EmbedEarth (E2)

EmbedEarth (E2) is the flagship spatial intelligence layer built by Outerview. Unlike traditional GIS tools that rely on static databases, E2 provides a live, semantic understanding of the physical world.

Core Capabilities

  • Real-time agent-based simulation
  • Natural language spatial queries
  • High-fidelity geofencing and polygon math

Authentication

Authentication for E2 is handled via the central Outerview Identity Provider. You must generate a secret key from your dashboard to sign your requests.

Setup Guide
1

Log in to Outerview

Navigate to the main portal at Outerview.ai and sign in with your enterprise credentials.

2

Access Account Settings

Click on your profile avatar in the top right and select Account from the dropdown menu.

3

Generate Secret Key

Locate the API Access section. Click "Generate New Key". Copy this string immediately—it will not be shown again.

Authorization: Bearer sk_live_...

Pricing & Usage

EmbedEarth uses a credit-based system. Credits are purchased via the Outerview dashboard and consumed based on query complexity and compute duration.

Hobby

For testing and small apps.

Free
  • • 1,000 requests / mo
  • • Standard latency

Pro

For production workloads.

$0.002 / call
  • • Unlimited requests
  • • Priority GPU access
  • • Custom Geofencing

Answer

Leverage our GIS-tuned LLM to answer complex spatial questions involving topology, demographics, or environmental data.

Parameters

promptstringThe spatial question to answer
context_radiusintegerSearch radius in meters
POST/v1/answer
{
  "status": 200,
  "answer": "Based on the topography, the northern ridge offers the optimal line-of-sight for the proposed antenna array.",
  "sources": [
    "elevation_model_v2",
    "land_use_registry"
  ],
  "meta": {
    "processing_time": "420ms"
  }
}

Fence

Determine if a specific coordinate or set of coordinates falls within defined custom polygon boundaries (Geofencing).

Parameters

pointobject{ lat: float, lng: float }
polygonsarrayList of polygon IDs to check against
POST/v1/fence
{
  "in_bounds": true,
  "polygon_id": "poly_zone_a",
  "distance_to_edge_meters": 14.5,
  "timestamp": "2024-01-15T12:00:00Z"
}

Simulate

Run agent-based simulations for traffic flow, crowd movement, or environmental changes over a specified duration.

Parameters

agentsintegerNumber of agents to spawn
durationintegerSimulation duration in seconds
behaviorstringModel profile (e.g., 'rush_hour', 'evacuation')
POST/v1/simulate
{
  "simulation_id": "sim_9921_alpha",
  "status": "queued",
  "estimated_completion": "12s",
  "preview_url": "https://api.interstar.io/render/sim_9921.mp4"
}