Skip to main content

Documentation Index

Fetch the complete documentation index at: https://docs.ixo.world/llms.txt

Use this file to discover all available pages before exploring further.

IXO Oracles are autonomous AI agents that provide verifiable services through decentralized identity, secure data storage, and blockchain integration.

​
Key Components

Identity Layer

DID-based domains with verifiable credentials

AI Layer

Langraph framework for cognitive workflows

Storage Layer

Encrypted Matrix rooms and vector stores

Blockchain Layer

Impact Hub integration via MultiClient SDK

​
Oracle Domain

​
DID Configuration

{
  "@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"
  }]
}

​
Memory Storage

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
)

​
AI Workflows

​
Langraph Integration

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()

```python

```javascript
import { Langraph, Flow } from '@emerging/sdk';

// Create verification flow
const flow = await Flow.create({
  name: 'device_verification',
  inputSchema: {
    measurements: 'DeviceTelemetry',
    baseline: 'BaselineData'
  }
});

// Add processing nodes
await flow.addNode({
  name: 'validate_data',
  type: 'DataValidation',
  rules: validationRules
});

await flow.addNode({
  name: 'analyze_patterns',
  type: 'AnomalyDetection',
  model: anomalyModel
});

await flow.addNode({
  name: 'verify_compliance',
  type: 'ComplianceCheck',
  standards: ['GS_MMECD_1.0']
});

// Deploy flow
await flow.deploy();