Coming soon to private alpha

The stateless, deterministic planning layer for agents.

Software wasn't built for LLMs to use, so they're left guessing — and guess differently every time. Unaka removes the guesswork entirely, turning intent into a fully resolved payload you can hydrate and execute immediately.

Request access
input
output
Select an intent to see the plan output.
The problem

Run the same task with an LLM.
Get different results.

Every run produces different API calls, different payloads, different sequencing. That means hallucinated fields, silent failures, and corrupted production state — with no way to know why.

🎲
Non-deterministic by default
Ask an LLM to create a Linear issue twice. You'll get two different GraphQL mutations with different field names. One might work. One might silently corrupt your data.
👻
No visibility
When your agent guesses wrong, there's no inspectable trace — just a broken state, a retry loop, and a token bill for the privilege.
🔧
Integration debt
Every new provider is an engineering project: build a server, define tools, handle edge cases, maintain it forever. Your agent still guesses at the payloads anyway.
Run 1
mutation {
  issueCreate(input: {
    title: "Login timeout bug"
    priority: 1
    teamId: "eng-team-uuid"
    labelIds: ["bug-label-uuid"]
  }) {
    success
    issue { id }
  }
}
Run 2
mutation {
  issueCreate(input: {
    title: "urgent bug login timeout"
    urgency: "high"
    team: "engineering"
    labels: ["bug"]
  }) {
    success
    issue { id }
  }
}
Provider rejected — field 'urgency' does not exist
Same intent. Same model. Different run.
How it works

Send intent. Get a plan.

Your agent sends a natural language intent. Unaka returns a fully executable payload — exact method, endpoint, resolved body, step sequencing, and output capture paths. No reasoning required. Your agent executes it mechanically.

Accuracy
Plans resolve from a pre-built catalog. No LLM guessing at field names or payloads. Same intent, same plan, every time.
Speed
Average plan resolution under 200ms. No model call in the critical path.
Cost
Zero tokens consumed per plan. 83% cheaper than running the same workflows through MCP.
Visibility
Every plan is fully inspectable — steps, inputs, outputs, dependencies. You always know what your agent did.
No integration to build
Unaka owns the catalog. You execute the plan. No MCP server, no tool definitions, no maintenance.
Always correct
Natural language maps to correct API calls for your product. No guessing. No drift. Agents just work.
Private by design
Intent content and parameter values are never stored. We log that something happened, never what it was.
Scales with your catalog
As your API evolves, the catalog updates — not your customers' integrations.
Real benchmark data

Same intent. Same model.
Radically different outcomes.

Benchmarked against Claude Sonnet with Linear's official MCP server. Same intents, same model, real Linear issues created.

20/20
batch routing tests
Linear + GitHub
83%
cheaper than MCP
zero tokens consumed
11×
fewer API calls
on compound workflows
~200ms
average plan resolution
catalog-resolved, no model call

Stop shipping agents
that guess.

Unaka is in early access. We're working directly with teams building production agents. If you're shipping an agent that acts in external software — and you're tired of hallucinated payloads and silent failures — this is the reliability layer you've been missing.

Request early access →