ParkingAid Prediction API
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AI ReadinessAI-Aware (B)65/100
Official vendor OpenAPI document · agent-readyMaps GeolocationPlaces Searchbearer1 Endpoints
Install Jentic One Beta
Connect the ParkingAid Prediction API to your agent
Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the ParkingAid Prediction 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.
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Step 1: Jentic One Host machine
# On the machine that will host your Jentic One instance:
curl -fsSL "https://jentic.com/install.sh?src=apis&api=%2Fapis%2Fparkingaid.io%2Fparkingaid" | sh2
Step 2: Agent machine
# On the machine where your agent runs (keep this separate from the instance):
curl -fsSL "https://jentic.com/install.sh?src=apis&api=%2Fapis%2Fparkingaid.io%2Fparkingaid" | sh
jentic register # connects your agent to your Jentic One instanceJentic 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 ParkingAid Prediction API.
Retrieve parking availability predictions for a geographic location with configurable radius
Specify forecast timeframes such as 2h, 4h, or custom durations
Receive minute-by-minute availability scores for nearby parking blocks
Optionally include confidence metrics for each prediction to assess reliability
Use Cases
Patterns agents use ParkingAid Prediction API for, with concrete tasks.
★ Pre-Trip Parking Planning
Integrate ParkingAid predictions into navigation or ride-hailing apps to help users plan arrivals around parking availability. POST /v1/predictions with the destination coordinates, radius, and departure time offset (as timeframe) returns a forecast of availability scores. Users can adjust departure times or choose alternate locations based on predicted ease of parking.
POST /v1/predictions with location (lat, lng, radius), timeframe (e.g., '2h'), and include_confidence=true. Parse the blocks array and present the availability_score for each block in the response.
Event Parking Guidance
For event venues or stadiums, provide attendees with predicted parking availability windows. Query the API before event start time to surface high-confidence blocks with favorable scores, reducing circling and congestion. Embed predictions in event confirmation emails or venue apps.
POST /v1/predictions with the venue coordinates, a 500m radius, and a 3h timeframe covering the event window. Filter blocks by availability_score > 0.7 and confidence > 0.8 for reliable guidance.
Key Endpoints
1 endpoints — parkingaid prediction api provides minute-by-minute parking availability forecasts for specified locations using machine learning models trained on historical occupancy data.
METHOD
PATH
DESCRIPTION
POST
/v1/predictions
Retrieve parking availability predictions for a location
POST
/v1/predictions
Retrieve parking availability predictions for a location
Why Jentic?
What agents get from Jentic-routed access to this vendor.
Setup
Wiring the ParkingAid Prediction API by hand means setting up its bearer auth, shaping the /v1/predictions request, and handling retries yourself. Through Jentic you install once, import ParkingAid from the API Directory, store the token once, and your agent calls it.
Permission scoping
ParkingAid carries the location and time window in the request body, so scoping is by operation: limit the agent to the operations it needs, such as requesting availability forecasts. Since this API only returns predictions, the agent stays limited to read-only forecasting.
Credential isolation
Your ParkingAid bearer token is stored once, encrypted, by your own Jentic One instance and injected as the Authorization header at execution time. It never enters the agent's prompt, logs, or context.
Intent-based discovery
Agents search Jentic by intent such as 'parking availability forecast' or 'predict parking near a location', and Jentic returns the ParkingAid predictions operation with its input schema so the agent calls the right endpoint without browsing the reference docs.
Related APIs
Alternatives and complements available in the Jentic catalogue.
FAQs
Specific to using ParkingAid Prediction API through Jentic.
What authentication does the ParkingAid API use?
The API uses bearer token authentication. Jentic stores the bearer token encrypted and injects it as the Authorization header at execution time.
How accurate are the parking predictions?
Accuracy depends on the historical data density for the queried location and the confidence score returned per block. Higher confidence scores indicate more reliable predictions. Include confidence=true in the request to assess reliability.
What units are used for radius and timeframe?
Radius is specified in meters. Timeframe is a duration string like '2h' (2 hours) or '30m' (30 minutes). The API returns predictions covering the specified duration from the current time.
Can I limit what my agent is allowed to do with the ParkingAid Prediction API?
Yes. Because you run Jentic One yourself, your own rules decide which ParkingAid operations and credentials the agent may use. This API exposes a single read-only operation, the parking availability forecast call to POST /v1/predictions, so you can scope the agent to just that request and nothing more. The agent stays limited to requesting forecasts and cannot reserve spots, take payments, or reach any other endpoint.
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