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    Waltsoft DataPulse NOAA HRRR Weather Forecast API

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    Deployed on AWS
    Quick Launch
    DataPulse is a weather forecast API for AI agents and developers: one GET call returns NOAA HRRR 3km surface forecast data (temperature, wind, precipitation, cloud cover) for any contiguous US coordinate, up to 18 hours ahead. Use it over REST, MCP or A2A.

    Overview

    What DataPulse does

    DataPulse turns a CONUS latitude/longitude into a structured weather forecast that an AI agent or a weather application can use directly.

    • GET /v1/forecast?lat=30.2216&lon=-97.6206&hours=6 returns temperature at 2m (degC), dew point at 2m (degC), wind speed at 10m (m/s) and direction (degrees), precipitation in the forecast hour (mm) and total cloud cover (%) for the requested hour, plus the HRRR run, the 3km grid cell used and the data credit.
    • Coverage: contiguous United States inside the HRRR grid (latitude 21-50, longitude -135 to -55). Hawaii and Alaska are not covered.
    • Forecast horizon: 1 to 18 hours ahead of the current UTC hour. HRRR runs hourly; DataPulse reads the newest run available, about 2-3 hours behind.

    Where the data comes from

    NOAA HRRR (High-Resolution Rapid Refresh), NOAA's 3km hourly forecast model for the contiguous United States. DataPulse reads each forecast point directly from the University of Utah HRRR Zarr archive (s3://hrrrzarr), listed with NOAA HRRR on the Registry of Open Data on AWS, and rotates the model's grid-relative winds to true north. Every response names the HRRR run and grid cell it used. If the archive cannot be read the API answers 503 and the call is not billed.

    • NOAA High-Resolution Rapid Refresh (HRRR) via the University of Utah HRRR Zarr archive on the Registry of Open Data on AWS. Not endorsed by NOAA.

    Three ways to connect

    Who it is for

    AI agents that need current weather conditions for routing, scheduling, or situational awareness; logistics and supply-chain pipelines; energy and solar-potential planning tools; and developers who need structured NOAA HRRR point data without handling model files.

    Billing

    On AWS Marketplace every successful call is one unit at $0.60, whatever the hours value, on your AWS bill. Errors (400, 401, 429) and source outages (503) are never billed. Rate limit: 100 requests per second, bursts up to 200.

    Highlights

    • NOAA HRRR 3km forecasts: temperature, dew point, wind speed and direction, precipitation and cloud cover for any CONUS coordinate, up to 18 hours ahead
    • Fail-closed and attributed: every answer names the HRRR run and grid cell used and carries the NOAA credit; if the HRRR archive cannot be read the API returns 503 and the call is never billed
    • Agent-ready: REST with an OpenAPI 3 schema, an MCP tool on Amazon Bedrock AgentCore Gateway and an A2A agent card; pay only for successful calls on your AWS bill

    Details

    Delivery method

    Integration protocol

    Supported services

    Deployed on AWS
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    Financing for AWS Marketplace purchases

    AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
    Financing for AWS Marketplace purchases

    Quick Launch

    Leverage AWS CloudFormation templates to reduce the time and resources required to configure, deploy, and launch your software.

    Pricing

    Waltsoft DataPulse NOAA HRRR Weather Forecast API

     Info
    Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Usage costs (1)

     Info
    Dimension
    Description
    Cost/unit
    API Call
    Single API call to the service
    $0.60

    Vendor refund policy

    No refunds for API calls already made. Contact support@waltsoft.net  within 7 days of billing issues.

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    Legal

    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Usage information

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    Delivery details

    Supported services:
    • Amazon Bedrock AgentCore
    API-Based Agents & Tools

    API-Based Agents and Tools integrate through standard web protocols. Your applications can make API calls to access agent capabilities and receive responses.

    Additional details

    Usage instructions

    To get started using the remote MCP server, follow the instructions below:

    Available Tools This MCP server (Amazon Bedrock AgentCore Gateway) supports the following tool:

    • datapulse___getWeatherForecast - NOAA HRRR 3km weather forecast for a CONUS coordinate. Arguments: lat (decimal degrees), lon (decimal degrees), hours (1-18, default 1), api_key

    Prerequisites

    • An active subscription to this product. Your API key (it starts with mp_) is stored in your AWS Secrets Manager after you choose Set up your account, and is also shown on the registration page.
    • Install Node.js and npm (for mcp-remote), or Python 3.10+ (for the Strands Agents SDK).

    Authentication The MCP endpoint needs no connection header. Pass your key as the api_key argument of every tool call; replace YOUR_API_KEY with your actual key below. A wrong or inactive key returns statusCode 401.

    MCP endpoint: https://waltsoft-marketplace-gateway-xncyjgs1uh.gateway.bedrock-agentcore.us-east-1.amazonaws.com/mcp 

    Claude Desktop Edit the configuration file at:

    • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
    • Windows: %APPDATA%\Claude\claude_desktop_config.json

    Add the below code:

    { "mcpServers": { "waltsoft-datapulse": { "command": "npx", "args": [ "mcp-remote", "https://waltsoft-marketplace-gateway-xncyjgs1uh.gateway.bedrock-agentcore.us-east-1.amazonaws.com/mcp" ] } } }

    Then ask, for example: "Use datapulse___getWeatherForecast with lat 30.2216, lon -97.6206, hours 6, and api_key YOUR_API_KEY".

    Strands Agents (Python)

    pip install strands-agents mcp from mcp.client.streamable_http import streamable_http_client from strands.tools.mcp import MCPClient URL = "https://waltsoft-marketplace-gateway-xncyjgs1uh.gateway.bedrock-agentcore.us-east-1.amazonaws.com/mcp" with MCPClient(lambda: streamable_http_client(URL)) as mcp: result = mcp.call_tool_sync("call-1", "datapulse___getWeatherForecast", {"lat": 30.2216, "lon": -97.6206, "hours": 6, "api_key": "YOUR_API_KEY"}) print(result["content"][0]["text"])

    Example tool result

    {"statusCode": 200, "result": {"coordinate": {"lat": 30.2216, "lon": -97.6206}, "forecast_hour": 6, "valid_time": "2026-10-22T21:00:00Z", "run": {"date": "20261022", "hour": 13, "forecast_hour": 8}, "grid": {"row": 221, "col": 895, "lat": 30.216, "lon": -97.629}, "source": "NOAA HRRR 3km CONUS (University of Utah HRRR Zarr archive, s3://hrrrzarr)", "attribution": "NOAA High-Resolution Rapid Refresh (HRRR) via the University of Utah HRRR Zarr archive on the Registry of Open Data on AWS. Not endorsed by NOAA.", "variables": {"tmp_2m": {"value": 28.7, "unit": "°C"}, "wind": {"speed_ms": 2.8, "direction_deg": 58}, "tcdc": {"value": 3, "unit": "%"}}}}

    Billing Each successful tool call is one AWS Marketplace unit ($0.60); errors are not billed.

    Data source NOAA High-Resolution Rapid Refresh (HRRR) via the University of Utah HRRR Zarr archive on the Registry of Open Data on AWS. Not endorsed by NOAA.

    Rate Limits

    • 100 requests per second (bursts up to 200).
    • Exceeding returns HTTP 429 Too Many Requests.
    • Use retry and exponential backoff to handle limits.

    Learn More API Docs: https://datapulse.waltsoft.net  Support: support@waltsoft.net 

    Support

    Vendor support

    Contact support@waltsoft.net . Documentation:

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

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