Breezometer Google Pollen API

Name: Google Pollen API
Brand: Google Pollen API
Availability: InStock

★ Only Publicly Available OpenAPI DocumentMaps GeolocationPlaces SearchapiKey2 EndpointsREST

For Agents

Look up 5-day pollen forecasts (grass, tree, weed) for any latitude/longitude and fetch heatmap tiles via two Google Pollen API endpoints behind a Google Maps API key.

Install Jentic One Beta

Connect the Google Pollen API to your agent

Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the Google Pollen 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 Google Pollen API.

Get a 1-5 day pollen forecast for a coordinate via GET /forecast:lookup with latitude, longitude, and days

Render pollen heatmap tiles by zoom and x/y via GET /mapTypes/{mapType}/heatmapTiles/{zoom}/{x}/{y}

Filter forecasts by plant type (grass, tree, weed) using the plant detail flags on the lookup endpoint

GET STARTED

Start building with Google Pollen API

Explore with Jentic

View OpenAPI Document

Jentic publishes the only available OpenAPI specification for Google Pollen API, keeping it validated and agent-ready. Google Pollen API (formerly BreezoMeter Pollen) is part of Google Maps Platform and returns up to five days of pollen information at 1km resolution across more than 65 countries. Two endpoints cover the use cases: a JSON forecast lookup at GET /forecast:lookup that takes latitude, longitude, and an optional days range, and a heatmap-tile endpoint at GET /mapTypes/{mapType}/heatmapTiles/{zoom}/{x}/{y} for rendering pollen layers on a map. Authentication is a Google Maps API key passed as the key query parameter, which makes the API straightforward to wire into health, allergy, and weather applications.

Use Cases

Patterns agents use Google Pollen API for, with concrete tasks.

★ Allergy and wellness app forecasts

Power an allergy app that shows users the pollen forecast for their home and any saved locations. The client geocodes the location, then calls GET /forecast:lookup with location.latitude, location.longitude, and days=5 to get per-plant indexes. Localised category descriptions support multilingual users without bespoke translation work.

GET /forecast:lookup with location.latitude=40.7128, location.longitude=-74.0060, days=5, languageCode='en' and return the dailyInfo array with pollenTypeInfo per day.

Pollen heatmap layer on weather maps

Add a pollen heatmap layer on top of a base map so users can see where pollen is concentrated regionally. The frontend requests heatmap tiles by zoom/x/y from GET /mapTypes/{mapType}/heatmapTiles/{zoom}/{x}/{y}, choosing a mapType such as TREE_UPI, GRASS_UPI, or WEED_UPI. This is the same tile flow used in Google Maps Platform overlays.

GET /mapTypes/TREE_UPI/heatmapTiles/8/72/96 (with key) and render the returned PNG as a tile in the map's pollen overlay.

Outdoor activity planning

Help runners and cyclists plan workouts on lower-pollen days. The backend reads GET /forecast:lookup for the next five days and recommends outdoor sessions when the worst plant index falls below a configured threshold. Plant-specific filtering supports users with a known sensitivity to grass or ragweed.

GET /forecast:lookup for the user's location with days=5; for each day, take the maximum pollenTypeInfo[].indexInfo.value and surface days where the max < 3.

AI agent integration via Jentic

An agent answering 'how bad is the pollen tomorrow at my address?' can discover the Google Pollen API through Jentic, load the forecast lookup operation, and execute it without holding the Maps API key in its prompt context. Jentic injects the key as the query parameter at execution time and returns typed forecast data the agent can summarise.

Through Jentic, search 'get a pollen forecast for a location', load the GET /forecast:lookup operation, and execute with location.latitude, location.longitude, and days=3.

Key Endpoints

2 endpoints — jentic publishes the only available openapi specification for google pollen api, keeping it validated and agent-ready.

METHOD

PATH

DESCRIPTION

GET

/forecast:lookup

Pollen forecast for a latitude/longitude over 1-5 days

GET

/mapTypes/{mapType}/heatmapTiles/{zoom}/{x}/{y}

Pollen heatmap tile for a map zoom level

GET

/forecast:lookup

Pollen forecast for a latitude/longitude over 1-5 days

GET

/mapTypes/{mapType}/heatmapTiles/{zoom}/{x}/{y}

Pollen heatmap tile for a map zoom level

Why Jentic?

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

Credential isolation

Google Maps API keys for the Pollen API are stored encrypted in the Jentic vault and appended as the key query parameter at execution time. Agents call the forecast and tile operations by intent without ever embedding the raw key in code or prompts.

Intent-based discovery

Agents search Jentic for intents like 'get a pollen forecast for a location' and Jentic returns the GET /forecast:lookup operation with location.latitude, location.longitude, and days parameters typed, plus the heatmap-tiles operation when the agent needs imagery.

Time to first call

Direct Pollen API integration: a few hours to handle key restrictions, response parsing, and tile rendering. Through Jentic: under 15 minutes — search, load, execute.

FAQs

Specific to using Google Pollen API through Jentic.

Why is there no official OpenAPI spec for Google Pollen API?

Google Maps Platform documents the Pollen API in narrative form rather than publishing a downloadable OpenAPI specification. Jentic generates and maintains this spec so that AI agents and developers can call Google Pollen API via structured tooling. It is validated against the live API and kept up to date. Get started at https://app.jentic.com/sign-up.

What authentication does the Google Pollen API use?

It uses a standard Google Maps API key passed as the key query parameter on every request. Restrict the key by HTTP referrer or IP in the Google Cloud Console; through Jentic, the key is held in the encrypted vault and appended to /forecast:lookup and tile requests at execution time.

How many days of pollen forecast does the Google Pollen API return?

GET /forecast:lookup returns up to 5 days of pollen information when you pass days=5. Coverage spans more than 65 countries at 1km resolution, with separate indexes for tree, grass, and weed pollen on each day.

What are the rate limits for the Google Pollen API?

Pollen API quotas are managed through the Google Cloud Console as part of Google Maps Platform — daily request quotas and per-second QPS are configurable per project. Check your Cloud Console quotas page before fanning out heatmap-tile requests across many zoom levels.

How do I get a pollen forecast through Jentic?

Install with pip install jentic, then await client.search('get a pollen forecast for a location'), await client.load on the GET /forecast:lookup operation, and await client.execute with location.latitude, location.longitude, and days. Jentic appends the Maps API key at execution time.

Does the Google Pollen API support heatmap tiles?

Yes. GET /mapTypes/{mapType}/heatmapTiles/{zoom}/{x}/{y} returns PNG tiles for tree (TREE_UPI), grass (GRASS_UPI), and weed (WEED_UPI) heatmap layers. Use them as a tile overlay on a base map alongside the forecast lookup data.