Agify.io API for Age Prediction and Demographics

Overview

Agify.io offers a specialized API that predicts the likely age of an individual based solely on their first name. The service analyzes extensive datasets of names and their associated age distributions to provide an estimated age. This capability is particularly useful for developers and businesses looking to enrich user data, conduct market segmentation, or personalize digital experiences without requiring direct age input from users.

The core product, the Age Prediction API, accepts a first name as input and returns a predicted age along with a count of how many individuals with that name were used in the prediction model. This count can serve as an indicator of the prediction's statistical confidence. For example, a name with a higher count might yield a more reliable age estimate. The API is designed for simplicity, requiring minimal integration effort due to its straightforward request-response structure.

Typical use cases for Agify.io include enhancing customer relationship management (CRM) systems with demographic insights, informing targeted advertising campaigns, and tailoring content recommendations based on inferred age groups. For instance, an e-commerce platform might use the predicted age to suggest products more relevant to a specific demographic, or a content publisher could customize article recommendations. While the API provides an estimate, it can serve as a valuable data point when direct age information is unavailable or undesirable to collect.

Agify.io operates on a freemium model, offering a free tier for up to 1,000 requests per day, which allows developers to test and integrate the API into smaller applications. Paid tiers provide increased request volumes suitable for larger-scale operations. The API's design prioritizes ease of use, with documentation focused on practical examples for quick implementation. As noted in the developer experience, the API relies on direct HTTP requests rather than official SDKs, which means developers will use standard HTTP client libraries in their preferred programming languages to interact with the service.

While the API does not provide 100% accurate age determination for every individual, its statistical approach can reveal general demographic trends and patterns. This makes it a tool for aggregate analysis and personalization strategies, rather than a definitive identity verification service. The utility of such a service is recognized in various data enrichment contexts, including those discussed by industry observers on the Mozilla Developer Network's data enrichment overview.

Key features

• Age Prediction from Name: Predicts an individual's likely age based on their first name using statistical models and global naming data.
• Confidence Indicator: Each age prediction includes a 'count' field, indicating the number of data points used for that specific name, offering insight into the prediction's statistical robustness.
• Simple HTTP Interface: The API is accessible via standard HTTP GET requests, making it compatible with virtually any programming language or environment.
• Free Tier Availability: Provides a free tier allowing up to 1,000 requests per day for testing and low-volume applications.
• Scalable Paid Tiers: Offers various paid plans to accommodate higher request volumes, suitable for commercial applications and extensive data processing.
• Minimal Documentation: Documentation focuses on direct API usage examples, ensuring developers can quickly understand and implement the service without extensive setup.
• No Official SDKs: Relies on direct HTTP client implementations, giving developers flexibility in choosing their preferred libraries.

Pricing

Agify.io offers a free tier for initial use and testing, with paid plans available for higher request volumes. Pricing is structured based on the number of requests per month.

Pricing data as of 2026-05-28. For the most current details, refer to the official Agify.io pricing page.

Common integrations

Agify.io's straightforward API design allows it to be integrated into various systems and workflows. Since there are no official SDKs, integration typically involves making direct HTTP requests from within an application or platform.

• Customer Relationship Management (CRM) Systems: Integrate into platforms like Salesforce CRM or HubSpot to enrich contact profiles with inferred age data for better segmentation and personalized communication.
• Marketing Automation Platforms: Use predicted age to segment audiences and tailor email campaigns, ad targeting, or content delivery in tools like Mailchimp or Marketo.
• E-commerce Platforms: Enhance product recommendation engines or personalize user interfaces on platforms like Shopify or WooCommerce by incorporating age-based insights.
• Business Intelligence (BI) Tools: Feed age data into BI dashboards and reporting tools to gain demographic insights from customer databases for strategic decision-making.
• Data Warehousing Solutions: Store age predictions alongside other customer data in data warehouses (e.g., AWS Redshift, Google BigQuery) for comprehensive analysis and historical tracking.
• Content Management Systems (CMS): Personalize website content or article recommendations based on the inferred age of visitors.
• User Onboarding Flows: Incorporate age prediction during user registration to gather demographic insights without explicit age collection, provided legal and privacy considerations are met.

Alternatives

Developers seeking demographic data APIs have several options beyond Agify.io, each with distinct features or broader scopes.

• Genderize.io: Specializes in predicting gender from a first name, often used in conjunction with age prediction for more complete demographic profiling.
• Nationalize.io: Focuses on predicting the nationality of a person based on their name, providing insights into ethnic or national origins.
• FullContact: Offers a broader suite of person-level data enrichment services, including social profiles, demographics, and contact information, by matching email addresses or social handles.
• Clearbit: Provides B2B data enrichment, focusing on company and contact information for sales and marketing intelligence.
• People Data Labs: Offers a comprehensive database of professional and personal profiles for data enrichment and identity resolution.

Getting started

Integrating Agify.io into an application typically involves making a simple HTTP GET request to its API endpoint. The primary language example provided is cURL, demonstrating how to query the API with a name parameter. The response will be in JSON format, containing the predicted age and a count indicating the number of data points used for the prediction.

To begin, you will need a first name to pass as a query parameter. The API endpoint is straightforward, requiring only the name parameter. For instance, to predict the age for 'Michael', you would construct a URL like https://api.agify.io?name=michael. No API key is strictly required for the free tier, making initial testing very accessible.

Here's a basic example using cURL to query the Agify.io API:

curl "https://api.agify.io?name=michael"

The API will return a JSON response similar to this:

{
  "name": "michael",
  "age": 57,
  "count": 2068407
}

In this response, "name" echoes the input name, "age" is the predicted age, and "count" indicates the statistical sample size for that name. A higher count generally suggests a more robust prediction. For more detailed instructions and additional examples for different programming languages, developers can consult the Agify.io API documentation.

When moving beyond the free tier or requiring more advanced features, you may need to register for an API key and pass it with your requests, typically as a header or query parameter, though the documentation for Agify.io indicates a focus on simplicity without mentioning API keys for basic usage. Always refer to the latest Agify.io API reference for specific authentication and usage details if your usage exceeds the free tier or requires secured access.