Overview

The GeoCode API provides access to DragonFire's geometric encoding and transformation system. It enables developers to represent data through optimized geometric patterns, transform data between different dimensional spaces, and apply mathematical transformations based on fundamental constants.

API Features

• Vector Transformations: Transform data vectors between different dimensional spaces
• Geometric Encoding: Convert data into optimized geometric representations
• Jitterbug Operations: Apply geometric folding patterns to data structures
• Phi-Resonant Processing: Optimize data representation using golden ratio patterns
• R-Space Transformations: Transform data in prime reciprocal spaces

Figure 1: GeoCode transformation operations and patterns

Authentication

The GeoCode API requires authentication using DragonFire API keys. Include your API key in the request headers as shown below.

Authorization: Bearer YOUR_API_KEY

Token-Based Authentication

For applications requiring higher security or user-specific permissions, you can also use JWT tokens, which can be obtained through the RWT Authentication API.

Authorization: Bearer JWT_TOKEN

Error Handling

The GeoCode API uses standard HTTP status codes and returns detailed error information in JSON format.

HTTP Status Codes

Error Response Format

{
  "error": {
    "code": "PARAMETER_INVALID",
    "message": "Dimension parameter must be between 3 and 13",
    "details": {
      "parameter": "dimensions",
      "provided": 15,
      "valid_range": [3, 13]
    }
  }
}

Common Error Codes

Rate Limits

The GeoCode API enforces rate limits based on your subscription tier. Rate limits are applied per API key.

Rate Limit Headers

The API includes rate limit information in the response headers:

X-RateLimit-Limit: 100
X-RateLimit-Remaining: 95
X-RateLimit-Reset: 1677721599

Vector Transformations

Transforms vector data between different dimensional spaces using geometric transformation patterns.

Request Parameters

Example Request

POST /v1/geocode/transform HTTP/1.1
Host: api.dragonfire.ai
Authorization: Bearer YOUR_API_KEY
Content-Type: application/json

{
  "data": [1.0, 2.0, 3.0],
  "source_dimensions": 3,
  "target_dimensions": 7,
  "transformation_type": "phi",
  "preserve_magnitude": true,
  "precision": "high"
}

Response

{
  "result": {
    "transformed_data": [0.618, 1.0, 1.618, 2.618, 4.236, 6.854, 11.09],
    "source_dimensions": 3,
    "target_dimensions": 7,
    "transformation_type": "phi",
    "magnitude": {
      "original": 3.741,
      "transformed": 3.741
    },
    "metrics": {
      "phi_resonance": 0.964,
      "harmonic_balance": 0.892,
      "dimensional_coherence": 0.978
    }
  }
}

Geometric Encoding

Encodes data into an optimized geometric representation.

Request Parameters

Example Request

POST /v1/geocode/encode HTTP/1.1
Host: api.dragonfire.ai
Authorization: Bearer YOUR_API_KEY
Content-Type: application/json

{
  "data": [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0],
  "target_geometry": "octahedron",
  "optimization": "phi",
  "precision": "high",
  "compression": true
}

Response

{
  "result": {
    "encoded_data": {
      "geometry": "octahedron",
      "vertices": [
        [1.0, 0.0, 0.0],
        [-1.0, 0.0, 0.0],
        [0.0, 1.0, 0.0],
        [0.0, -1.0, 0.0],
        [0.0, 0.0, 1.0],
        [0.0, 0.0, -1.0]
      ],
      "faces": [
        [0, 2, 4],
        [0, 4, 3],
        [0, 3, 5],
        [0, 5, 2],
        [1, 2, 4],
        [1, 4, 3],
        [1, 3, 5],
        [1, 5, 2]
      ],
      "data_mapping": {
        "dimension_scaling": [1.618, 2.618, 4.236, 6.854, 11.09, 17.944, 29.034],
        "vertex_weights": [0.3, 0.2, 0.15, 0.12, 0.1, 0.08]
      }
    },
    "metrics": {
      "phi_resonance": 0.978,
      "geometric_coherence": 0.942,
      "compression_ratio": 2.4
    }
  }
}

Geometric Decoding

Decodes data from a geometric representation back to its original form.

