POST /plan → ready-to-execute payload

The stateless, deterministic planning layer for agents.

Software wasn't built for agents to use, so they're left guessing. Unaka removes the guesswork and turns intent into a consistent, ready-to-execute plan.

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Type an intent and click "Generate plan" to see a live response.
The problem

Run the same task twice.
Get different results.

LLMs produce different API calls, different payloads, different sequencing on every run. That means hallucinated fields, inconsistent data, and silent failures in production.

🎲
Non-deterministic by default
LLMs produce different API calls, different payloads, different sequencing on every run. That means hallucinated fields, inconsistent data, and silent failures in production.
👻
No visibility
When an agent guesses wrong, you can't see why. No inspectable steps. No audit trail. Just a broken state and a retry loop that burns tokens and time.
🔧
Integration debt
Every provider is an engineering project. Build a server. Define tools. Handle edge cases. Maintain it. The agent still guesses at the payloads anyway.
The thesis
Agents shouldn't have to reason about how to work in software. Unaka turns natural language intent into a deterministic, ready-to-execute plan. Zero tokens. Zero guesswork.
How it works

One endpoint. Every provider.

Your agent sends intent, gets back a deterministic execution plan with exact payloads, sequencing, and inspectable steps. No reasoning overhead. No silent failures.

SaaS companies
Ship agent-ready integrations without building them
Unaka turns natural language into correct API calls for your product. No guessing. No drift. Agents just work.
Agent builders
One endpoint. Every provider.
Your agent sends intent, gets back a deterministic execution plan with exact payloads, sequencing, and inspectable steps.
Zero tokens
No LLM in the loop
Unaka resolves plans from a catalog, not a model. Zero tokens consumed. Sub-second latency. Same input, same plan, every time.
Trust
Plans in. Nothing out.
Intent content and parameter values are never stored. We log that something happened, never what it was.
ready fully executable
incomplete missing params
unsupported not yet cataloged
unresolvable cannot resolve
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

Stop guessing.
Start planning.

Unaka is in early access. We're working directly with teams shipping agents to production. Same input. Same plan. Same outcome.

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