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Factorguide

bwana7/factorguide
HTTPregistry active
Summary

Connects to FactorGuide's decision intelligence API for analyzing coupling structures in systems with interacting variables. Exposes tools for sending covariance or correlation matrices and receiving zone classifications that tell you which variable pairs can be safely factorized and which couplings must be preserved. Returns concrete recommendations with IC scores, mutual information costs, and risk predictions calibrated on validated datasets. Useful when an agent needs to simplify a complex system without losing critical dependencies, like deciding which variables to treat as independent in a model or spotting load-bearing correlations before refactoring. Accepts only summary statistics, never raw data. Pricing starts at 15 free queries, then pay per query with USDC on Base.

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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

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:

PairICZoneRecommendation
z0–z10.6823PRESERVE
z0–z20.0311FACTORIZE
z1–z20.4532ASSESS
  • 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

TierPriceQueriesMax Variables
TrialFree15 per walletn ≤ 25
Starter$0.05/query50–200 bundlesn ≤ 100
Professional$0.03/query500–2000 bundlesn ≤ 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

  • Website: factorguide.io
  • Theory: circulatoryfidelity.com
  • MCP Registry: registry.modelcontextprotocol.io

Built by CF Laboratory

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Categories
Communication & Messaging
Registryactive
TransportHTTP
UpdatedApr 3, 2026
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