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compute

station__entropy__compute external (needs EXECUTION_BACKEND_URL) entropy non-pv Constructa Configa

Compute information-theoretic entropy measures. Modes: shannon (H), cross (H_cross), kl (D_KL), mutual (MI), normalized (H_norm), conditional (H_Y|X). Supports from_counts for raw integers.

Taxonomy

Linnaean classification joined from the algovigilance taxonomy index via the parent config's rank.

Rank	Value
domain	`Substrata`
kingdom	`Constructa`
phylum	`Configa`
class	`station-config`
order	`entropy`
family	`mcp-tool-config`

Characteristics:

substrate: config
domain: pv
lifecycle: continuous
authority: read
compounding: producer
io: agent-request → tool-response

Input schema

mode stringrequired — shannon, cross, kl, mutual, normalized, or conditional
distribution_p arrayrequired — Primary probability distribution or counts
distribution_q array — Secondary distribution (required for cross, kl)
joint_rows integer — Row count for joint matrix (required for mutual, conditional)
base string — Log base: bits (default), nats, hartleys
from_counts boolean — If true, normalize raw counts to probabilities

Example call

POST /api/mcp
Content-Type: application/json

{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "station__entropy__compute",
    "arguments": {
      "mode": "",
      "distribution_p": []
    }
  }
}

How to invoke from a client

From any MCP-aware client, add https://algovigilance.com/api/mcp as an MCP server, then call this tool by name. From a raw HTTP client, send the JSON-RPC body above to /api/mcp.

Agent-friendly formats

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