About LatencyRadar

LatencyRadar is an independent platform for measuring how APIs and online services perform around the world.

We continuously benchmark the services developers rely on, including AI providers, infrastructure platforms, and public APIs, from multiple global locations, using the same measurement methodology over time.

The goal is simple:

Make API performance easier to see, compare, and understand.

What LatencyRadar measures

LatencyRadar runs independent measurements from locations across Europe, North America, Asia, and other regions.

For each request, we can measure the individual parts that contribute to latency, including:

  • DNS lookup
  • Connection time
  • TLS handshake
  • Time to first byte (TTFB)
  • Total response time

For AI APIs, we also track metrics such as time to first token where applicable.

By collecting these measurements continuously, LatencyRadar can show not only how a service performs today, but how that performance changes over time and across regions.

Independent benchmarks

A core part of LatencyRadar is its public benchmark dataset.

We regularly measure APIs and services under consistent conditions so developers can answer questions such as:

  • Which AI providers respond fastest?
  • Does a provider perform differently in Europe, Asia, or the Americas?
  • Has an API become slower over the last week or month?
  • How much latency comes from the network versus the provider itself?
  • How does performance change when using a gateway or intermediary?

The aim is not to rank companies based on marketing claims, but to publish observable measurements and the methodology behind them.

Commercial relationships, sponsorships, or paid research do not change benchmark results or conclusions.

Monitor your own APIs

LatencyRadar also lets developers measure their own websites and APIs from the same global infrastructure used for public benchmarks.

This makes it possible to compare your own performance with the wider ecosystem and identify regional problems before they become user complaints.

No account is required to run a basic test.

Built around long-term data

A single latency test is useful.

A continuously collected history is much more useful.

LatencyRadar is building a historical dataset of API performance across providers, regions, and time. As that dataset grows, it becomes possible to identify regressions, regional differences, infrastructure changes, and longer-term trends that are difficult to see from isolated tests.

The long-term vision is:

LatencyRadar measures how the APIs the internet depends on perform around the world, and lets you monitor your own alongside them.

Who is behind LatencyRadar

Daniel Martínez

Daniel Martínez
Founder, MarCas Code

LatencyRadar is an independent project created by Daniel Martínez, a software and product engineer based in the Netherlands.

It started from a practical need to understand how software performed for users far away from the server running it. What began as a simple multi-region latency tester has since grown into a broader effort to make global API performance more transparent.