{"uid":"cap_YBXKegoOV9r0MeX5ed6R7","slug":"api-strale-io-5b79eaba","name":"AI Agent Trace Analyzer","description":"Analyze AI agent execution traces (LangChain/CrewAI/AutoGen). Identifies failure points, root causes, token waste, and suggests fixes.","url":"https://api.strale.io/x402/agent-trace-analyze?utm_source=zero.xyz","method":"GET","headers":{},"bodySchema":{"type":"object","$schema":"https://json-schema.org/draft/2020-12/schema","required":["input"],"properties":{"input":{"type":"object","required":["type","method"],"properties":{"type":{"type":"string","const":"http"},"method":{"enum":["GET","HEAD","DELETE"],"type":"string"},"queryParams":{"type":"object","required":["trace"],"properties":{"trace":{"type":"string","description":"Agent log/trace output"}}}},"additionalProperties":false}}},"responseSchema":null,"example":{"request":{"trace":"Agent: ResearchAssistant\nTask: Analyze market trends for Q4 2024\nTimestamp: 2024-01-15T10:30:00Z\n\nStep 1: Initialize LangChain agent with tools [web_search, data_analysis, report_generation]\nStatus: SUCCESS\nTokens used: 150\n\nStep 2: Execute web_search tool\nQuery: 'Q4 2024 market trends technology sector'\nStatus: SUCCESS\nTokens used: 280\nResult: Retrieved 5 relevant articles\n\nStep 3: Process search results\nStatus: PARTIAL_FAILURE\nTokens used: 450\nError: Failed to parse JSON from third article, skipped\nWarning: Token usage exceeded expected threshold by 120 tokens\n\nStep 4: Execute data_analysis tool\nStatus: FAILED\nTokens used: 0\nError: Connection timeout to analytics service\nRetry attempt 1: FAILED (timeout)\nRetry attempt 2: FAILED (timeout)\nRoot cause: Service unavailable\n\nStep 5: Generate report with partial data\nStatus: SUCCESS\nTokens used: 320\nWarning: Report incomplete due to missing analysis data\n\nTotal tokens used: 1200\nExpected tokens: 800\nToken waste: 400 tokens (50% overhead)\n\nRecommendations needed: Optimize retry logic, implement circuit breaker pattern, validate JSON before processing"},"response":{"_meta":{"payment":{"method":"x402","price_usd":0.21600000000000003,"settlement_id":"0xa7e4503714b7ef2f782ce0851afea2785b9bc987ce13fcd8e8dd1f25220ab166"},"capability":"agent-trace-analyze","latency_ms":3679,"provenance":{"source":"claude-haiku","fetched_at":"2026-06-13T04:25:28.925Z"}},"severity":"critical","root_cause":"Analytics service became unavailable, causing connection timeouts on both retry attempts. This blocked the primary data analysis workflow, forcing the agent to generate an incomplete report with only partial data from web search results.","step_count":5,"failure_type":"timeout","trace_length":1112,"failure_point":"Step 4: Execute data_analysis tool - Service connection failure prevented critical analysis phase","steps_summary":[{"step":1,"action":"Initialize LangChain agent with web_search, data_analysis, report_generation tools","status":"success"},{"step":2,"action":"Execute web_search for Q4 2024 technology market trends","status":"success"},{"step":3,"action":"Process and parse search results from 5 articles","status":"warning"},{"step":4,"action":"Execute data_analysis tool with search results","status":"failure"},{"step":5,"action":"Generate final report with available partial data","status":"success"}],"suggested_fix":"Implement circuit breaker pattern to fail fast after 1-2 retries instead of blocking. Add fallback analysis using cached data or alternative analytics service. Implement health checks before tool invocation to detect service unavailability proactively.","patterns_detected":["excessive_retries","token_waste","service_unavailable","incomplete_workflow","context_threshold_exceeded"],"token_usage_breakdown":{"total":1200,"estimated_input_tokens":520,"estimated_output_tokens":680}}},"exampleRequest":{"trace":"Agent: ResearchAssistant\nTask: Analyze market trends for Q4 2024\nTimestamp: 2024-01-15T10:30:00Z\n\nStep 1: Initialize LangChain agent with tools [web_search, data_analysis, report_generation]\nStatus: SUCCESS\nTokens used: 150\n\nStep 2: Execute web_search tool\nQuery: 'Q4 2024 market trends technology sector'\nStatus: SUCCESS\nTokens used: 280\nResult: Retrieved 5 relevant articles\n\nStep 3: Process search results\nStatus: PARTIAL_FAILURE\nTokens used: 450\nError: Failed to parse JSON from third article, skipped\nWarning: Token usage exceeded expected threshold by 120 tokens\n\nStep 4: Execute data_analysis tool\nStatus: FAILED\nTokens used: 0\nError: Connection timeout to analytics service\nRetry attempt 1: FAILED (timeout)\nRetry attempt 2: FAILED (timeout)\nRoot cause: Service unavailable\n\nStep 5: Generate report with partial data\nStatus: SUCCESS\nTokens used: 320\nWarning: Report incomplete due to missing analysis data\n\nTotal tokens used: 1200\nExpected tokens: 800\nToken waste: 400 tokens (50% overhead)\n\nRecommendations needed: Optimize retry logic, implement circuit breaker pattern, validate JSON before processing"},"tags":["x402"],"displayCostAmount":"0.216001","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"settled","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.216001/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.216","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.216","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_YVIePGCiGgGCCxNQLf9bd","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.216","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Analyzes AI agent execution traces from LangChain, CrewAI, or AutoGen to identify failure points, root causes, token waste, and suggest fixes","exampleAgentPrompt":"Can you analyze this agent trace log and tell me where it failed, why it wasted tokens, and how to fix it? Here's the trace output: [paste LangChain/CrewAI/AutoGen log here].","exampleUseCases":null,"resultDescription":"Returns a structured diagnostic report identifying specific failure points in the agent execution, root causes of errors or loops, quantified token waste, and actionable fix recommendations tailored to the agent framework used.","failureModes":["Empty or malformed trace string returns parsing error","Trace from unsupported framework may produce incomplete analysis","Very long traces may be truncated or return partial results","Missing required 'trace' query parameter returns 400 validation error"],"whenToPreferThis":"Use this endpoint when you have a raw execution trace or log from a LangChain, CrewAI, or AutoGen agent run and need automated diagnosis of what went wrong, where tokens were wasted, and how to fix the issues — especially useful for debugging agent loops, tool call failures, or unexpectedly high token consumption.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-11T18:40:36.927Z","isFirstParty":false,"canonicalSlug":"api-strale-io-5b79eaba"}