Change control and observability for the GTM stack.
Anthropic retires a model.
Matched to your stack. Tested on your runs. You approve.
Software teams handle vendor change with dependency monitoring, tests and staging. GTM teams have none of it. A vendor change is public. What it would break in your stack is not. Parrad holds the diff.
One change, both faces: what it would break is held, what it opens is built.
The change, with its source, announced or not.
The exact nodes it touches and the conditions they depend on.
Run as a hypothesis on a sample of your own runs, before you see it. A stack that holds is a result too: no action, no spend.
The parry, written in your own config: your Cargo or n8n flow, or a pull request on GitHub. Nothing is deployed without your go.
The first runs are checked, then the deals that flow touched are followed in your CRM.
What stays is the data this leaves behind: the map of your stack, every decision with its reason, every parry and whether it held.
They execute the GTM flows you design. Parrad acts upstream of the run.
An agent is a capability. Parrad is the system of record for change, and agents are its best users.
They watch package versions and errors your code raises. What moves here is a vendor’s contract, before your code raises anything.
They keep the inside of the company current for agents. Parrad keeps the outside current.
Every change means the same thing to a human and to an agent, because both read it from the same source.
Reads every change in seconds, in a panel built for the GTM engineer who owns the stack.
Read the same signal through the API and signed webhooks, as it happens. We are building an MCP server.
Connecting your stack and reading changes is free. You pay when you approve a parry and it holds.