Installation Steps
Installation Steps Go to Settings → n8n API and create an API key Add it as credential for the Get Execution Data node Review model mappings in Standardize Names node Review pricing in Model Prices node To Monitor a Workflow Add Execute Workflow node at the end of your target workflow Select this monitoring workflow Turn OFF "Wait For Sub-Workflow Completion" Pass { "executionId": "{{ $execution.id }}" } as input Prerequisites Enable "Return Intermediate Steps" in your AI Agent settings for best results. Supported Providers OpenAI · Anthropic · Google · DeepSeek · Meta · Mistral · xAI · Cohere · Alibaba Qwen · Moonshot Kimi 120+ Model Variations Mapped Includes all versioned variants (e.g., gpt-4o-2024-08-06 → gpt-4o) Prices sourced from official provider pages (March 2026) Output Data Per LLM Call Cost Breakdown (prompt, completion, total USD) Token Metrics (prompt, completion, total) Performance (execution time, finish reason) Content Preview (first 100 chars I/O) Model Parameters (temp, max tokens, timeout) Execution Context (workflow, node, status) Flow Tracking (previous nodes chain) Summary Statistics Total executions and costs Breakdown by model type Breakdown by node Average cost per call Total execution time 💡 You can do anything with this data! Store in a database for historical tracking Send to Teams as a cost alert Build dashboards with the summary data Set budget thresholds and trigger warnings Export to Google Sheets for reporting. An n8n automation workflow template by Aldayel.
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