MouseCat

AI to fight financial crime

2.1Score#664 of 999 agents#12 of 15 in Financial-crime analyst

Why it ranks #664

MouseCat, an AI financial-crime analyst from YC W26, ranks #664 of 999 AI agents and #12 of 15 in Financial-crime analyst, with a score of 2.1 of 10. Data as of 3 Oct 2026.

The score adds four parts, each 0 to 10, by weight. Every point comes from public evidence. How scoring works ·

Proof 0 × 30% 0.0
Scale 3 × 30% 0.9
Momentum 1 × 25% 0.3
Autonomy 6 × 15% 0.9
= 2.1

Proof
Do customers use it? 30% of the score
0
No public claims of customers or revenue yet.
Not found: revenue or growth (+4), named customers (+3), a customer result (+2), a customer count (+2), work done at scale (+2)
Scale
Is there a real company behind it? 30% of the score
3
6 people.
- +3
  6 people on its YC page5 to 9 people
Not found: funding round in its news (+3)
Momentum
Is it shipping and growing now? 25% of the score
1
Shows a new batch.
- +1
  New: YC Winter 2026
Not found: launch YC post in the last 6 months (+3), open roles on YC (+2), new traction claim in the last 6 months (+2), funding news in the last year (+2)
Autonomy
How much of the job does it do on its own? 15% of the score
6
Supervised agent: takes actions in other systems; a person approves key steps.
- +6
  Level 2 of 4: Supervised agentTakes actions in other systems; a person approves key steps.
What the model read
- Acts in other systems: 58% likely
- Finishes whole tasks: 34% likely
- Calls itself an agent: 97% likely
Level 2: Takes actions in other systems; a person approves key steps.

About MouseCat

MouseCat enables companies to detect suspicious activity, automate investigations, and act before the money leaves.

We work with Fortune 500 companies and startups to deploy real-time models and AI agents that reduce fraud, compliance incidents, and friction for good customers.