Build intelligent prediction networks using AI-powered oracles with decentralized identity
{ "@context": ["https://www.w3.org/ns/did/v1"], "id": "did:ixo:oracle/123", "verificationMethod": [{ "id": "#key-1", "type": "Ed25519VerificationKey2018", "controller": "did:ixo:oracle/123", "publicKeyBase58": "..." }], "service": [{ "id": "#ai", "type": "LangraphService", "serviceEndpoint": "https://oracle.emerging.eco/ai" }] }
from emerging import VectorStore, Matrix # Initialize vector store store = VectorStore.create( type="weaviate", index="oracle_memory", schema={ "class": "Verification", "properties": ["context", "decision"] } ) # Create Matrix room room = Matrix.create_room( oracle_id="did:ixo:oracle/123", encryption=True )
from emerging import Langraph, Flow # Create verification flow flow = Flow.create( name="device_verification", input_schema={ "measurements": "DeviceTelemetry", "baseline": "BaselineData" } ) # Add processing nodes flow.add_node( "validate_data", type="DataValidation", rules=validation_rules ) flow.add_node( "analyze_patterns", type="AnomalyDetection", model=anomaly_model ) flow.add_node( "verify_compliance", type="ComplianceCheck", standards=["GS_MMECD_1.0"] ) # Deploy flow flow.deploy()
Was this page helpful?