Sun Position Grounding Data for AI Agents

Overview

A solar position API. Sun Position works by analyzing the location provided and calculating sun position data. It uses advanced algorithms to calculate data such as altitude, azimuth, and distance of the sun from the location and returns the sun position data.

Live Test Sun Position Grounding Data for AI Agents Source →

The tool

Once your client is connected to the VerveContext server, this appears in its tool list as SunPositionGroundingDataforAIAgents. It is read-only and open-world — it fetches and never mutates anything on your side — so most clients call it without asking you to confirm.

{
  "name": "SunPositionGroundingDataforAIAgents",
  "arguments": {
    "lat": "37.7749",
    "lon": "-122.4194"
  }
}

You do not name the tool yourself; the model picks it. Asking about 37.7749 in the terms this source covers is enough for it to reach for SunPositionGroundingDataforAIAgents on its own — naming it explicitly also works, and is the way to force the call.

Connecting

One server URL covers every source in the catalog, including this one. Authorization is OAuth: the client opens a browser once, and there is no key to paste into a config file.

{
  "mcpServers": {
    "vervecontext": {
      "url": "https://api.vervecontext.com/v1/mcp"
    }
  }
}

https://api.vervecontext.com/v1/mcp

Per-client setup — Claude, Cursor, VS Code, ChatGPT — is on the MCP setup page.

Arguments

These are the properties on the tool's inputSchema, so a well-behaved client validates them before the call is made. Premium arguments are accepted on every plan but only take effect on plans that include them.

What the model gets back

The result carries a structuredContent object matching the tool's declared outputSchema, so a client reads fields without parsing prose. status is "ok" and error is null on success; a null field means the value was not available for that input, not that the call failed.

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{
  "status": "ok",
  "error": null,
  "data": {
    "date": "01-16-2026",
    "time": "14:30",
    "timezone": "America/Los_Angeles",
    "timestampUTC": "2026-01-16T22:30:00.000Z",
    "coordinates": {
      "latitude": 37.7749,
      "longitude": -122.4194
    },
    "sun": {
      "altitude": 0.41616137328975444,
      "azimuth": 0.5817558808515568,
      "altitudeDegrees": 23.844,
      "azimuthDegrees": 33.332,
      "compassBearing": 213.332,
      "isDaylight": true,
      "declination": -20.7961,
      "rightAscension": 19.9228,
      "hourAngle": 2.174,
      "distance": 0.983786
    },
    "equationOfTime": -9.88,
    "airMass": 2.454,
    "clearSky": {
      "directNormal": 702.4,
      "globalHorizontal": 284.9
    },
    "shadowRatio": 2.254,
    "panelAim": {
      "tilt": 66.07,
      "azimuth": 213.44
    }
  }
}

Response fields

Paths are relative to data. Premium fields are absent rather than zeroed on plans that do not include them, so check for presence instead of comparing to 0.

Why ground on it

A model can produce something that looks like this answer from its training data, and be confidently out of date or simply wrong. This source returns the current value in a shape you can check, which is the difference between an answer you can cite and one you have to hedge.

Point an evaluation at timestampUTC: it is the field most worth pinning a claim to, and it is either present and current or absent — never plausibly invented.

Failure modes

Errors come back as tool errors carrying a sentence the model can act on, not a bare status code. Error handling covers the full list.

A call costs 2 credits each time the tool actually runs; a model that reasons about the tool without calling it costs nothing.

Use cases

Golden Hour Photo Planning

To help photographers capture natural light, mobile photography guides check solar altitude and compass bearings to forecast golden hour windows.

Smart Blind Automation

Lower automated window shades when incoming sun altitude and bearing show direct glare striking specific building facades.

Architectural Glare Analysis

Building design software computes sun elevation angles across the day to evaluate interior daylighting and orient office windows.

Athletic Field Orientation

When setting up temporary sports pitches, venue managers check compass bearings to align player sightlines away from the setting sun.

Other ways to use Sun Position Grounding Data for AI Agents

Set up Sun Position Grounding Data for AI Agents on VerveContext, or reach the same source a different way. Your VerveContext account and credits work on all of them — one key, one balance.

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