{"uid":"cap_f0I_E2-pFrxawjOSYYIQG","slug":"temperature-observations-numeric-interval-filter-base-100-index-144036a3","name":"Temperature Observations — Numeric Interval Filter + Base-100 Index","description":"Temperature observations — Numeric interval filter + Base-100 series: Numeric interval filter + Base-100 series 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-01-128?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},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":0}}},"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_e3QstglWrDMnFzUR8bmmo","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":"Filters temperature observation rows by a numeric range and computes a base-100 index series for up to 200 supplied records, returning two analytical reports.","exampleAgentPrompt":"I have 50 temperature observation rows with station group, date, temperature_c, and observation_count — can you filter them to only keep rows where temperature_c is between 5 and 30, and also compute a base-100 index starting from row 0?","exampleUseCases":[{"title":"Climate station range quality check","prompt":"I've got daily temperature readings from three weather stations across October — can you filter out any rows where temperature_c falls outside 0 to 35 degrees and give me a base-100 index starting from the first row so I can see relative changes?"},{"title":"Heatwave observation analysis","prompt":"Here are 120 temperature observation records from our sensor network. Can you filter to only rows between 30 and 50 degrees Celsius and build a base-100 index from row 10 onward, with observation_count as the secondary field?"},{"title":"Baseline-normalized temperature trend report","prompt":"I want to normalize my historical temperature data — please filter the rows to temperatures between -10 and 40°C and produce a base-100 series anchored to the very first observation so I can compare seasonal trends across station groups."}],"resultDescription":"Returns two analytical reports: (1) the subset of input rows whose selected numeric field (temperature_c or observation_count) falls within the specified [minimum, maximum] interval, and (2) a base-100 indexed series for all rows relative to the specified base_index row, covering up to 200 input records.","failureModes":["Fewer than 1 row supplied returns a validation error","More than 200 rows submitted exceeds the maxItems limit","base_index value out of bounds for the supplied row array","Invalid date format (not YYYY-MM-DD) causes schema rejection","Null values in temperature_c or observation_count may cause incomplete index computation","minimum greater than maximum produces an empty filtered result set"],"whenToPreferThis":"Choose this endpoint when you have pre-collected temperature observation records (up to 200 rows) and need both a numeric interval filter and a base-100 normalization in a single call. It is not a live weather data source — use it for offline or batch analytical processing of your own temperature datasets. Ideal when you need two complementary reports (range filter + indexed series) from the same data submission in one low-cost operation.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-31T00:43:15.614Z","isFirstParty":false,"canonicalSlug":"temperature-observations-numeric-interval-filter-base-100-index-144036a3"}