{"uid":"cap_q5et74gqNe9QspWsJElyY","slug":"air-quality-observations-record-quality-audit-string-normalisation-b4a36289","name":"Air Quality Observations — Record Quality Audit, String Normalisation & Numeric Row Ordering","description":"Air quality observations — Record quality audit + String normalisation + Numeric row ordering: Record quality audit + String normalisation + Numeric row ordering for supplied air quality observations records (concentration, observation_count). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-weather-10-196?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_cxhOkgLdapBP-zkbAQ97f","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":"Audits record quality, normalises station group strings, and orders rows numerically for up to 200 air quality observation records (concentration and observation_count fields).","exampleAgentPrompt":"Can you run a quality audit, normalise the station group strings, and order the rows by concentration on my air quality dataset — here are the records with row IDs, dates, station groups, concentration values, and observation counts for up to 200 rows?","exampleUseCases":[{"title":"Pre-analysis air quality data cleaning","prompt":"I have 150 air quality observation records with station group names that aren't consistent and I need to audit them for quality issues, normalise those station strings, and sort everything by concentration before I feed the data into my analysis pipeline — can you do all three reports at once?"},{"title":"Environmental sensor data validation","prompt":"Before I publish this month's pollution monitoring results, can you audit these 80 air quality rows for record quality problems, normalise the station_group labels, and order the rows by observation_count so I can spot outliers?"},{"title":"Multi-station concentration dataset review","prompt":"I'm merging data from several air monitoring stations and I need a quality audit plus string normalisation on the station_group field and numeric ordering by concentration — here are my 200 rows with row_id, date, station_group, concentration, and observation_count."}],"resultDescription":"Returns three independent analytical reports: (1) a record quality audit flagging issues in the supplied rows, (2) a string normalisation report for the station_group field, and (3) a numeric row ordering report sorted by the chosen field (concentration or observation_count). All reports are generated from the supplied data with no external lookups.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, station_group, date, concentration, observation_count) cause validation error","Date strings not matching YYYY-MM-DD pattern are rejected","Null numeric values may affect ordering and numeric reports","Invalid field enum value (must be 'concentration' or 'observation_count') causes error","Payment of 0.01 USDC not received — request blocked"],"whenToPreferThis":"Choose this endpoint when you have up to 200 air quality observation rows and need three simultaneous local analytical operations — record quality auditing, string normalisation, and numeric ordering — without any external API calls, live data lookups, or professional assessments. It is cost-effective at $0.01 for all three reports and ideal as a preprocessing step before downstream analysis or publication of environmental monitoring data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T12:51:10.265Z","isFirstParty":false,"canonicalSlug":"air-quality-observations-record-quality-audit-string-normalisation-b4a36289"}