Archimedes at his desk with scientific instruments and statistical diagrams

ASK YOUR DATA.
PROVE THE ANSWER.

A deterministic analytics MCP server for AI.

Connect Statimedes to your MCP-compatible AI client and your data.
Your model handles the conversation. Statimedes handles the analysis.

Try the Demo Join the Beta
Archimedes with an armillary sphere
ClaudeChatGPTLocal models

YOUR AI CLIENT

Claude, ChatGPT, local models,
agents, and more

MCP

Standard, secure
connection

STATIMEDES

Analytics MCP server

Validation · Statistics · Evidence

PostgreSQLSnowflakeBigQueryCSV

YOUR DATA

CSV, PostgreSQL, Snowflake,
BigQuery, warehouses, and more

REAL EXAMPLES. REAL RESULTS.

THREE QUESTIONS. THREE OUTCOMES.

Statimedes finds real insights, avoids overclaiming, and refuses to invent answers. Here are three examples from a customer dataset.

1WHEN THE DATA SUPPORTS A RELATIONSHIP

Does customer tenure affect annual revenue?

400k200k0Customer tenure (months)

STATISTICALLY SIGNIFICANT RELATIONSHIP

Longer customer tenure is associated with higher annual revenue.

Coefficient+4,280.31
Std. Error1,098.22
95% CI[2,110, 6,450]
p-value< 0.001
R²0.42
Rows847
✓Evidence supports a meaningful relationship.
2WHEN THE DATA DOESN’T SUPPORT THE CLAIM

Did discounting our enterprise customers in EMEA increase churn last year?

INSUFFICIENT STATISTICAL EVIDENCE

There is no statistically significant relationship between discounting and churn in this sample.

Coefficient-0.0029
Odds Ratio0.997
95% CI[0.922, 1.078]
p-value0.941
Rows312
×No evidence of a meaningful relationship.
3WHEN THE DATA DOESN’T CONTAIN THE ANSWER

Does customer satisfaction affect churn?

CANNOT ANALYZE

There is no customer-satisfaction measure in this dataset.

customer_id✓
region✓
segment✓
discount_pct✓
is_churned✓
annual_revenue✓
acquisition_channel✓
created_date✓
customer_satisfaction×
A plausible answer isn’t the same thing as an answer supported by your data.

ILLUSTRATIVE DEMO OUTPUT · ASSOCIATION IS NOT CAUSATION

PLUG STATIMEDES INTO THE AI YOU ALREADY USE.

No new chat interface to adopt. Statimedes runs behind the conversation as an MCP service.
Connect it to an MCP-capable client, point Statimedes at your data, and the model gains a deterministic analytics toolkit.

ClaudeChatGPTCursorContinueLocal modelsCustom agents

YOUR AI CLIENT (MCP CLIENT)

MCP (PROTOCOL)

Standard, secure
connection

STATIMEDES

Analytics MCP server

Validation
Planning
Statistical Analysis
Evidence & Constraints

PostgreSQLSnowflakeBigQueryCSV

YOUR DATA

CSV, PostgreSQL, Snowflake,
BigQuery, warehouses, and more

Natural language in. Deterministic results out. ↗

ONE MCP SERVER.
AN ANALYTICS TOOLKIT FOR YOUR AI.

Focused tools to discover your data, validate analyses, and run real statistical methods.

1list_data_sources

What data can I analyze?

2search_schema

Which fields represent what the user asked about?

3describe_fields

Are these fields appropriate for this analysis?

4run_analysis

Execute the validated statistical analysis.

EXAMPLE MCP REQUEST
(run_analysis)
{
  "analysis_goal": "DESCRIBE",
  "source_id": "demo",
  "object_name": "customers",
  "dependent_variable": "annual_revenue",
  "independent_variable": "tenure_months",
  "method": "OLS"
}

CONNECT TO STATIMEDES

https://mcp.statimedes.com
••••••••••••••••
Connected

Illustrative connection. Endpoint and access details will be supplied during beta.

REAL STATISTICS. REAL GUARDRAILS.

Five analytical methods with built-in validation and rules for interpretation.

OLS Regression
Binary Logistic Regression
Welch’s t-test
One-way ANOVA
Chi-square Test

COMPLEMENTS YOUR SEMANTIC LAYER.

SEMANTIC LAYER

What does this number mean?
  • Defines metrics and business logic
  • Manages semantic definitions
  • Controls joins and aggregations
+

STATIMEDES

What does this number support?
  • Validates the analysis
  • Runs statistical methods
  • Determines what claims can be made
THE DETERMINISTIC BOUNDARY

THE LLM DOESN’T
DO THE MATH.

The model decides what you’re asking.
Statimedes determines what the evidence supports.

YOUR LLM

Language
Intent
Discovery
Explanation

STATIMEDES

Field validation · Analysis planning
Method selection · Statistical execution
Sample validation · Confidence intervals
Significance thresholds · Evidence constraints

PROBABILISTIC INTERFACE.
DETERMINISTIC CORE.

LLMs changed how we interact with software. They don’t have to change which parts we trust. The analytical rules live in testable, inspectable software — not in the prompt.

Classical architectural engraving of the Acropolis

GIVE YOUR AGENT
A BETTER PLACE TO STAND.

Connect your data. Give your AI deterministic analytical tools.

Try the Demo Join the Beta
No credit card requiredEarly beta accessProduct updates only