This (agent detection) is now a kind of emerging space. Obviously it'll get much more important, too.

Other products in the space:

- Foil (https://usefoil.com/), I'm biased, a friend is building this

- Kasada https://www.kasada.io/

- DataDome (https://datadome.co/)

- Castle (https://castle.io/)

- Fingerprint (https://fingerprint.com/)

- HUMAN (http://humansecurity.com/)

- Google Cloud Fraud Defense, which is basically the updated reCaptcha (https://cloud.google.com/security/products/fraud-defense?hl=...)

- this, Cloudflare Precursor

It seems like some of the main reasons people care so far are:

- Preventing automated credential stuffing

- Preventing bots from creating a bunch of fake accounts (eg free trial abuse, which can also lead to high twilio SMS bills!)

- Reducing payment fraud

- Blocking LLM scraping

- Blocking automated scalpers (!) eg for tickers or sneakers

I'm curious to see which use cases end up dominating as the reason companies care about this. And I'm hopeful that my agents will still have good ways for me to browse and do things on the web on my behalf - eg detect agents and route them to an agent path, rather than blocking them.

(I'm interested in tools for detecting AI agents and seeing how this shifts as bot traffic goes way up.)

happy to offer a counter of some great products for anti-bot defeat:

https://brightdata.com/

https://www.zenrows.com/

https://www.capsolver.com/

https://scrapfly.io/

hundreds of millions of residential ips, human browser fingerprints, custom browser binaries, auto solve of turnstyle, recaptcha v3, kasada, datadome, AWS WAF, etc if they come up.

Darwinium (darwinium.com) is another example. Approach here involves a combination of profiling and step-transition probabilities; idea is that a customer can ring-fence a particular area of a digital estate where they might want to challenge or block an agent - eg a payment, due to chargeback risks. Precursor at least for now seems more focused on site scraping multiple docs from the same site.