Request Parameters

Example Request

POST /v1/geocode/decode HTTP/1.1
Host: api.dragonfire.ai
Authorization: Bearer YOUR_API_KEY
Content-Type: application/json

{
  "encoded_data": {
    "geometry": "octahedron",
    "vertices": [
      [1.0, 0.0, 0.0],
      [-1.0, 0.0, 0.0],
      [0.0, 1.0, 0.0],
      [0.0, -1.0, 0.0],
      [0.0, 0.0, 1.0],
      [0.0, 0.0, -1.0]
    ],
    "faces": [
      [0, 2, 4],
      [0, 4, 3],
      [0, 3, 5],
      [0, 5, 2],
      [1, 2, 4],
      [1, 4, 3],
      [1, 3, 5],
      [1, 5, 2]
    ],
    "data_mapping": {
      "dimension_scaling": [1.618, 2.618, 4.236, 6.854, 11.09, 17.944, 29.034],
      "vertex_weights": [0.3, 0.2, 0.15, 0.12, 0.1, 0.08]
    }
  },
  "output_dimensions": 7,
  "precision": "high"
}

Response

{
  "result": {
    "decoded_data": [1.03, 2.01, 2.97, 4.02, 4.96, 6.05, 6.98],
    "metrics": {
      "reconstruction_accuracy": 0.982,
      "geometric_coherence": 0.956,
      "dimensional_integrity": 0.974
    }
  }
}

Jitterbug Operations

Applies Jitterbug transformations to geometric data structures, enabling morphing between different platonic solids.

Request Parameters

Example Request

POST /v1/geocode/jitterbug HTTP/1.1
Host: api.dragonfire.ai
Authorization: Bearer YOUR_API_KEY
Content-Type: application/json

{
  "source_geometry": "cube",
  "target_geometry": "octahedron",
  "data": {
    "vertices": [
      [1.0, 1.0, 1.0],
      [1.0, 1.0, -1.0],
      [1.0, -1.0, 1.0],
      [1.0, -1.0, -1.0],
      [-1.0, 1.0, 1.0],
      [-1.0, 1.0, -1.0],
      [-1.0, -1.0, 1.0],
      [-1.0, -1.0, -1.0]
    ],
    "values": [10, 20, 30, 40, 50, 60, 70, 80]
  },
  "transformation_ratio": 0.75,
  "preserve_energy": true
}

Response

{
  "result": {
    "transformed_geometry": {
      "type": "partial_octahedron",
      "vertices": [
        [0.75, 0.0, 0.0],
        [-0.75, 0.0, 0.0],
        [0.0, 0.75, 0.0],
        [0.0, -0.75, 0.0],
        [0.0, 0.0, 0.75],
        [0.0, 0.0, -0.75]
      ],
      "values": [32.5, 32.5, 35.0, 35.0, 40.0, 40.0],
      "transformation_metrics": {
        "completion_ratio": 0.75,
        "energy_preservation": 0.998,
        "geometric_coherence": 0.934
      }
    }
  }
}

Phi Resonance

Analyzes and optimizes data structures using golden ratio (phi) patterns.

