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    Model-Based Hourly Forecast by Address

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    Hour-by-hour forecast for any U.S. coordinate, 0 to 48 hours ahead, with the nearest available hour reported. $0.0002 per call with details. Batch up to 500 locations.

    Overview

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    Model-Based Hourly Forecast by Address returns forecast hours for any U.S. coordinate. Set hours_ahead from 0 to 48 and the response reports the forecast hour actually used, so you always know which hour you received.

    Each forecast hour carries a core set of roughly 40 variables, including temperature, dewpoint, humidity, wind speed, gust and direction, precipitation, visibility, pressure, hail size, lightning rate, reflectivity and a tornado rotation score. Units are stated in each field name.

    Pricing is $0.0002 per call with details=true, or $0.0002 per location through the batch route for up to 500 locations. The lean response is free. Forecast hours carry fewer fields than current conditions, and this is weather data, not a hazard or damage assessment.

    Built by Atlas United. Not affiliated with NOAA or the NWS.

    Highlights

    • Hourly forecast for any U.S. coordinate, 0 to 48 hours ahead, with the forecast hour used stated in every response.
    • Roughly 40 core variables per hour including hail size, lightning rate and a tornado rotation score.
    • $0.0002 per call, or per location in a batch of up to 500. Free lean response.

    Details

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    Pricing

    Model-Based Hourly Forecast by Address

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    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)

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    Dimension
    Description
    Cost/unit
    Hourly forecast calls
    One hourly forecast call or one batch location, priced per call
    $0.0002

    AI Insights

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    Dimensions summary

    This listing uses one usage-based dimension. You pay per hourly forecast call, with no seats, plans, or contracts. Each call returns a forecast for a U.S. coordinate, forecasting hours 0 to 48 ahead. A batch request counts as one call and covers up to 500 locations. Pricing scales directly with how many calls you make, so your cost tracks your usage. You add a prepaid balance and draw it down per call. Free preview responses are available before you commit to a billed pull.

    Top-of-mind questions for buyers

    One call is a single request to the forecast endpoint for a U.S. coordinate, returning hours 0 to 48 ahead. A batch request counts as one call and covers up to 500 locations. The response snaps to the nearest available hour and reports which hour was used.
    No. A batch request counts as one call regardless of how many locations it includes, up to 500. You pay the same per-call price whether you query one coordinate or a full batch, so batching many locations into one call reduces per-location cost.
    Preview responses cost nothing and need no token. They show counts and the exact price first. Billing applies only when you make the real pull with your API key. Your prepaid balance drops per call made. There are no seat fees or platform minimums.
    atlasunited.io
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    Vendor refund policy

    Usage is billed only for records returned to you. If a response was billed in error, such as a failed pull or a duplicate charge, contact us within 30 days with the reference_id from the response and we will review it and refund or credit the billed usage. Records already delivered and correctly billed are not refundable. Contact: https://atlasunited.io/api 

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    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) .

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    Usage information

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    Delivery details

    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

    API

    To get started with Model-Based Hourly Forecast by Address, follow the instructions below.

    Prerequisites An active subscription to this listing on AWS Marketplace and any HTTP client or AI agent with HTTP access.

    Authentication

    1. After you subscribe, choose "Set up your account" and finish the short form. Your API key is shown once on that page. If you lose it, choose "Set up your account" again in AWS Marketplace to get a new key; the old key stops working.
    2. Send the key on every paid request in this HTTP header: Authorization: Bearer YOUR_API_KEY Replace YOUR_API_KEY with your actual key. Free previews need no key.

    Endpoint: GET <https://data.truefixr.com/v1/data> with dataset=weather and hours_ahead POST <https://data.truefixr.com/v1/data> accepts the same parameters as a JSON body. A batch route, POST <https://data.truefixr.com/v1/weather/batch>, takes up to 500 locations per call. Returns the hourly forecast for a US coordinate, up to 48 hours ahead. The request snaps to the nearest available forecast hour, and forecast_hour_used tells you exactly which hour you received.

    Query Parameters:

    ParamTypeDescription
    datasetstringweather (required)
    lat, lonnumberUS coordinate (required)
    hours_aheadint0 to 48 (required for the hourly forecast)
    detailsbooleantrue returns the full paid forecast. Omit for a free lean response.

    Example Request:

    curl "https://data.truefixr.com/v1/data?dataset=weather&lat=31.07&lon=-97.65&hours_ahead=12&details=true" \ -H "Authorization: Bearer YOUR_API_KEY"

    Example Request (batch, one location billed per entry):

    curl -X POST "https://data.truefixr.com/v1/weather/batch" -H "Content-Type: application/json" \ -H "Authorization: Bearer YOUR_API_KEY" -d '{"locations":[{"lat":30.27,"lon":-97.74,"label":"my-ref"}]}'

    Response Schema:

    {"location":{"lat":number,"lon":number},"forecast_hour_used":number,"valid_time":"UTC timestamp", "temperature_f":number,"humidity_pct":number,"wind_speed_mph":number,"wind_gust_mph":number, "precip_in":number,"pressure_mb":number,"alerts":[], "dataset":"weather","billed":boolean,"billed_usd":number,"unit_price_usd":number, "model_run_time":"UTC timestamp","served_at":"UTC timestamp"}

    Forecast hours carry the core conditions only. A null value means not available for that hour. Example Response:

    {"location":{"lat":31.0714,"lon":-97.6616},"forecast_hour_used":12,"temperature_f":75.0,"humidity_pct":89.5,"wind_speed_mph":11.5,"precip_in":0.86,"billed_usd":0.0002}

    Pricing: $0.0002 per call (or per location in a batch). Billing unit: hourly_forecast_calls.

    Error Codes

    StatusCodeMeaning
    400bad_requestA required parameter is missing or invalid. The detail field says which.
    401unauthorizedThe key is not valid.
    402payment_requiredA paid pull was requested without a valid key or enough prepaid balance.
    404not_foundNo data for that location or filter.
    422invalid_parameterA parameter value is not accepted. The response names the field and accepted values.
    429rate_limitedToo many requests. Wait and retry with exponential backoff.
    500, 502, 503server_errorTemporary server problem. Retry later.

    Error responses follow this structure: {"detail": "dataset=risk needs county+state, or lat+lon", "code": "bad_request", "request_id": "f38f7e69f7fb4ad4"} Quote the request_id (or the reference_id on a paid response) in a support request.

    Learn More Docs: https://atlasunited.io/api  Menu of every dataset, parameter and price: GET https://data.truefixr.com/v1/data  MCP server for AI agents: https://mcp.atlasunited.io/mcp 

    Support

    Vendor support

    Support: https://atlasunited.io/api  (docs, pricing, free previews). Email support is answered by the Atlas United team on business days. Every paid response carries a reference_id receipt you can quote in a support request.

    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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