{"schemaVersion":"ready-scan.discovery-surface.v1","id":"urn:readyscan:corpus:buyer-question:agrograph-q140559310-answer-b0a9bc3519b09af09633","key":"buyer_question:agrograph-q140559310-answer-b0a9bc3519b09af09633","kind":"buyer_question","slug":"agrograph-q140559310-answer-b0a9bc3519b09af09633","canonicalUrl":"https://directory.readyscan.ai/corpus/buyer-question/agrograph-q140559310-answer-b0a9bc3519b09af09633","machineUrl":"https://directory.readyscan.ai/discovery/corpus/buyer-question/agrograph-q140559310-answer-b0a9bc3519b09af09633.json","datePublished":"2026-10-21","dateModified":"2026-10-21","materialFingerprint":"fnv1a64:fa3de3d2d59374fb","membershipFingerprint":"fnv1a64:d53e4a0cb6b796f9","relatedEntitySlugs":["agrograph-q140559310"],"relatedSurfaceKeys":["buyer_question:agrograph-q140559310-answer-25c8f4eb6368833c8521","buyer_question:agrograph-q140559310-answer-876d45de7f04e78b1bd0","buyer_question:agrograph-q140559310-answer-b36aa39606f1bdb6758f","buyer_question:agrograph-q140559310-answer-cd3733e338ed2bc468a1","buyer_question:agrograph-q140559310-answer-da306c17f3ed0e816aa8","evidence:agrograph-q140559310"],"sourceIds":["ready-scan-subjects"],"provenance":[{"snapshotId":"agrograph-q140559310-content-76178671442d19d6-snapshot","sourceId":"ready-scan-subjects","sourceRecordId":"Q140559310","sourceRevisionId":"Q140559310:content:6fce0c0971ff2789","sourceContentHash":"fnv1a64:5ca88f7d9309423e","recordRevisionId":"Q140559310:content:6fce0c0971ff2789","recordContentHash":"fnv1a64:9c875fb32a7a022f","sourceCanonicalUrl":"https://www.agrograph.com/","sourceModifiedAt":"2026-10-21T07:27:54.339Z","observedOn":"2026-10-21","permission":{"basis":"public_information","evidenceUrl":"https://www.agrograph.com/"},"attributionUrl":"https://www.agrograph.com/"}],"quality":{"method":"same_kind_unique_trigram_floor","minimumUniqueTrigramRatio":0.3,"status":"passed"},"title":"How accurate are your predictions?","summary":"Cited source answers across 1 active corpus record.","question":"How accurate are your predictions?","answers":[{"entitySlug":"agrograph-q140559310","entityName":"Agrograph","answer":"“Accuracy varies based on geography, crop type, and desired insight. In general, corn and soybean predictions are the most accurate due to the large volume of available ground truth data. We provide use-case specific accuracy rates in discovery calls.”","sourceUrls":["https://www.agrograph.com/"]}]}