Genderize.io Pricing: Plans, Free Tier, & Cost Examples (2026)

Pricing overview

Genderize.io provides an API service for predicting the gender of a person based on their first name. The pricing model is primarily subscription-based, structured around the volume of API requests made per month. This approach allows users to select a plan that aligns with their anticipated usage, ranging from a free tier for minimal activity to higher-volume paid plans for commercial applications. The service aims to offer a predictable cost structure, where the monthly fee corresponds to a defined allowance of API calls. Additional requests beyond a plan's limit are typically charged at an overage rate, providing flexibility for fluctuating usage while maintaining cost control. This model is common among data enrichment and analytics APIs, allowing developers to integrate gender prediction capabilities into their applications without significant upfront investment. For instance, similar usage-based pricing models are employed by other API providers, such as Twilio for communication services or Stripe for payment processing, where costs scale with transaction volume or API calls (Stripe pricing models overview).

The core offering revolves around a simple API endpoint that accepts a first name and returns a predicted gender, along with a probability score and the count of names observed in the underlying dataset. This data can be instrumental in various applications, from personalizing user experiences in marketing campaigns to segmenting demographics in market research. Understanding the cost per request is crucial for businesses to accurately budget for data enrichment initiatives. The tiered pricing structure ensures that smaller projects or individual developers can access the service affordably, while larger enterprises can scale their usage without encountering prohibitive costs. The service also emphasizes compliance with data protection regulations, such as GDPR, which can be an important consideration for businesses operating in regulated markets (Genderize.io documentation).

Plans and tiers

Genderize.io offers several plans designed to accommodate different levels of API usage. Each plan includes a specific number of API requests per month and is priced accordingly. The following table outlines the key plans, their monthly costs, and the associated request limits, based on information provided on the official Genderize.io pricing page (Genderize.io pricing details).

Each plan is designed to scale, offering progressively lower costs per request as the volume increases. The overage rates allow for flexibility when monthly request volumes occasionally exceed the plan's included allowance, preventing service interruptions. Users can typically monitor their usage through a dashboard provided by Genderize.io, enabling them to upgrade or adjust their plan as their needs evolve.

Free tier and limits

Genderize.io provides a free tier that allows users to make up to 1,000 API requests per day. This free tier is designed to enable developers and individuals to test the API's functionality, integrate it into proofs-of-concept, or use it for very low-volume personal projects without incurring any cost. The daily limit resets every 24 hours, providing consistent access for ongoing, limited use. This free access is a common strategy among API providers, allowing potential customers to evaluate the service's utility and ease of integration before committing to a paid plan. For example, many cloud providers like Google Cloud and AWS offer extensive free tiers for their services to encourage adoption and experimentation (Google Cloud Free Tier details).

The free tier serves as an entry point, allowing users to understand how the Genderize.io API works, the accuracy of its predictions, and its response times. While 1,000 requests per day might seem substantial for individual testing, it translates to approximately 30,000 requests per month, which can quickly be consumed by applications with moderate user bases or batch processing requirements. It is important for users to monitor their daily request count to avoid hitting the limit, as exceeding it will result in temporary service unavailability until the next daily reset. For continuous operation or higher volumes, transitioning to a paid plan becomes necessary to ensure uninterrupted access and potentially better performance guarantees, as paid plans often come with dedicated infrastructure or higher priority support. The clear delineation between the free and paid tiers helps users plan their usage and budget effectively.

Real-world cost examples

To illustrate the practical implications of Genderize.io's pricing, consider the following real-world scenarios:

