# Adalimumab 90-Day Safety Signal Watch

**Use case:** 

Adalimumab 90-Day Safety Signal Watch. Ready-to-run FDA Adverse Event and Drug Safety Monitor workflow for this specific buyer use case. Replace the example input with your own target data and receive structured results ready for analysis, automation, and AI workflows.

## Input

```json
{
  "drugNames": [
    "ADALIMUMAB"
  ],
  "windowDays": 90,
  "persistState": true,
  "monthlyRuns": 1,
  "previousAnalysis": {},
  "mcpToolName": "",
  "mcpToolArguments": {},
  "mcpFailOnError": false,
  "mcpActionPreset": "AUTO_SAFE_WRITE"
}
```

## Output

```json
{
  "input": {
    "label": "Drug name",
    "format": "string"
  },
  "ok": {
    "label": "Execution OK",
    "format": "boolean"
  },
  "status": {
    "label": "Monitor status",
    "format": "string"
  },
  "score": {
    "label": "Report quality score",
    "format": "number"
  },
  "issues": {
    "label": "Issues",
    "format": "array"
  },
  "checkedAt": {
    "label": "Checked at",
    "format": "string"
  },
  "windowStart": {
    "label": "Window start",
    "format": "string"
  },
  "windowEnd": {
    "label": "Window end",
    "format": "string"
  },
  "totalReports": {
    "label": "Current reports",
    "format": "integer"
  },
  "previousWindowReports": {
    "label": "Previous-window reports",
    "format": "integer"
  },
  "reportGrowthPct": {
    "label": "Report growth percent",
    "format": "number"
  },
  "seriousReports": {
    "label": "Serious reports",
    "format": "integer"
  },
  "seriousSharePct": {
    "label": "Serious share percent",
    "format": "number"
  },
  "deathReports": {
    "label": "Death reports",
    "format": "integer"
  },
  "deathSharePct": {
    "label": "Death share percent",
    "format": "number"
  },
  "topReactions": {
    "label": "Top reactions",
    "format": "array"
  },
  "signalScore": {
    "label": "Operational signal score",
    "format": "number"
  },
  "causalityDisclaimer": {
    "label": "Causality disclaimer",
    "format": "string"
  },
  "executiveDecision": {
    "label": "Executive decision",
    "format": "string"
  },
  "decisionConfidenceScore": {
    "label": "Decision confidence score",
    "format": "number"
  },
  "baselineAvailable": {
    "label": "Baseline available",
    "format": "boolean"
  },
  "regressionDetected": {
    "label": "Regression detected",
    "format": "boolean"
  },
  "estimatedEconomicImpactUsd": {
    "label": "Estimated economic impact (USD)",
    "format": "number"
  },
  "recommendedAction": {
    "label": "Recommended action",
    "format": "string"
  },
  "decisionMetric": {
    "label": "Decision metric",
    "format": "string"
  },
  "decisionMetricDelta": {
    "label": "Decision metric delta",
    "format": "number"
  }
}
```

## About this Actor

This example demonstrates how to use [FDA Adverse Event & Drug Safety Monitor](https://apify.com/quanmatrix/fda-drug-safety-adverse-event-monitor.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/quanmatrix/fda-drug-safety-adverse-event-monitor.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/quanmatrix/fda-drug-safety-adverse-event-monitor.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).