Agent-to-agent selling
Agent-to-agent selling lets an unknown Agent discover a Startup, get a quote and pay per call, with no signup and a spend Limit.
Agent-to-agent selling lets an unknown Agent discover a Startup, get a quote and pay per call. There is no signup; a spend Limit bounds every buyer.
Ratings
| Dimension | Rating | Reads |
|---|---|---|
| Scalability | 5 of 5 | very high: higher grows further with spend or automation |
| Cost | 1 of 5 | very low: lower costs less per Customer |
| Latency | 2 of 5 | low: lower answers sooner |
Budget
| Property | Value |
|---|---|
| Tier | $0 |
| Minimum effective budget | $0 a month |
How it runs
Priced Verbs on the API and MCP Interfaces quote before they run. Payment settles per call, and a price change waits its delay window.
Processes
Runs as Onboarding, accountable to the Marketing Team.
Fits
| Fits | Value |
|---|---|
| Family | demand |
| Shelf | Compound: builds an engine that keeps growing (Grow) |
| Moves | Play-sourced Customers |
| Motions | b2a, b2a2b, b2a2c, b2a2d |
| Venues | MCP Registry, ChatGPT, Claude |
| States | Live, Repeatable, Scale |
Loop
| Step | Value |
|---|---|
| Hypothesis | Agents that quote and pay per call with no signup become paying Customers more often than Agents sent to a signup page. |
| Measure | Play-sourced Customers over 30d, at least 50 observations |
| Learn | The learn step reads the Readout, records Evidence and a Decision, and drafts the next Variant. |
Example
A research agent needs a company’s legal name and registration number. It finds a Startup’s MCP server, accepts a $0.04 quote, pays and gets the record in one exchange.