Foursquare

Give your AI agent a map with 100 million places from Foursquare

Your AI agent searches the Foursquare Places database to recommend restaurants, find nearby stores, and share venue details during live conversations. Customers ask about locations and get rich answers including ratings, hours, photos, and tips. Location intelligence built into every chat.

Chosen by 800+ global brands across industries

Location intelligence, conversational

Your agent taps into Foursquare's database of 100M+ points of interest across 200+ countries, turning location questions into rich, data-backed answers.

Foursquare

Use Cases

Places discovered through conversation

Real scenarios where businesses use AI agents to turn Foursquare's location data into personalized, helpful recommendations during customer interactions.

Hotel Concierge Without the Front Desk

A hotel guest messages your chatbot at midnight asking for the nearest late-night pizza place. Your AI agent searches Foursquare Places with the hotel's coordinates, filters for restaurants open now, and returns the top three options with ratings, distance, and phone numbers. The guest orders dinner without calling the front desk. Your staff handles fewer concierge requests.

Local Discovery for Travel Platforms

A traveler planning a day in Barcelona asks your AI agent for the best tapas bars near the Gothic Quarter. The agent searches Foursquare by area, retrieves venue ratings and user tips, and presents a curated list with photos. The traveler books a spot based on real visitor feedback, all within your messaging platform.

Retail Store Locator with Rich Details

A customer asks where they can find your nearest retail location. Your AI agent queries Foursquare by brand name and the customer's coordinates, retrieves the matching store's address, business hours, and phone number, and provides directions context. The customer finds the store without navigating your website's clunky store locator page.

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Foursquare

Foursquare

FAQs

Frequently Asked Questions

How does the AI agent search for places near a specific location?

The agent sends latitude and longitude coordinates to Foursquare's Place Search API along with optional query keywords, category filters, and radius limits. Foursquare returns matching venues within the specified area. The agent can also use a city name through the 'near' parameter if exact coordinates are unavailable.

Can the agent show photos of a restaurant before the customer visits?

Yes. The agent uses Foursquare's Get Place Photos endpoint to retrieve user-generated images. You can filter photos by classification including food, indoor, outdoor, and menu. The agent returns photo URLs that can be displayed directly in the conversation.

What Foursquare data fields does the agent have access to?

Core fields include venue name, address, categories, coordinates, and distance. Rich fields include phone number, website, social media links, business hours, popular hours, ratings, price level, menu link, photos, tips, and features like WiFi availability and reservation support.

Does Tars store Foursquare venue data after a conversation ends?

No. The agent queries Foursquare's API in real-time during each conversation. Venue details, photos, and tips are fetched live and used only to answer the current question. No Foursquare data is stored in Tars after the interaction concludes.

Can the agent filter venues by price range and operating hours?

Yes. Foursquare's Search API supports min_price and max_price parameters on a 1 to 4 scale, plus open_now and open_at time filters. The agent applies these to return only venues matching the customer's budget and availability requirements.

How is this different from embedding Google Maps on my website?

Google Maps shows a map. Tars with Foursquare delivers a conversation. The agent understands context, asks clarifying questions like cuisine preference or budget, and presents curated results with ratings and tips. It works across WhatsApp and SMS too, not just your website.

What is the difference between Place Search and Nearby Places endpoints?

Place Search is optimized for finding specific venues by keyword, category, or name with high precision. Nearby Places is designed for discovery and check-in use cases, returning a broader range of points of interest including lesser-known spots near a coordinate. The agent selects the right endpoint based on the customer's intent.

Can the agent handle venue recommendations for international locations?

Yes. Foursquare covers 200+ countries and territories with 100M+ points of interest. The agent can search for venues anywhere in the world by passing the appropriate coordinates or city name. Tips and venue details are returned in the original language when available.

How to add Tools to your AI Agent

Supercharge your AI Agent with Tool Integrations

Don't limit your AI Agent to basic conversations. Watch how to configure and add powerful tools making your agent smarter and more functional.

Privacy & Security

We’ll never let you lose sleep over privacy and security concerns

At Tars, we take privacy and security very seriously. We are compliant with GDPR, ISO, SOC 2, and HIPAA.

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