{"uid":"cap_Kki_Q8VojEqmmHr36is9k","slug":"soil-moisture-observations-string-normalisation-duplicate-key-report-820b65b6","name":"Soil Moisture Observations — String Normalisation + Duplicate Key Report","description":"Soil moisture observations — String normalisation + Duplicate key report: String normalisation + Duplicate key report for supplied soil moisture observations records (moisture_percent, depth_cm). 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-08-021?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","station_group","date","moisture_percent","depth_cm"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"depth_cm":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"station_group":{"type":"string","default":"","maxLength":80},"moisture_percent":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","depth_cm":1,"station_group":"group-a","moisture_percent":10},{"date":"2026-10-02","row_id":"row-2","depth_cm":2,"station_group":"group-b","moisture_percent":20},{"date":"2026-10-03","row_id":"row-3","depth_cm":3,"station_group":"group-a","moisture_percent":15},{"date":"2026-10-04","row_id":"row-4","depth_cm":4,"station_group":"group-b","moisture_percent":30}],"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_hKJwsuRx7MWVzG5n7XdzZ","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 offline analytical reports on supplied soil moisture observation records: string normalisation and duplicate key detection, for up to 200 rows.","exampleAgentPrompt":"Can you run a string normalisation and duplicate key check on my soil moisture observations? Here are 4 records: row-1 on 2026-10-01, station group-a, moisture 10%, depth 1cm; row-2 on 2026-10-02, group-b, 20%, 2cm; row-3 on 2026-10-03, group-a, 15%, 3cm; row-4 on 2026-10-04, group-b, 30%, 4cm.","exampleUseCases":[{"title":"Pre-pipeline soil data audit","prompt":"Before I load these 150 soil moisture readings into my database, can you check them for duplicate row IDs and normalize any inconsistent station group name formats? The records have fields: row_id, station_group, date, moisture_percent, and depth_cm."},{"title":"Multi-station duplicate detection","prompt":"I've collected soil moisture observations from several field stations and I suspect some records got logged twice. Can you run a duplicate key report on these rows and also normalize the station group strings so I can trust the grouping?"},{"title":"Data quality check before reporting","prompt":"I need to produce a clean soil moisture report for our agronomy team. Can you audit these sensor readings — up to 80 rows — for duplicate keys and normalize the string fields like station_group and date before I hand them off?"}],"resultDescription":"Two structured analytical reports returned together: (1) a string normalisation report highlighting inconsistent or non-standard string values in fields like station_group and date across the submitted rows, and (2) a duplicate key report identifying any rows sharing the same key combinations (e.g. row_id or station_group + date). No external data is fetched; all analysis is performed locally on the submitted records.","failureModes":["Submitting more than 200 rows returns an error or truncates input","Missing required fields (row_id, station_group, date, moisture_percent, depth_cm) cause validation rejection","Invalid date format (not YYYY-MM-DD) triggers schema error","Empty rows array rejected (minItems: 1)","Numeric fields outside supported range may cause processing errors"],"whenToPreferThis":"Choose this endpoint when you need fast, offline data quality analysis specifically on soil moisture observation records with moisture_percent and depth_cm fields, and you want both string normalisation and duplicate key detection in a single low-cost call. Ideal for pre-ingestion auditing, ETL validation pipelines, or preparing sensor data for downstream analysis without needing live lookups or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T12:49:52.602Z","isFirstParty":false,"canonicalSlug":"soil-moisture-observations-string-normalisation-duplicate-key-report-820b65b6"}