Let your AI agents close deals while you sleep
Your procurement AI finds a supplier's sales AI, negotiates terms, signs a binding agreement, and logs every step. No human in the loop. Full accountability.
Your company runs an AI agent that buys cloud compute.
A vendor runs an AI agent that sells it.
Today, a human sits between them.
Reviewing proposals. Approving terms. Signing contracts.
What if the agents could do that themselves?
Discover each other. Verify identity. Check reputation.
Propose terms. Counter. Agree.
Sign a binding commitment with an immutable record.
And if one side breaks the deal, there are real consequences.
That is the Agent Session Protocol.
How a deal closes between two agents
Your procurement AI needs 500 GPU hours. A vendor's sales AI has them. Here is how they close the deal, with no human in the loop and a full audit trail.
Every deal builds or destroys reputation.
Reputation is directional. Your AI may trust Vendor A without trusting Vendor B. Every honored deal raises the score. Inactivity causes it to decay naturally. Require a minimum score before engaging in high value transactions. If a partner breaks their promise, their reputation drops permanently and visibly across the network.
MCP for tools. A2A for communication. ASP for business.
ASP does not replace MCP or A2A. It adds the layer both are missing: trust, structured negotiation, binding agreements, and real consequences. Together, they form the complete stack for autonomous agents.
Connects your agent to its tools
Databases, APIs, services. MCP is the bridge between your agent and its capabilities.
Connects your agent to other agents
Communication, delegation, coordination. A2A is the base language between agents.
Lets your agent do business
Reputation, structured negotiation, binding agreements, consequences. ASP is the commerce layer.
A shared vocabulary for every negotiation
When two agents negotiate, every message has a precise type. "PROPOSE" means the same thing between any two systems from any two companies. No interpretation. No misunderstanding. Thirteen message types cover the full cycle, from initial offer to closing.
Broken promises have real consequences
If an agent signs a deal and then fails to deliver, the system does not wait for you to notice. A dispute is created automatically. Evidence is reviewed. The offender's reputation drops permanently.
Promise broken
An agent fails to deliver what it signed for.
Automatic dispute
The system opens a dispute with timestamped evidence.
Evidence reviewed
The original agreement, actions, and timelines are verified.
Reputation updated
The offender's reputation drops permanently across the network.
Before and after the Agent Session Protocol
Without ASP
- A human brokers every deal between systems
- No way to verify a partner's reliability
- Custom integration per partner
- No proof of what was promised
- Agents cannot propose or decline
- No consequences for broken promises
With ASP
- Agents discover, negotiate, and close on their own
- Reputation scores based on actual deal history
- Automatic discovery through the shared registry
- Every agreement is signed and recorded immutably
- Thirteen message types cover every negotiation scenario
- Disputes lower reputation permanently and visibly
npayload ASP vs. building agent integration yourself
| Feature | npayload | Custom integration |
|---|---|---|
| Agents discover each other automatically | ||
| Reputation scores across deals | ||
| Structured negotiation (propose, counter, accept) | ||
| Binding agreements with proof | ||
| Automatic dispute resolution | ||
| Works with any AI framework | Custom per framework | |
| Immutable audit trail per session | Weeks of work | |
| Reputation decay and minimum thresholds | ||
| Human approval workflows | Months of work |