date, concentration, and observation count."},{"title":"Validating uploaded sensor data exports","prompt":"Our monitoring stations uploaded a CSV export of air quality observations and I suspect there are some bad or repeated rows in it. Can you run a quality audit and deduplication check on the 120 rows I provide, using station_group, date, concentration, and observation_count fields?"},{"title":"Routine data integrity check for air quality pipeline","prompt":"As part of our weekly data pipeline, please audit this batch of up to 200 air quality observation records for record quality problems and exact row duplicates — the records include row_id, station_group, date, concentration, and observation_count."}],"resultDescription":"Returns two independent analytical reports: (1) a record quality audit identifying issues such as null values, out-of-range values, or malformed fields across the supplied air quality observation rows; and (2) an exact row deduplication report listing which rows are exact duplicates of other rows. Both reports are computed locally using shared analytical engines with no external data lookups.","failureModes":["Exceeds 200-row limit — request rejected","Missing required fields (row_id, station_group, date, concentration, observation_count) — validation error","Malformed date format (not YYYY-MM-DD) — schema validation failure","Empty rows array (minItems: 1 not met) — rejection","Payment not received or insufficient USDC — 402 response","Field values outside numeric bounds — schema rejection"],"whenToPreferThis":"Choose this endpoint when you need both a data quality audit and exact duplicate detection on air quality observation records in a single call, with no need for live environmental data, predictions, or external lookups. Ideal for data pipeline validation steps before downstream analysis, when cost efficiency matters ($0.01 for two reports on up to 200 rows) and the data is already collected and structured.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T12:47:45.617Z","isFirstParty":false,"canonicalSlug":"air-quality-observations-record-quality-audit-exact-row-deduplication-d415592d"}