About

The fastest commodity APIs
we could possibly build.

Oxide APIs exists because in 2026 a developer should not still be paying $49/month and waiting 800 ms for a server in us-east-1 to hash a string. We rebuilt the boring stuff — hashing, validation, barcodes — on Rust, WebAssembly and Cloudflare's 300-PoP edge, and listed the result at prices that make the legacy providers look like they're charging for the wrong thing.

What we build

Three small APIs today, each laser-focused on one chore that every backend ends up needing:

Why edge-native Rust changes the maths

Most utility APIs in this category were architected ten years ago: one or two regions, JVM or Node runtimes, a load balancer, an auth service, a metrics pipeline. Every request crosses continents, warms a JIT and burns through 200 ms before it does any work. The vendor passes that overhead on to you as a $0.001-per-request line item.

We chose a different stack:

The result, measured end-to-end: cold start under 5 ms, p99 typically under 15 ms globally, and a unit cost so low we can offer a free tier and still charge an order of magnitude less than the incumbents.

Who is this for?

Engineering principles

  1. Boring is a feature. These APIs solve well-defined problems. We don't add config flags people will never use.
  2. Latency over features. If a feature would push p99 above 20 ms, we don't add it.
  3. Open economics. Pricing tiers are public and listed against competitors. No "contact sales" walls.
  4. One health endpoint per API at /v1/health, unauthenticated. If we can't be observed, we can't be trusted.

How we differ from build-it-yourself

You could absolutely deploy a Lambda that hashes a string. We've all done it. By the time you have logging, retries, rotation, an SLA and an oncall rotation, you're spending more on the side-quest than on the rest of the application. Oxide APIs is the trade where you delete that side-quest and pay a few cents.

Contact & community

The fastest way to reach us is via the comments / messaging on any of the RapidAPI listings. For documentation, start with the per-API docs linked in the navigation. For machine-readable summaries (AI agents, LLM connectors), see /llms.txt.