fda_faers_signal_summary

Pack: openfda · Endpoint: https://gateway.pipeworx.io/openfda/mcp

Calculate report-level FAERS disproportionality routing metrics for one drug/reaction pair using a 2×2 reporting table. ROR/PRR are screening statistics—not incidence, causality, comparative drug safety, or an FDA safety conclusion.

Parameters

NameTypeRequiredDescription
drugstringyesBrand or generic drug name.
reactionstringyesMedDRA preferred-term text.
from_datestringnoOptional YYYY-MM-DD.
to_datestringnoOptional YYYY-MM-DD.

Example call

Arguments

{
  "drug": "Ozempic",
  "reaction": "Nausea",
  "from_date": "2025-01-01",
  "to_date": "2025-12-31"
}

curl

curl -X POST https://gateway.pipeworx.io/openfda/mcp \
  -H 'Content-Type: application/json' \
  -d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"fda_faers_signal_summary","arguments":{"drug":"Ozempic","reaction":"Nausea","from_date":"2025-01-01","to_date":"2025-12-31"}}}'

TypeScript (@pipeworx/sdk)

import { Pipeworx } from '@pipeworx/sdk';
const pipeworx = new Pipeworx();

const result = await pipeworx.call('fda_faers_signal_summary', {
  "drug": "Ozempic",
  "reaction": "Nausea",
  "from_date": "2025-01-01",
  "to_date": "2025-12-31"
});

Connect

Add this to your MCP client config, or use one-click install buttons:

{
  "mcpServers": {
    "openfda": {
      "url": "https://gateway.pipeworx.io/openfda/mcp"
    }
  }
}

See Getting Started for client-specific install steps.

Regenerated from source · build August 3, 2026