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:
| 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
- Website: factorguide.io
- Theory: circulatoryfidelity.com
- MCP Registry: registry.modelcontextprotocol.io
Built by CF Laboratory
Featured
Keep your Mac awake while Claude Code and 40+ AI agents run. Sleeps when they're idle.
One time payment $9 →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
Start earning →
