{"uid":"cap_qfC91i8MwfzwkX9MJrk3a","slug":"temperature-observations-string-normalisation-base-100-series-e8d5292b","name":"Temperature Observations — String Normalisation + Base-100 Series","description":"Temperature observations — String normalisation + Base-100 series: String normalisation + 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-01-030?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"},"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_Pvq5tIhOfpl8VftAX8-Q-","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":"Performs string normalisation and base-100 series indexing on up to 200 supplied temperature observation records (temperature_c or observation_count), returning two analytical reports per call.","exampleAgentPrompt":"Can you run string normalisation and base-100 indexing on these temperature observation records — I have up to 50 rows with station_group, date, temperature_c, and observation_count, using temperature_c as the field and row index 0 as the base?","exampleUseCases":[{"title":"Baseline temperature trend indexing","prompt":"I have daily temperature readings from three weather stations over the past month — can you normalise the temperature_c values and produce a base-100 index starting from the first observation so I can compare trends across groups?"},{"title":"Observation count series normalisation","prompt":"Take these 120 rows of weather observation data with station groups and dates, run string normalisation and base-100 series on the observation_count field using row 0 as the base, and give me the two reports."},{"title":"Multi-station climate data standardisation","prompt":"I need to standardise temperature readings across my station groups — can you normalise these 80 temperature observation records and index them to base 100 from row index 5 so I can benchmark against a mid-series reference point?"}],"resultDescription":"Two analytical reports per call: (1) string-normalised representation of the selected numeric field (temperature_c or observation_count) across the supplied rows, and (2) a base-100 indexed series anchored at the specified base_index row, computed locally against the supplied data with no external lookups.","failureModes":["Fewer than 1 or more than 200 rows submitted — validation error","Invalid date format (not YYYY-MM-DD) on any row — schema rejection","base_index out of range (0–199) or exceeding row count — computation error","Null values in temperature_c or observation_count may affect series calculation","Missing required row fields (row_id, date) — request rejected"],"whenToPreferThis":"Choose this endpoint when you have tabular temperature or observation-count data (up to 200 rows) and need two specific analytical outputs — string normalisation and a base-100 indexed series — without requiring live data fetches, predictions, or external enrichment. Ideal for offline batch analytical preprocessing of weather station records at very low cost ($0.01 USDC for both reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:34:19.017Z","isFirstParty":false,"canonicalSlug":"temperature-observations-string-normalisation-base-100-series-e8d5292b"}