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decision-matrix

station__signal-theory__decision-matrix external (needs EXECUTION_BACKEND_URL) signal-theory pv-core Constructa Configa

Compute SDT decision matrix metrics from a 2×2 classification table (hits, misses, false alarms, correct rejections). Returns sensitivity, specificity, PPV, NPV, accuracy, F1, MCC, d-prime, and response bias.

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	`signal`
family	`mcp-tool-config`

Characteristics:

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

Input schema

hits integerrequired — True positives
misses integerrequired — False negatives
false_alarms integerrequired — False positives
correct_rejections integerrequired — True negatives

Example call

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

{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "station__signal-theory__decision-matrix",
    "arguments": {
      "hits": 0,
      "misses": 0,
      "false_alarms": 0,
      "correct_rejections": 0
    }
  }
}

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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