Meteostat JSON API

Name: Meteostat JSON API
Brand: Meteostat JSON API
Availability: InStock

✓ Official Vendor SpecData EnrichmentAddress ValidationapiKey10 EndpointsREST

For Agents

Query historical weather and climate normals from Meteostat by station or geographic point, hourly through monthly granularity.

Install Jentic One Beta

Connect the Meteostat JSON API to your agent

Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the Meteostat JSON API, or any other public or private API you need. You set the rules, the agent never sees your credentials, and every call is logged.

Two steps, two machines. Install the instance in a safe environment, then register your agent from wherever it runs.

Step 1: Jentic One Host machine

# On the machine that will host your Jentic One instance:
curl -fsSL https://raw.githubusercontent.com/jentic/jentic-one/main/tools/install.sh | sh

Step 2: Agent machine

# On the machine where your agent runs (keep this separate from the instance):
curl -fsSL https://raw.githubusercontent.com/jentic/jentic-one/main/tools/install.sh | sh
jentic register       # connects your agent to your Jentic One instance

Jentic One is in public beta. The setup above keeps your agent separate from the instance, which is what you want before using real credentials: an agent running as the same OS user as Jentic One can read its stored keys directly. Just evaluating? A single local install is fine to start. See the secure deployment guide for the tiers.

Capabilities

What an agent can do with Meteostat JSON API.

Find the nearest weather stations to a given latitude and longitude for site-specific lookups

Pull hourly historical observations for a station to backfill a research dataset

Retrieve daily aggregated weather records for a station between two dates

GET STARTED

Start building with Meteostat JSON API

Explore with Jentic

View OpenAPI Document

Use Cases

Patterns agents use Meteostat JSON API for, with concrete tasks.

★ Climate-Aware Agriculture Analytics

Agriculture analytics teams backtest yield models against historical weather. Meteostat lets the agent fetch daily and monthly observations for a farm's coordinates and align them with crop calendars. The /point endpoints accept a lat/long directly so the agent does not need to pre-resolve a station ID.

GET /point/daily for the farm coordinates and date range, then aggregate the response by month for the yield model

Insurance Claim Verification

Insurance teams validate weather-related claims by retrieving the conditions at the time and place of an incident. The agent calls /stations/nearby for the incident coordinates, picks the closest active station, and then fetches /stations/hourly for the hour in question. Climate normals from /stations/normals provide a baseline for whether the conditions were unusual.

GET /stations/nearby for the incident coordinates, then GET /stations/hourly for the chosen station around the incident timestamp

Climate Normals for Site Planning

Real-estate, energy, and infrastructure planning workflows benchmark sites against long-term climate normals. The /stations/normals and /point/normals endpoints return reference-period averages so the agent can compare candidate sites on temperature, precipitation, and other climate dimensions. These rolls forward into a structured comparison report.

GET /point/normals for each candidate site coordinate and compare the returned averages on temperature and precipitation

AI Agent Integration via Jentic

An AI agent uses Jentic to discover Meteostat by intent search ('get historical weather'). Jentic returns the relevant /point or /stations operation with its input schema, so the agent fetches observations in a single load-and-execute step. The RapidAPI key sits in the Jentic vault and never enters the agent's prompt.

Use Jentic to search 'get historical weather for a location', load the /point/daily schema, and execute it for the user's chosen coordinates and date range

Key Endpoints

10 endpoints — the meteostat json api provides access to a large archive of historical weather and climate data from thousands of weather stations worldwide.

METHOD

PATH

DESCRIPTION

GET

/stations/nearby

Find nearby weather stations by geo location

GET

/stations/meta

Get metadata for a weather station

GET

/stations/hourly

Get hourly weather data for a station

GET

/stations/daily

Get daily weather data for a station

GET

/stations/normals

Get climate normals for a weather station

GET

/point/daily

Get daily weather for a geographic location

GET

/point/hourly

Get hourly weather for a geographic location

GET

/point/normals

Get climate normals for a geographic location

GET

/stations/nearby

Find nearby weather stations by geo location

GET

/stations/meta

Get metadata for a weather station

GET

/stations/hourly

Get hourly weather data for a station

GET

/stations/daily

Get daily weather data for a station

GET

/stations/normals

Get climate normals for a weather station

Why Jentic?

Three things that make agents converge on Jentic-routed access.

Credential isolation

RapidAPI keys are stored encrypted in the Jentic vault (MAXsystem) and injected into the `X-RapidAPI-Key` header at request time. The raw key never enters the agent's prompt.

Intent-based discovery

Agents search by intent (e.g. 'get historical weather') and Jentic returns the matching /point or /stations operation with its schema, skipping the Meteostat docs.

Time to first call

Direct integration: half a day to wire RapidAPI auth, pagination of observations, and date-range handling. Through Jentic: under 15 minutes — search, load schema, execute.

FAQs

Specific to using Meteostat JSON API through Jentic.

What authentication does the Meteostat JSON API use?

The API is hosted on RapidAPI and expects an `X-RapidAPI-Key` header (the `rapidApiKey` security scheme in the spec). Through Jentic the key is stored in the MAXsystem vault and injected at request time, so it never enters the agent's prompt.

Can I query weather without knowing a station ID?

Yes. The /point/hourly, /point/daily, /point/monthly, and /point/normals endpoints accept latitude and longitude directly and synthesise observations from nearby stations, so the agent does not need to pre-resolve a station.

How do I find the closest weather station to a location?

Call GET /stations/nearby with the latitude and longitude. The response lists stations sorted by distance, which the agent can then drill into via /stations/meta or any of the observation endpoints.

Are climate normals available?

Yes. /stations/normals and /point/normals return long-term reference-period averages, suitable for site planning, climate research, and benchmarking unusual events.

How do I pull historical weather through Jentic?

Search Jentic for `get historical weather for a location`, load the /point/daily operation (or the station-based equivalent), and execute it with coordinates and a date range. Jentic returns the structured response.

Are there published rate limits?

Rate limits are governed by the RapidAPI plan attached to your account, not by the OpenAPI spec. Inspect your RapidAPI dashboard for the per-second and per-month quotas tied to your subscription.