Request Parameters

Example Request

POST /v1/geocode/phi-resonance HTTP/1.1
Host: api.dragonfire.ai
Authorization: Bearer YOUR_API_KEY
Content-Type: application/json

{
  "data": [1, 3, 7, 12, 20, 33, 54],
  "operation": "optimize",
  "depth": 4,
  "target_resonance": 0.98,
  "preserve_endpoints": true
}

Response

{
  "result": {
    "original_data": [1, 3, 7, 12, 20, 33, 54],
    "optimized_data": [1, 3, 5, 8, 13, 21, 54],
    "phi_metrics": {
      "original_resonance": 0.756,
      "optimized_resonance": 0.982,
      "sequence_analysis": {
        "fibonacci_alignment": 0.964,
        "golden_angle_coherence": 0.978,
        "phi_ratio_consistency": 0.991
      }
    },
    "phi_patterns": [
      {
        "type": "ratio",
        "locations": [1, 2, 3, 4, 5],
        "strength": 0.986
      },
      {
        "type": "spiral",
        "center": 3,
        "strength": 0.973
      }
    ]
  }
}

R-Space Transformations

Transforms data through prime reciprocal spaces for specialized mathematical operations.

Request Parameters

Example Request

POST /v1/geocode/r-space HTTP/1.1
Host: api.dragonfire.ai
Authorization: Bearer YOUR_API_KEY
Content-Type: application/json

{
  "data": [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0],
  "r_space": "R7",
  "operation": "rotate",
  "parameters": {
    "rotation_angle": 1.57,
    "rotation_plane": [2, 4],
    "normalize": true
  }
}

Response

{
  "result": {
    "transformed_data": [1.0, 2.0, 5.0, 4.0, -3.0, 6.0, 7.0],
    "r_space_metrics": {
      "space": "R7",
      "operation": "rotate",
      "preservation": {
        "magnitude": 0.998,
        "energy": 0.995,
        "phase": 0.957
      },
      "prime_resonance": 0.914
    }
  }
}

Vector Data

The GeoCode API works with vector data in various formats and dimensionalities.

Data Formats

• Single Vector: An array of numerical values
• Vector Array: An array of vectors
• Vector Map: A key-value mapping of named vectors
• Geometric Object: A structured representation of a geometric form

Examples

// Single Vector
[1.0, 2.0, 3.0, 4.0, 5.0]

// Vector Array
[
  [1.0, 2.0, 3.0],
  [4.0, 5.0, 6.0],
  [7.0, 8.0, 9.0]
]

// Vector Map
{
  "position": [1.0, 2.0, 3.0],
  "velocity": [0.1, 0.2, 0.3],
  "acceleration": [0.01, 0.02, 0.03]
}

// Geometric Object
{
  "type": "tetrahedron",
  "vertices": [
    [1.0, 1.0, 1.0],
    [1.0, -1.0, -1.0],
    [-1.0, 1.0, -1.0],
    [-1.0, -1.0, 1.0]
  ],
  "faces": [
    [0, 1, 2],
    [0, 1, 3],
    [0, 2, 3],
    [1, 2, 3]
  ],
  "values": [10, 20, 30, 40]
}

Transformation Parameters

Transformation operations accept various parameters to control the transformation process.

Common Parameters

Operation-Specific Parameters

Geometric Objects

The GeoCode API supports various geometric objects for encoding and transforming data.

Supported Geometries

• Point: 0-dimensional point in space
• Line: 1-dimensional line segment between two points
• Triangle: 2-dimensional triangle defined by three points
• Tetrahedron: 3-dimensional solid with four triangular faces
• Cube: 3-dimensional solid with six square faces
• Octahedron: 3-dimensional solid with eight triangular faces
• Dodecahedron: 3-dimensional solid with twelve pentagonal faces
• Icosahedron: 3-dimensional solid with twenty triangular faces

Geometric Object Structure

{
  "type": "string",        // Geometry type (e.g., "tetrahedron")
  "vertices": [
    [x1, y1, z1],         // Vertex coordinates
    [x2, y2, z2],
    ...
  ],
  "faces": [
    [v1, v2, v3],         // Vertex indices forming each face
    [v4, v5, v6],
    ...
  ],
  "values": [             // Optional values associated with vertices
    value1,
    value2,
    ...
  ],
  "properties": {         // Optional additional properties
    "property1": value1,
    "property2": value2
  }
}

Geometric Relationships