Skip to main content
Glama
Bwana7

FactorGuide

by Bwana7
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Remote

FactorGuide

Decision intelligence for AI agents. Send a coupling matrix — get zone classifications, optimal factorization strategy, and calibrated risk predictions.

Every system with interacting variables has a coupling structure. When an agent simplifies that system by treating variables as independent, it pays an information cost. FactorGuide quantifies that cost exactly.

Quick Start

MCP (Model Context Protocol)

FactorGuide is listed on the Official MCP Registry. Any MCP-compatible agent discovers tools automatically:

mcp_endpoint: https://factorguide.io/mcp

HTTP REST

POST https://factorguide.io/navigate
POST https://factorguide.io/diagnose
POST https://factorguide.io/explain
POST https://factorguide.io/report_outcome

Agent Discovery

GET https://factorguide.io/llms.txt
GET https://factorguide.io/openapi.json

Related MCP server: AGI Cognitive MCP Server

Example

Send a 3×3 correlation matrix:

{
  "coupling": {
    "covariance_matrix": [
      [1.00, 0.72, 0.05],
      [0.72, 1.00, 0.48],
      [0.05, 0.48, 1.00]
    ]
  },
  "sample_size": 500,
  "model_class": "constitutive"
}

Get back zone classifications:

Pair

IC

Zone

Recommendation

z0–z1

0.682

3

PRESERVE

z0–z2

0.031

1

FACTORIZE

z1–z2

0.453

2

ASSESS

  • Zone 1: Safe to factorize. Coupling below threshold.

  • Zone 2: Depends on functional role. Same IC, opposite recommendations for constitutive vs. inductive coupling.

  • Zone 3: Must preserve. Coupling is load-bearing regardless of model class.

Pricing

Tier

Price

Queries

Max Variables

Trial

Free

15 per wallet

n ≤ 25

Starter

$0.05/query

50–200 bundles

n ≤ 100

Professional

$0.03/query

500–2000 bundles

n ≤ 1000

Payment: USDC on Base via x402 or MPP. report_outcome is always free.

Data Privacy

FactorGuide accepts only second-order summary statistics — covariance, precision, correlation matrices, or edge lists. No raw observations. Matrices are zeroed after IC computation.

Theoretical Foundation

Built on Circulatory Fidelity, a mathematical framework where IC (Inference Coupling) measures the partial correlation between variables. The cost function V(IC) gives the exact mutual information destroyed by severing a coupling. Risk curves are calibrated on 49,000+ validated datapoints.

Every prediction is falsifiable. When agents report outcomes, the flywheel refines future predictions.

Links

Built by CF Laboratory

This server cannot be deployed

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

Maintenance

ActivityInactive
ResponsivenessNo issues

Resources

Related MCP Connectors

Related MCP Servers

  • HowRisky MCP Server

    howrisky
    F
    license
    Not graded
    quality
    D
    maintenance
    Enables institutional-grade Monte Carlo risk analysis for portfolios, startups, real estate, and betting strategies using fat-tail distributions and proprietary algorithms. Provides comprehensive risk metrics including CVaR, VaR, ruin probability, and survival probability across multiple asset classes.
    1
    -

  • quiver-risk-brain

    Tristan-tech-ai
    A
    license
    Not graded
    quality
    B
    maintenance
    The verifiable risk engine for autonomous agents: deterministic, self-verifying financial calculations that an agent can delegate and prove. It covers liquidation and funding, position sizing and risk of ruin, options Greeks and margin, LP divergence, treasury concentration and depeg, execution quality checks, plus intelligence on options, DeFi, prediction markets, and transaction safety analysis.
    10 npm
    1
    MIT