{"uid":"cap_iYkrobYU9OCUhlixixPir","slug":"soil-moisture-observations-string-normalisation-keyed-dataset-50cc9a50","name":"Soil Moisture Observations — String Normalisation + Keyed Dataset Comparison","description":"Soil moisture observations — String normalisation + Keyed dataset comparison: String normalisation + Keyed dataset comparison 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-08-036?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}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"depth_cm":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"station_group":{"type":"string","default":"","maxLength":80},"moisture_percent":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","depth_cm":1,"station_group":"group-a","moisture_percent":10},{"date":"2026-10-02","row_id":"row-2","depth_cm":2,"station_group":"group-b","moisture_percent":20},{"date":"2026-10-03","row_id":"row-3","depth_cm":3,"station_group":"group-a","moisture_percent":15},{"date":"2026-10-04","row_id":"row-4","depth_cm":4,"station_group":"group-b","moisture_percent":30}],"maxItems":200,"minItems":1},"other":{"type":"array","items":{"type":"object","required":["row_id","station_group","date","moisture_percent","depth_cm"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","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":21},{"date":"2026-10-03","row_id":"row-3","depth_cm":3,"station_group":"group-a","moisture_percent":17},{"date":"2026-10-04","row_id":"row-4","depth_cm":4,"station_group":"group-b","moisture_percent":33}],"maxItems":200,"minItems":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_gC0Fx6cHm89j68BSbgYz_","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 strings and performs keyed dataset comparison across two sets of soil moisture observation records (moisture_percent, depth_cm), producing two analytical reports for up to 200 rows each.","exampleAgentPrompt":"I have two sets of soil moisture readings — up to 200 rows each with fields like row_id, station_group, date, moisture_percent, and depth_cm — can you normalize the strings and compare the two datasets by key to spot differences?","exampleUseCases":[{"title":"Cross-season soil moisture audit","prompt":"I have soil moisture readings from spring and autumn for the same stations — can you normalize the station group names and do a keyed comparison of the two datasets to see where moisture_percent or depth_cm values differ row by row?"},{"title":"Duplicate sensor data reconciliation","prompt":"We have two exports of soil sensor data from different systems with up to 150 rows each; please normalize the text fields and compare them by row_id to find any discrepancies in moisture_percent or depth_cm."},{"title":"Multi-group soil monitoring QA","prompt":"I've got two batches of soil moisture observations from group-a and group-b stations, both under 200 rows, and I need a string normalization pass plus a keyed dataset comparison to identify any mismatches between the two batches."}],"resultDescription":"Returns two independent analytical reports: one covering string normalisation applied to the supplied soil moisture observation records (station_group and other text fields), and one keyed dataset comparison highlighting differences between the 'rows' and 'other' datasets matched on row_id, surfacing discrepancies in moisture_percent and depth_cm values.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, date, moisture_percent, depth_cm) — validation error","Invalid date format not matching YYYY-MM-DD pattern — schema rejection","Empty rows array (minItems:1 not met) — validation error","Mismatched row_ids between datasets result in unmatched rows flagged in comparison output"],"whenToPreferThis":"Choose this endpoint when you need local, offline-style string normalisation and keyed comparison analytics on two sets of soil moisture tabular records without any live data lookup, prediction, or external enrichment. It is well-suited for data quality audits, reconciliation of dual-source sensor exports, or cross-period comparisons of moisture and depth readings at a very low flat cost ($0.01 USDC for two reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T18:50:26.322Z","isFirstParty":false,"canonicalSlug":"soil-moisture-observations-string-normalisation-keyed-dataset-50cc9a50"}