Skip to content
Eden Engine
Get started

SNOTEL Hourly Snow, Temperature and Precipitation Report (USDA NRCS)

usdasnotelreport/get-hourly-report

An hourly report for one NRCS SNOTEL (or SCAN) station over the past 1 to 7 days: observed air temperature (degrees F), snow water equivalent (inches), snow depth (inches) and precipitation accumulation (inches), one row per hour (up to 168 rows). Station triplets look like 302:OR:SNTL. Values are automated and provisional, subject to revision, and SNOTEL air temperature carries a known sensor bias. USDA NRCS data, served by Eden Engine; not an official USDA product.

activeper callv1

Price

$0.0026 per call

You pay the price shown. If a call turns out to cost more than its quote, you pay the actual price, capped at twice the quote. No monthly minimum. Top-ups start at $0.50.

Data source

USDA Natural Resources Conservation Service

Data from the USDA Natural Resources Conservation Service (NRCS) National Water and Climate Center, SNOTEL network. Provisional data, subject to revision. Served by Eden Engine; not an official USDA product.

Use it

Five steps: search, inspect, learn, run, settle. No per-tool setup; your agent reaches this tool through the meta-tools it already has.

Connect once and your AI can find and run this tool, and any other it needs.

Install itCreate an account
agent
// 1. search: find the tool
omnial_search({ query: "what you need" })

// 2. inspect: price and input schema
omnial_inspect({ tool: "usdasnotelreport/get-hourly-report" })

// 3. learn: read the usage guide at runtime
omnial_learn({ tool: "usdasnotelreport/get-hourly-report" })

// 4. run: price the exact call first, then run it
omnial_execute({ tool: "usdasnotelreport/get-hourly-report", input: { /* see input_schema */ }, dry_run: true })
omnial_execute({ tool: "usdasnotelreport/get-hourly-report", input: { /* ... */ } })

// 5. settle: the call is charged when it finishes, nothing to do

Not connected yet? Point your MCP client at https://mcp.eden-engine.com/mcp, then copy a config for your client.

Pricing

Every charge this tool can incur.

ChargePrice
Per call
$0.0026
Updated
Oct 25, 2026

Input and output schemas

Input schema
input_schema.json
{
  "type": "object",
  "required": [
    "triplet"
  ],
  "properties": {
    "days": {
      "type": "integer",
      "default": 1,
      "maximum": 7,
      "minimum": 1,
      "description": "How many past days to return, 1 to 7, counting back from now."
    },
    "triplet": {
      "type": "string",
      "pattern": "^[0-9]{1,5}:[A-Z]{2}:(SNTL|SCAN|SNTLT|MSNT)$",
      "description": "Station triplet <station id>:<two-letter state>:<network>, for example 302:OR:SNTL (Aneroid Lake #2, Oregon, 7430 ft). Networks: SNTL (SNOTEL), SCAN, SNTLT, MSNT."
    }
  },
  "additionalProperties": false
}
Output schema
output_schema.json
{
  "type": "object",
  "required": [
    "columns",
    "rows",
    "rowCount"
  ],
  "properties": {
    "asOf": {
      "type": [
        "string",
        "null"
      ],
      "description": "When NRCS generated the report."
    },
    "rows": {
      "type": "array",
      "items": {
        "type": "array",
        "items": {
          "type": [
            "string",
            "number",
            "null"
          ]
        }
      },
      "description": "One array per row in column order; empty cells are null."
    },
    "site": {
      "type": [
        "string",
        "null"
      ],
      "description": "The site line of the report, for example 'Oregon SNOTEL Site - 7430 ft'."
    },
    "range": {
      "type": [
        "string",
        "null"
      ],
      "description": "Reporting frequency and date range of the report."
    },
    "columns": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Column names; the first is Date."
    },
    "rowCount": {
      "type": "integer",
      "description": "Rows returned."
    }
  },
  "additionalProperties": true
}