Better decision making for your AI agents, with proof.

▷ Paste into your coding agent · Claude Code, Cursor, Codex, Gemini CLI

Copy prompt

Connect this agent to Datagoat.

Run: npx @datagoat/decide-cli install --url https://app.datagoat.io
(Not Claude Code? Add --client cursor, codex, gemini, vscode or windsurf.)

Then tell me to restart you so the Datagoat tools load. After the
restart, use them to find the decisions in my agent, ask me the two
questions for the one I pick, and wrap it. Import past results if I
have them; otherwise record new cases. Nothing changes until I switch
a step to Datagoat.

Same agent

Your code keeps working. When Datagoat has no answer, your AI decides, as before.

Fewer guesses

Answers come from your own past results, with reasons in your own fields, like "customer for under 6 months". Not a prompt, not a vibe.

Proof on every decision

Every answer comes with a signed receipt: the answer, the chance and the reasons. You can check later that nothing was changed.
What it decides

The small decisions your agent already makes, answered from what really happened.

Each one is a yes/no, a level, or a pick from a list. Datagoat learns it from your past results, is compared with your AI on the same cases, and only decides once you switch.

How It Works

Better decisions, proven before you switch.

Connect your agent, compare Datagoat with your AI on your own cases, and switch the steps where it's clearly better.

Step 1 of 3

Connect your agent

Ask your coding agent to connect. It reads your code, finds the decisions Datagoat can take, and asks you two questions about each: what result tells you the decision was right, and is that result good or bad. Your code keeps working as it is.

Connect an agent
A coding agent connecting a retention agent to Datagoat: it finds two decisions, asks two questions, and wraps both steps without changing how the code runs.
Step 2 of 3
See the comparison

See the comparison

Datagoat learns from past results, then answers alongside your AI on new cases. Your AI keeps deciding. Every night both are checked against what really happened, and you get a plain answer: better, not yet, or worse.

Datagoat's comparison page: on the same 1,000 customers, Datagoat flagged 145 of the 212 who churned, against 98 for the existing AI, with a Switch to Datagoat button.
Step 3 of 3

Switch when it's clearly better

One click per step. Datagoat makes the decision from the next case on, and a small share stays with your AI so the comparison never stops. Every decision comes with a receipt. Switch back any time.

The agent's four steps, with a Your AI / Datagoat switch on each decision step, and 14.8% churn where Datagoat decided against 25.2% where the existing AI did.
Pricing

Compare for free. Pay only
when Datagoat decides.

Free

The comparison

$0
See if it beats your AI
No cost
No commitment
Map your agent and add its decisions
Import past results or record new cases
A nightly comparison with your AI on the same cases
What Datagoat learned, in plain words on your own fields
Nothing changes until you switch
After you switch

Pay per decision

$0.25 / 1,000 decisions
One price
Only Datagoat's decisions
Learns from your results
Compared every night
Watched for problems
Switch back any time
Datagoat decides when it has an answer; otherwise your AI does
A signed receipt on every answer
Cases can go to a person, and your AI takes over if Datagoat is ever down
Retrained every night on new results
A new version takes over only after it beats the current one
Nothing changes until you switch.
Switch back any time; your AI decides again from the next decision.
Why Trust It

A prediction you can't check is just a confident guess.

Every Datagoat answer can be shown, checked and repeated. These are the rules it holds itself to.

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Consistent

Same case, same inputs, same answer. Ask again and you get the same decision back.

Honest

When Datagoat can't find a pattern that holds up, it doesn't answer, and says why. Your AI decides instead. It never guesses.

Fast

Answers in 25 to 200 ms, with the chance, level and reasons. If Datagoat is ever slow, your AI decides, so your agent never waits.

Yours

Every receipt is signed and names the version that decided, so you can prove what was decided, and why, later.

Private

Each organization gets its own models. Your models never answer anyone else's cases.

Explainable

Reasons are conditions on your own fields: "customer for under 6 months", "no demo requested". Patterns, not causes.