What We’re Building: The ReadyTools API Platform

There is a difference between building an API and building infrastructure that other developers can actually depend on.

That distinction is at the center of the ReadyTools API Platform.

We are building a developer-first API platform for web data, SEO, crawling, structured web context, and the infrastructure around them — with a simple goal:

make powerful web capabilities fast, predictable, and accessible without forcing developers to build the infrastructure themselves.

This is not a launch announcement. The platform is still being built, tested, benchmarked, and hardened.

But we think it is worth sharing where we are heading.

Built around Go from the ground up

The core of the platform is being built in Go.

Not because Go is fashionable, but because the architecture benefits from what it provides: low runtime overhead, predictable concurrency, efficient networking, and a strong foundation for long-running workloads.

The API layer, crawling infrastructure, job processing, and the systems around them are being designed with that in mind.

Node.js still has a role where browser-based rendering is actually required, but it is not the foundation of the platform.

That distinction matters.

We want the expensive and demanding parts of the system to run on infrastructure that is efficient by design — rather than continuously adding resources to compensate for an inefficient runtime.

Speed is an engineering requirement, not a marketing number

For an API, “fast” does not mean having one impressive benchmark.

Real performance means keeping latency predictable when requests become concurrent, when external websites are slow, when caches are cold, and when background workloads are running at the same time.

That is why the platform is being built around several layers of protection against unnecessary work.

Caching.

Request coalescing.

Connection and concurrency limits.

Controlled outbound traffic.

Efficient job processing.

Short failure paths.

And, importantly, measurements that let us see where time is actually being spent.

Our current engineering targets for ReadyTools-owned processing are in the range of:

• p50 below 50 ms

• p95 below 100 ms

• p99 below 200 ms

For complete requests involving external websites, the network and target server naturally become part of the equation. In those cases, our goal is not to pretend the internet is deterministic — it is to keep the ReadyTools portion of the request as small and predictable as possible.

We would rather publish a number we can reproduce than a number that only looks good in a benchmark.

Crawling is being treated as infrastructure

One of the more demanding parts of the platform is crawling.

A crawler that works for 100 pages is not automatically a crawler that works for 100,000.

At larger scales, completely different problems appear: concurrency, fairness, memory usage, database pressure, retries, target-site failures, duplicate work, job recovery, and what happens when something goes wrong halfway through a crawl.

The current production baseline is being designed around 100,000 pages per crawl.

The next major scale target is 1 million pages — but only after the system has enough real evidence to justify it.

We don't want a theoretical maximum.

We want a scale that can be demonstrated repeatedly without sacrificing correctness or reliability.

The web should not have to be rebuilt by every developer

The first capabilities are centered around the web itself.

That includes APIs for things such as:

• SEO and page analysis

• web context

• structured web data

• crawling

• page-level extraction

• color and utility APIs

• durable background jobs

The long-term direction is broader.

Developers should be able to take a URL, a website, or a web resource and obtain useful, structured information without having to build their own crawler, parser, retry system, caching layer, job queue, and infrastructure around it.

And because the output is structured, the same APIs can also become building blocks for applications and AI systems.

The important part is that the underlying data processing should remain deterministic wherever possible.

Designed for predictable behavior

Infrastructure becomes difficult when the happy path is the only path that has been designed.

The ReadyTools API Platform is being built with the opposite assumption.

Requests can be retried.

Jobs can be interrupted.

Targets can disappear.

Networks can fail.

A worker can stop unexpectedly.

A database can become temporarily unavailable.

A customer can send the same request more than once.

The platform therefore uses durable jobs, idempotency, controlled retries, leases, concurrency limits, caching, and multiple layers of resource protection.

These aren't features we want developers to think about.

They are infrastructure developers should be able to not think about.

Efficiency is part of the product

Infrastructure costs are ultimately developer costs.

If every request requires unnecessary compute, unnecessary database work, unnecessary network traffic, or unnecessary repeated crawling, someone eventually pays for it.

That is why cost efficiency is being treated as an architectural concern from the beginning.

The objective is not simply to make the platform cheap to operate.

It is to make the underlying work efficient enough that we can pass a meaningful part of that efficiency on to developers.

We are currently designing the eventual pricing to be below comparable services, while still maintaining the infrastructure required for reliable production workloads.

Exact pricing will come later.

We would rather finish understanding our real operating costs and usage characteristics before publishing numbers that later have to change.

Protection without turning the API into a bottleneck

A public API that interacts with the web has a particularly difficult problem.

The platform has to protect itself without unnecessarily slowing down legitimate traffic.

That means rate controls, outbound limits, abuse protection, caching, resource budgets, and failure handling all have to work together.

The architecture is being designed so that protection is part of the request path — but not something that requires expensive work for every normal request.

We are also treating outbound reputation as a first-class infrastructure concern.

The platform should not respond to every failure by blindly changing where traffic comes from. Correctness, target responses, network failures, and actual infrastructure failures need to remain distinguishable.

That philosophy extends throughout the system:

fail deliberately, recover deliberately, and never hide an infrastructure problem behind random behavior.

API-first. No unnecessary abstraction layer.

The ReadyTools API Platform is being built as an API platform.

Not as a dashboard that happens to have an API.

The goal is for developers to be able to integrate it directly into their own products, automations, websites, internal systems, and AI workflows.

That means the important parts are things like:

• clear API contracts

• predictable errors

• reliable authentication

• transparent usage

• durable asynchronous jobs

• webhooks

• SDK support

• documentation

• observable request behavior

• predictable billing

The interface developers interact with should be simple.

The infrastructure underneath it can be considerably more sophisticated.

We are deliberately not rushing the scale numbers

It is tempting to advertise enormous crawl limits, tiny latency numbers, or massive throughput before the system has actually earned them.

We're taking a different approach.

First prove it.

Then optimize it.

Then increase the limit.

Then prove that again.

That is particularly important for workloads such as large crawls, where a system can look extremely fast for a short period and still fall apart under sustained load.

The goal isn't to win a benchmark once.

The goal is to build infrastructure that continues behaving predictably after the benchmark is over.

What's coming next

The platform is moving toward a broader developer API surface, stronger documentation and contracts, more durable background processing, larger crawl workloads, better caching and freshness handling, SDKs and more infrastructure for developers building directly on top of ReadyTools.

There is still a lot to build.

There is also a lot we deliberately aren't talking about yet.

Some of the most important work is happening below the surface: reliability engineering, abuse resistance, resource isolation, failure recovery, cost controls, and the small implementation decisions that determine whether an API remains reliable after it becomes busy.

Those details may not make the most exciting launch announcement.

They are exactly what we want the platform to be built on.

Built to be useful before it is impressive

The ReadyTools API Platform is not being built to become another enormous API marketplace.

It is being built around a simpler idea:

give developers reliable building blocks for working with the web, and make those building blocks fast, predictable, and reasonably priced.

We are still building.

We are still benchmarking.

We are still finding things that need to be changed.

And that is intentional.

When the platform is ready, we want the infrastructure underneath it to be just as important as the endpoints developers see.

ReadyTools API Platform is coming.

And we're building it properly first.