Pricing overview

Nationalize.io provides a tiered pricing structure designed to accommodate varying levels of API usage, from individual developers to large enterprises. The service predicts the most likely nationality of a person based on their name, offering probabilities for multiple countries. The core of its pricing model is based on the number of API requests made per month, with higher tiers offering a lower per-request cost. Users can begin with a free tier to assess functionality before committing to a paid plan. Detailed pricing information is available on the Nationalize.io pricing page.

The API operates by accepting a name as a parameter and returning a JSON object containing an array of country IDs and their associated probabilities. For example, a request for ?name=peter might return a high probability for Germany (DE) and a lower probability for the United States (US). This data can be used for demographic analysis, marketing segmentation, or personalization efforts. For developers integrating similar data services, understanding usage-based pricing models is crucial, as many APIs, such as those for geocoding like the Google Maps Geocoding API, also employ this approach.

Plans and tiers

Nationalize.io offers several plans, each providing a specific number of monthly requests at a set price. These plans are structured to scale with usage, allowing users to upgrade or downgrade as their needs evolve. All paid plans include access to the same core API functionality, with the primary differentiator being the volume of requests permitted.

The plans are typically named to reflect their capacity, such as 'Small', 'Medium', and 'Large'. Each plan includes a monthly request quota. If a user exceeds their plan's quota, additional requests may be charged on a pay-as-you-go basis, though specific overage policies should be confirmed on the official Nationalize.io pricing page. This model is common among data APIs, where computational resources and data access are directly proportional to the number of calls made to the service. For instance, payment gateway APIs like Stripe's pricing model also often incorporate usage-based fees for transactions.

Below is a summary of the typical plans and their features:

Plan Monthly Price Monthly Requests Best For
Free $0 1,000 Testing, small personal projects, hobbyists
Small $9 10,000 Independent developers, startups, initial product integration
Medium $49 100,000 Growing applications, small businesses, marketing campaigns
Large $99 500,000 Mid-sized businesses, data analysis projects, frequent lookups
Extra Large $199 1,000,000 Enterprises, high-volume data processing, large-scale personalization

Free tier and limits

Nationalize.io offers a free tier that allows users to make up to 1,000 API requests per month without any charge. This free tier is designed for evaluation purposes, enabling developers to test the API's functionality, integrate it into a proof-of-concept, or use it for very low-volume personal projects. The free tier provides full access to the core nationality prediction capabilities, identical to the paid tiers, thus ensuring a consistent experience during development and testing.

The primary limitation of the free tier is the request volume. Once the 1,000-request limit is reached within a billing cycle, subsequent requests will typically result in an error or require an upgrade to a paid plan. There are generally no other functional limitations on the free tier, such as reduced accuracy or slower response times, ensuring that users can accurately gauge the API's performance. For further details on the free tier and its specific terms, users should consult the Nationalize.io API documentation.

Real-world cost examples

To illustrate Nationalize.io's pricing, consider several scenarios based on typical usage patterns:

  • Scenario A: Hobbyist Developer
    A hobbyist developer building a side project that occasionally predicts nationality for user-submitted names. They anticipate making around 500 requests per month. This usage falls comfortably within the free tier limit of 1,000 requests per month, resulting in a cost of $0 per month.
  • Scenario B: Startup with Moderate Usage
    A startup integrating nationality prediction into their user profiling system. They expect to process approximately 8,000 names per month. This usage exceeds the free tier but fits within the 'Small' plan, which offers 10,000 requests per month for $9. Their monthly cost would be $9.
  • Scenario C: Marketing Analytics Campaign
    A marketing team running a campaign that needs to analyze the nationality distribution of 75,000 customer names for targeted advertising. This volume requires a higher tier. The 'Medium' plan, providing 100,000 requests for $49 per month, would be suitable, costing them $49 for the month of the campaign.
  • Scenario D: Enterprise Data Enrichment
    A large enterprise performing regular data enrichment on a customer database, processing 750,000 names monthly. This volume would necessitate the 'Large' plan (500,000 requests for $99) and potentially some requests into the 'Extra Large' plan (1,000,000 requests for $199) or an custom enterprise plan. Assuming they opt for the 'Extra Large' plan to cover their needs, their monthly cost would be $199.
  • Scenario E: Spiky Usage with Overage
    A small business on the 'Small' plan (10,000 requests for $9) experiences an unexpected surge in demand, making 12,000 requests in a month. If Nationalize.io charges for overages (typically at a higher per-request rate than the plan's bundled rate), their cost would be $9 for the plan plus the cost of 2,000 overage requests. For example, if overage is $1 per 1,000 requests, their total would be $11. Users should review the Nationalize.io pricing details for exact overage rates.

How the pricing compares

Nationalize.io's pricing model is broadly consistent with other specialized demographic prediction APIs. Its direct alternatives, such as Genderize.io and Agify.io (from the same developer), follow very similar, if not identical, tiered structures based on monthly request volumes. This consistency allows for straightforward comparisons when evaluating a suite of demographic APIs.

Compared to more general-purpose data APIs or large cloud provider services, Nationalize.io offers a focused service at a competitive price point for its specific functionality. For instance, while a cloud provider like AWS Comprehend offers advanced natural language processing, including entity recognition and sentiment analysis, its pricing model is more complex and typically higher for simple, single-purpose tasks like nationality prediction. Similarly, integrating a custom machine learning model for nationality prediction using services like Google Cloud AI Platform would involve significant development and operational costs, making specialized APIs like Nationalize.io more cost-effective for focused tasks.

Third-party API marketplaces, like RapidAPI, often host similar nationality prediction APIs, such as Shadow Query's Nationality by Name API. These marketplace APIs may offer different pricing tiers, sometimes with a combination of free quotas and pay-as-you-go rates. While marketplaces can offer a wider selection, direct providers like Nationalize.io often provide more transparent and predictable pricing for their core service, along with dedicated documentation and support for their specific API. When comparing, developers should consider not only the per-request cost but also factors like API reliability, documentation quality, and ease of integration, all of which contribute to the total cost of ownership.