{"uid":"cap_ZoaJRgzngLb7K8-uG2gJL","slug":"temperature-observations-string-normalisation-numeric-interval-filter-c5946abf","name":"Temperature Observations — String Normalisation & Numeric Interval Filter","description":"Temperature observations — String normalisation + Numeric interval filter: String normalisation + Numeric interval filter for supplied temperature observations records (temperature_c, 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-01-026?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","station_group","date","temperature_c","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},"station_group":{"type":"string","default":"","maxLength":80},"temperature_c":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"observation_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","station_group":"group-a","temperature_c":10,"observation_count":1},{"date":"2026-10-02","row_id":"row-2","station_group":"group-b","temperature_c":20,"observation_count":2},{"date":"2026-10-03","row_id":"row-3","station_group":"group-a","temperature_c":15,"observation_count":3},{"date":"2026-10-04","row_id":"row-4","station_group":"group-b","temperature_c":30,"observation_count":4}],"maxItems":200,"minItems":1},"field":{"enum":["temperature_c","observation_count"],"type":"string","default":"temperature_c"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_uKJmDgzBE0ZytHdljaU_b","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":"Normalises station-group strings and filters temperature observation records by a numeric interval across up to 200 rows, returning two analytical reports.","exampleAgentPrompt":"Can you run string normalisation and a numeric interval filter on my temperature observation records — I have 4 rows with station groups 'group-a' and 'group-b', dates from 2026-10-01 to 2026-10-04, temperature_c values of 10, 20, 15, and 30, and I want to keep only readings where temperature_c is between 0 and 25?","exampleUseCases":[{"title":"Filter out-of-range station temperatures","prompt":"I've got a batch of weather station readings — station groups like 'north-zone' and 'south-zone', dates in October 2026, and temperature_c values ranging from -5 to 45. Can you normalise the station group strings and filter to only keep rows where temperature_c is between 0 and 35?"},{"title":"Clean observation count data for reporting","prompt":"I need to validate my observation_count field across 50 weather records — can you normalise the station group names and filter rows so I only see entries where observation_count falls between 1 and 100? The dates run from 2026-09-01 to 2026-10-31."},{"title":"Quality-check temperature data before ingestion","prompt":"Before I import these 120 temperature observation rows into our pipeline, can you run a string normalisation pass on the station_group field and flag any records where temperature_c falls outside the range of -10 to 50? Dates are all in 2026 and I want two separate reports."}],"resultDescription":"Returns two analytical reports: one covering string normalisation of the station_group field across the supplied rows, and one showing which records pass the numeric interval filter for the chosen field (temperature_c or observation_count) within the specified minimum–maximum bounds. Covers up to 200 input rows per call.","failureModes":["Fewer than 1 row supplied — validation error","More than 200 rows submitted — rejected with row limit error","Invalid date format (not YYYY-MM-DD) — schema validation failure","minimum greater than maximum — may produce empty filtered result set","Null values in temperature_c or observation_count — treated as null and may be excluded from interval filter","Missing required row fields (row_id) — schema rejection"],"whenToPreferThis":"Choose this endpoint when you have weather or environmental observation data (up to 200 rows) and need both string normalisation on categorical fields and a numeric range/interval filter on temperature or observation counts in a single call. It is a lightweight, offline analytical tool — no live weather lookups or external data enrichment. Prefer it over general-purpose data tools when you specifically need the dual-report output (string normalisation + interval filter) on temperature_c or observation_count fields without external API dependencies.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T18:51:27.916Z","isFirstParty":false,"canonicalSlug":"temperature-observations-string-normalisation-numeric-interval-filter-c5946abf"}