1. Small-scale personal project: A developer creates a personal website that offers a fun tool to predict the gender of names. They anticipate around 500 unique name lookups per day.
   • Usage: 500 requests/day.
   • Cost: This usage falls well within the 1,000 requests/day free tier. The monthly cost would be $0.
   • Justification: The daily limit is sufficient for this low-volume, non-commercial use case, making the free tier an ideal starting point.
2. Startup with moderate user growth: A new mobile application needs to personalize content based on user gender upon signup. They expect 1,500 new user signups per day, each requiring one gender prediction API call.
   • Usage: 1,500 requests/day, which is approximately 45,000 requests/month.
   • Cost: This exceeds the free tier's daily limit. The Starter plan ($19/month for 50,000 requests) would be the most suitable. The 45,000 requests would be covered by the plan's allowance.
   • Justification: The Starter plan provides sufficient headroom for initial growth and avoids daily interruptions from the free tier limit, offering a predictable monthly cost.
3. Marketing agency running a campaign: An agency needs to enrich a list of 150,000 leads with gender information for targeted email marketing. This is a one-time batch processing task.
   • Usage: 150,000 requests for the batch.
   • Cost: The Basic plan ($49/month for 200,000 requests) would cover this. The total cost would be $49 for the month the processing occurs. If they only need it for one month, they can subscribe for that month and then downgrade or cancel.
   • Justification: The Basic plan accommodates the batch size efficiently, with a cost-per-request significantly lower than using overages on a smaller plan.
4. E-commerce platform with high personalization needs: A large e-commerce site dynamically adjusts product recommendations based on gender for 1.2 million active users monthly, requiring a gender lookup for each session.
   • Usage: 1,200,000 requests/month.
   • Cost: The Premium plan ($249/month for 1,500,000 requests) would be appropriate. The total cost would be $249.
   • Justification: This plan provides ample capacity for high-volume, continuous usage, offering a favorable cost-per-request for enterprise-level operations.
5. Data analytics firm with fluctuating, very high demand: A firm regularly processes client datasets, with monthly volumes varying from 3 million to 5 million requests.
   • Usage: 3,000,000 to 5,000,000 requests/month.
   • Cost: This level of usage would require the Enterprise plan. A custom quote would be necessary, but based on the Premium plan's overage rate, a general estimate might be around $249 (for 1.5M requests) plus 1.5M to 3.5M overage requests. At $0.20 per 1,000 requests, 3.5M overage requests would be $700. So, a hypothetical monthly cost could range from $249 + $300 (for 1.5M overage) to $249 + $700 (for 3.5M overage), totaling $549 to $949 before custom discounts.
   • Justification: The Enterprise plan offers custom pricing and potentially dedicated infrastructure or support, which is critical for such high-volume, mission-critical applications where performance and reliability are paramount.

How the pricing compares

When evaluating Genderize.io's pricing, it is useful to compare it against alternative gender prediction APIs available in the market. Competitors often offer similar tiered pricing models, but with variations in free tier generosity, monthly request allowances, overage rates, and additional features.

• Gender-API.com: This alternative offers a free tier of 500 requests per month, which is less generous than Genderize.io's 1,000 requests per day. Paid plans for Gender-API.com start at around $10 for 5,000 requests, scaling up to larger volumes. While Gender-API.com might appear cheaper at very low volumes, Genderize.io's free daily allowance can be more beneficial for consistent, low-level testing.
• Name API: Name API provides a broader set of name analysis features, including gender, origin, and ethnicity. Their pricing model is also subscription-based, often starting at a higher price point due to the enriched data provided. For instance, a basic plan might begin around $29 for 20,000 requests. If a user only requires gender prediction, Genderize.io could offer a more cost-effective solution. However, if comprehensive name data is needed, Name API might justify its higher cost.
• Namsor: Namsor specializes in gender and ethnicity prediction from names, particularly focusing on global coverage and accuracy. Their pricing tends to be positioned at the higher end, catering more towards enterprise clients with complex international data needs. A starter plan might begin around $50 for 10,000 requests. For basic gender prediction, Genderize.io offers a significantly more affordable entry point, while Namsor targets scenarios requiring advanced linguistic analysis and compliance features.

Overall, Genderize.io's pricing structure is competitive within the niche of gender prediction APIs. Its free tier is notably generous compared to some competitors, making it accessible for individual developers and small projects. The scaling of its paid plans also demonstrates a reasonable cost-per-request decrease as volume increases, which is a key factor for businesses planning long-term integration. The choice between Genderize.io and an alternative often comes down to the specific volume required, the need for additional name-related data beyond just gender, and budget constraints. For straightforward, high-volume gender prediction, Genderize.io provides a strong value proposition, especially at its mid-to-high tier plans.