Asura
Run by davenicoll.com
How to detect Asura
Asura signs its requests, so you detect it by verifying the cryptographic signature on each request. A valid signature proves the request came from davenicoll.com; a copied user agent without the signature does not.
- Detection method
- SignedThe agent signs its requests, so its identity is verified cryptographically.
- Signals that identify it
- CryptographicA signed request verified cryptographically
- BehavioralAutomated clicks, typing and page flow instead of a person's
Every signal Verisoul checks for Asura
Asura signs its requests, so we verify who it is cryptographically, then check the rest of the session.
- Used
Cryptographic
A signed request verified cryptographically
- Not used
Network
Not needed to identify it
- Not used
Device
Not needed to identify it
- Used
Behavioral
Automated clicks, typing and page flow instead of a person's
How often you'll see it
Very uncommon
Rare, brand new, or not seen on Verisoul traffic yet
Questions about Asura
How do you detect Asura?
Asura signs its requests, so you detect it by verifying the cryptographic signature on each request. A valid signature proves the request came from davenicoll.com; a copied user agent without the signature does not.
What is Asura?
Asura is an AI agent from davenicoll.com that works in a browser and signs its requests.
Does Asura identify itself?
Yes. Asura signs its requests cryptographically, which is the strongest way an agent can identify itself.
Can a bot pretend to be Asura?
Not convincingly. A bot can copy Asura's user agent, but without davenicoll.com signing keys its requests fail verification and it is not labeled Asura.
How common is Asura?
Very uncommon. Rare, brand new, or not seen on Verisoul traffic yet.
What does the Verisoul API return for Asura?
Every session Verisoul identifies as Asura carries an agent block with id "asura", name, provider, type "ai_agent", detection_method "signed" and the detection_signals used (cryptographic, behavioral). Build rules on the id, type and detection method.