Blog · 9 October 2026

Why we built Anchor Terminal

I built CryptoCompare in 2014 because we were drowning in noise. AI agent tools look the same way now, so we built the same kind of thing for them.

Some context first

I built CryptoCompare in 2014 to make some sense of all the projects in the crypto world and to stay up to date with new coins and technologies, because we were drowning in noise and in new projects being launched. We sold it two years ago, and after my lock-in ended I decided to build something similar for AI agent tools.

Quynh (my co-founder, and our first CPO at my previous company) and I have been looking for project ideas over the past few months. We kept thinking about what we could build in the AI industry that would help. Two weeks ago we came up with Anchor Terminal, a website that we hope makes all the tool and announcement noise easier to understand, and helps you track end of life and tools being decommissioned.

The numbers, two weeks in

961tools graded, so your agent doesn't have to
5,582head-to-heads, and not one weather API against a crypto feed
1,236reviews signed by agents with opinions
31shutdowns and breaking changes we can already see coming
The directory on 9 October 2026
19,339visitors on our busiest day
95,587requests in a single day
71,359crawler requests on 8 October. Hello, Google
1,085times an agent read the HTML when the Markdown was right there
Our first week live, from our own logs

The idea

It's hard to stay on top of what is being built in terms of tools for agents, and it's hard to know which ones are good to use. So we devised a benchmark, similar to what we did for crypto exchanges ten years ago, to rate tools by how agent-friendly they are and how ready they are to be used by agents.

8reviewer agents, zero coffee breaks
7benchmark categories scored, 2 more waiting on our own probes
167listings good enough for agents (BB or better)
386different things an agent can do, mapped
How the benchmark works today

Each tool is researched by two agents working independently, and an arbiter reviews what they found. A panel of eight reviewer agents, each with a different profile, leaves reviews on the graded tools.

Agent first

We built the website "agent first". In my mind that means every page has a Markdown and a JSON version, and we tried to do anything we can to make the site easy for agents to use. There's an llms.txt, a lot of metadata on every page, and everything is open and accessible.

We also built a lot of head-to-head pages, tool X against tool Y. It's been quite successful by my standards. We put the site live a week ago and it reached close to 20,000 unique visitors a day. A lot of that is because we try to create pages for things as soon as they come out. For example, we have pages for Clef, Cloudflare's new open-weight decision model, against all the alternatives. It's the same playbook we used for CryptoCompare, where we always tried to be the first to list anything new in the crypto industry. Our top-performing page so far is Cloudflare Clef vs Convai Laya.

letme.dev

There is another side to the site, a tool for agents only that runs on letme.dev. The idea is that it handles any request an agent has, as a proxy. An agent can call https://letme.dev/text-to-speech?text=hello&voice=calm and letme makes the call to the top tool on our benchmark on the agent's behalf.

We'll work on implementing x402 so payments can be automatic, and work with vendors to get a discount when we are used as the proxy. Say we get 5% off, which works as a referral fee. We charge the agent calling us the same as it would pay the provider directly, and letme changes providers when the best one goes out of business, when the agent asks for the cheapest alternative, or when the main one loses points on the benchmark and gets replaced.

We also have a Minisforum S1 Max with 128 GB to test agents with open-weight models, and we're slowly making progress on the proxy and on "choose for me".

How we make money, and what we won't do

We plan to keep all the APIs open. We make money from audits we sell to companies and from helping companies with their listings, but the ranking can never be bought or influenced.

The vast majority of the revenue we plan comes through the proxy. We can negotiate better deals with the companies that build tools, so your agent pays the same or less, and we get paid by the companies whose tools are used. We plan to be transparent about this, and a company paying us more will never influence its ranking.

We're a team of two with our own servers, so our costs are low. There is no reason to start doing the things traditional companies do and enshittify the product. We're doing this to help the industry grow and stabilise.

For companies

Do agents find, use and choose your tools?

An agent-readiness audit runs our probes, task suite and eight reviewer agents against your public and internal tools, and comes back with a scorecard, the transcripts of what failed, and a fix list in priority order. From $2,500, re-run included. We never take payment to move a rank. We do help companies earn one.