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compute-qbr

station__benefit-risk__compute-qbr external (needs EXECUTION_BACKEND_URL) benefit-risk pv-core Constructa Configa

Compute full statistical benefit-risk ratio from contingency tables using disproportionality analysis (PRR/ROR/IC/EBGM). Supports simple, Bayesian, composite, and therapeutic window forms. Use with real FAERS contingency data.

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	`benefit`
family	`mcp-tool-config`

Characteristics:

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

Input schema

method stringrequired — Disproportionality method: prr, ror, ic, or ebgm
benefit_tables arrayrequired — Benefit contingency tables, each with {a, b, c, d} counts
risk_tables arrayrequired — Risk contingency tables, each with {a, b, c, d} counts
benefit_weights array — Optional weights for benefit tables [{value, confidence}]
risk_weights array — Optional weights for risk tables [{value, confidence}]
hill_efficacy object — Optional Hill curve params for efficacy {k_half, n_hill}
hill_toxicity object — Optional Hill curve params for toxicity {k_half, n_hill}
integration_bounds object — Optional dose range for therapeutic window {dose_min, dose_max, intervals}

Example call

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

{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "station__benefit-risk__compute-qbr",
    "arguments": {
      "method": "",
      "benefit_tables": [],
      "risk_tables": []
    }
  }
}

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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