Agents should think. Euclid should compute.
AI models predict mathematical answers instead of calculating them. Euclid is the standard library your agents are missing.
The Problem
AI models don't calculate. They predict.
Every AI model generates mathematical answers the same way it generates text: by predicting the most likely next token. Programming languages ship with standard libraries so developers never reimplement arithmetic. Your agents don't have one.
Prediction
"The total is approximately $2,645"
LLM token prediction
Computation
$2,450.00 × 1.08 = $2,646.00
Euclid deterministic engine
Why Euclid
Agents think. Euclid computes.
Language models predict the most probable next token. Euclid evaluates the exact expression.
When an agent encounters a math problem, it generates the most probable answer based on training patterns. Euclid does not predict. It computes: same input, same output, guaranteed. One MCP connection gives every agent you run access to exact math on every call.
Latency
Code Execution
Hundreds of ms to seconds
Euclid
Single-digit ms
Overhead
Code Execution
Spins up a sandbox
Euclid
Evaluates an expression string
Availability
Code Execution
Varies by client
Euclid
Any MCP client
Failure mode
Code Execution
Syntax errors, runtime exceptions
Euclid
Clear error with hint and examples
Token cost
Code Execution
Verbose code generation
Euclid
Minimal expression string
How It Works
One connection. Deterministic math. No guessing.
Connect
Add Euclid to your AI agent with a single command. No local install, no dependencies.
Compute
When your agent needs math, Euclid calculates the answer instead of predicting it. Every time.
Trust
Every result is deterministic and verifiable. Same input, same output, guaranteed.
Euclid Cloud
See what your agents compute
The hosted platform that shows you every calculation your agents run.
See every calculation your agents make
Real-time dashboard of every computation. See the expressions agents construct, the results they get, and whether they reached for the standard library or hallucinated a number.
Connect in seconds
A single URL. No local server to run, no infrastructure to maintain. Runs at the edge, close to your agents.
Prove how every number was produced
Immutable audit logs. When someone asks "how did the agent get this number?", you have the answer.
Make your agents smarter at math
Tool descriptions and expression scoring that improve over time. Agents get better at knowing when to compute versus guess, without manual tuning.
Use Cases
Anywhere agents need ground truth
fn()
Trading & Financial Agents
Risk models, portfolio calculations, trading signals. One bad number and the position is wrong.
fn()
Quoting & Pricing
What happens when your quote is off by a cent? You find out when the client calls. Pricing engines need exact math.
fn()
Engineering & Science
Unit conversions, statistical analysis, scientific computation. Real science needs real math, not a prediction.
fn()
Data Analysis & Reporting
Agents that crunch data and produce reports with verifiable numbers.
fn()
Accounting & Finance
Every decimal. Every time. No rounding surprises in your ledger.
fn()
Any Agent + Numbers
If your agent produces, transforms, or validates numbers, it needs a standard library, not a hallucination.
Pricing
Simple, usage-based pricing
Pay for what you use, just like the LLM APIs you already work with.
Details at launchStart Building
Give your agents exact math
Connect Euclid in minutes. One MCP server, every computation your agents need.