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Data feed

Open-Meteo

Retrieve weather forecasts, model comparisons and historical forecast runs for research around weather-linked prediction markets.

Visit official siteopen-meteo.com
Available on
REST API, JSON, CSV

Screenshots and interface

What is Open-Meteo?

Open-Meteo is an external weather API. For prediction-market research, its value is in comparing models and reconstructing what a forecast said at the time of a decision. The forecast grid, the eventual observed value and a contract’s named settlement station remain distinct data sources.

Who it is for

  • Researchers analyzing temperature and weather contracts
  • Developers building location-specific weather dashboards
  • Teams testing forecast-based models without future-data leakage

Features and coverage

Available on
REST API, JSON, CSV
Markets & venues
External weather data
Research topics
Weather
  • Forecast API

    Request current and hourly variables by coordinates.

  • Model selection

    Use best_match or choose individual weather models.

  • Historical reanalysis

    Retrieve long-run weather estimates for climate baselines.

  • Historical forecasts

    Use archived forecasts in a format similar to the live API.

  • Previous runs

    Compare fixed lead-time forecasts over a historical period.

  • Single model runs

    Select archived forecasts by initialization time.

  • Multiple outputs

    Use JSON, CSV or XLSX and query several coordinates.

  • Related APIs

    Explore ensemble, marine, air-quality and other documented weather products.

Workflows with Open-Meteo

Research a temperature contract

Read its station, unit, date and rounding rule, then request forecasts for the corresponding location. Compare model spread before relating the forecast to outcome buckets.

Backtest a forecast signal

Choose a forecast run available before the historical decision, preserve its initialization time and evaluate against the appropriate observed settlement series.

Build a weather panel

Request only the variables and locations required, cache the response and refresh according to model-update cadence.

Pricing and total cost

Non-commercial use is free up to the documented 10,000 daily calls without an API key. Commercial or higher-volume hosted use requires a subscription. Data attribution is required; the server code can also be self-hosted under its license.

Getting started

Before you start: A model grid point is not necessarily the contract’s official weather station observation.

  1. Read the weather contract’s exact settlement specification.
  2. Choose coordinates, variables, units and timezone.
  3. Select best_match or explicit models.
  4. For historical research, select forecast-run history rather than substituting reanalysis.
  5. Start with a bounded GET request.
  6. Choose the appropriate commercial-access plan for a product integration.

Forecast API documentation

Useful links

What to check

  • A model grid point is not necessarily the contract’s official weather station observation.
  • Reanalysis uses information that may not have been available at prediction time.
  • Model and archive start dates differ.
  • Daily maxima depend on timezone and reporting window.
  • Free hosted access is for non-commercial use; the data license and service-access terms are separate.

A closer look

Ratings & reviews

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Editorial rating
4.0/ 5
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Our take on Open-Meteo

Model selection, historical forecasts and clear access limits provide a strong weather-research foundation. Matching the contract's actual station, timezone and observation source remains essential.

Based on documented features, setup and access terms. How we rate

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Frequently asked questions about Open-Meteo

Is Open-Meteo a Polymarket bot?

No. It supplies weather context for a separate research or trading workflow.

Which history avoids look-ahead leakage?

Use archived forecast runs with an initialization time before the decision.

Does no API key mean unrestricted commercial hosting?

No. Commercial hosted use follows the subscription terms.

Can I compare several models?

Yes. Select individual models rather than only best_match.