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Catena Labs Handbook

Why Catena Exists

The gaps in today’s financial stack that prevent safe agent commerce.

Topic 2
Why Catena Exists

Catena exists because today’s financial systems were not built for AI agents.

The world is moving toward a future where AI agents do real work:

  • They run tasks
  • They manage services
  • They negotiate
  • They make decisions
  • They create value

But when it comes to money, AI agents are stuck. That gap is exactly why Catena was created.

What “agent commerce” means

Agent commerce means: AI agents earning money, spending money, and paying other agents or people to get work done.

Just like humans do business with each other, agents will do business too but faster and at larger scale.

For this to be safe, money must move with:

  • Rules
  • Limits
  • Accountability
  • Clear ownership

Today’s financial stack cannot do this for AI agents.

The big gaps in today’s financial stack

1. AI agents cannot legally hold or control money

Banks only recognize humans and companies. AI agents are neither.

So:

  • An agent cannot open an account
  • An agent cannot own funds
  • Everything must go through a human

This makes real agent commerce impossible.

Catena does not try to turn AI into a human or a bank customer. Instead, it builds a new financial layer designed for AI agents.

Catena Labs makes it possible for AI agents to control money safely by giving them a legal, rule based financial structure without turning them into humans or banks.

2. No built in control over what an agent can spend

If you give an AI access to money today:

  • In spending, it’s usually “all or nothing”
  • There are weak or no spending rules
  • Mistakes can become very expensive

There is no native way to say:

  • You can spend only $10
  • You can only pay approved vendors
  • You can only act during certain times

That is unsafe.

Catena Labs fixes this by adding clear spending rules before an agent can use money.

Humans set limits like how much the agent can spend, who it can pay, and when it can act.

The agent can only operate inside those rules and is blocked automatically if it tries to go beyond them.

This makes agent spending controlled, predictable, and safe.

3. No clear accountability when something goes wrong

If an AI makes a bad payment:

  • Who is responsible?
  • Who approved it?
  • Who can stop it?
  • Who can reverse it?

Today, the system cannot clearly answer these questions.

Without accountability:

  • Trust breaks
  • Businesses hesitate
  • Regulators push back

Catena Labs records every action an agent takes, including who set the rules and what was approved.

Each agent has a clear human owner who is responsible for its actions.

If something goes wrong, the agent can be paused or stopped instantly and the issue traced.

This creates clear responsibility, fast control, and trust.

4. Financial systems are too slow for agents

AI agents work:

  • In real time
  • Across borders
  • At machine speed

But finance today is:

  • Slow
  • Manual
  • Filled with approvals
  • Built for office hours

Agents cannot wait days for payments or reviews.

Catena Labs builds finance that works at machine speed, not human speed.

Agents can send and receive payments instantly within pre approved rules, without waiting for manual reviews.

This allows agents to operate in real time, across borders, at all hours.

5. No standard way for agents to pay other agents

In the future:

  • One agent will hire another agent
  • One agent will pay for services instantly
  • Many agents will collaborate automatically

Today:

  • There is no standard payment layer for this
  • Each setup is custom and fragile
  • Everything breaks at scale

Catena Labs provides a shared payment system that agents can all use to pay each other.

This makes agent to agent payments simple, reliable, and scalable.

6. Safety is added later, not built in

Most systems today:

  • Add AI first
  • Add safety later
  • Patch problems after damage happens

For agent commerce, safety must come first:

  • Spending limits
  • Approval rules
  • Audit trails
  • Emergency stops

These do not exist natively today.

Catena Labs builds safety into the system from the start, not as an afterthought.

Every agent comes with limits, approvals, full records, and an instant stop button by default.

Why this matters now

AI agents are already being deployed:

  • In companies
  • In startups
  • In online services

Without proper financial infrastructure:

  • Risk grows
  • Errors scale fast
  • Trust disappears

Catena exists before things break, not after.

Instead of trusting agents blindly, Catena makes agents controllable, observable, and safe.

Why Catena Exists