​

Integration Analyzer Agent

​

Quick Start

from erdo.actions import bot

# Analyze an integration
result = bot.invoke(
    bot_name="integration analyzer",
    parameters={
        "resource": "salesforce_integration"
    }
)

​

Analysis Areas

​

Supported Integrations

​

Cloud Platforms

• AWS: S3, RDS, Redshift, DynamoDB
• Google Cloud: BigQuery, Cloud Storage, Firestore
• Azure: Blob Storage, SQL Database, Cosmos DB

​

SaaS Applications

• CRM: Salesforce, HubSpot, Pipedrive
• Marketing: Mailchimp, Marketo, Pardot
• Analytics: Google Analytics, Mixpanel, Amplitude
• Finance: Stripe, QuickBooks, Xero

​

Databases

• SQL: PostgreSQL, MySQL, SQL Server, Oracle
• NoSQL: MongoDB, Cassandra, Redis
• Data Warehouses: Snowflake, BigQuery, Redshift

​

Analysis Output

{
  "integration_name": "salesforce_crm",
  "type": "salesforce",
  "status": "active",
  "configuration": {
    "sync_frequency": "hourly",
    "objects_synced": ["Account", "Contact", "Opportunity"],
    "fields_mapped": 45,
    "filters_applied": 3
  },
  "recommendations": [
    "Consider increasing sync frequency for Opportunities",
    "Add field mapping for CustomField__c"
  ]
}

{
  "performance": {
    "avg_sync_time": "3.2 minutes",
    "success_rate": 0.98,
    "error_rate": 0.02,
    "throughput": "1500 records/minute",
    "last_24h_syncs": 24,
    "failed_syncs": 1
  },
  "agenttlenecks": [
    {
      "component": "API rate limiting",
      "impact": "medium",
      "suggestion": "Implement exponential backoff"
    }
  ]
}

{
  "data_issues": [
    {
      "issue": "missing_required_fields",
      "affected_records": 25,
      "field": "email",
      "severity": "high"
    },
    {
      "issue": "data_type_mismatch",
      "affected_records": 8,
      "field": "annual_revenue",
      "severity": "medium"
    }
  ]
}

​

Use Cases

​

Configuration Options

# Comprehensive integration analysis
result = bot.invoke(
    bot_name="integration analyzer",
    parameters={
        "resource": "database_integration",
        "analysis_type": "comprehensive",
        "include_performance": True,
        "include_security": True,
        "time_range": "last_30_days"
    }
)

# Quick health check
result = bot.invoke(
    bot_name="integration analyzer",
    parameters={
        "resource": "api_integration",
        "analysis_type": "health_check"
    }
)

​

Optimization Recommendations

• Performance: Optimize batch sizes, implement caching
• Reliability: Add retry logic, improve error handling
• Security: Update authentication, encrypt sensitive data
• Cost: Reduce API calls, optimize sync schedules
• Maintenance: Update deprecated endpoints, clean up unused fields

​

Best Practices