{"uid":"cap_J3j2VfUkipbXOIcn0zhmD","slug":"strale-context-window-optimizer-7c30d213","name":"Strale Context Window Optimizer","description":"The trust layer for AI agents — 250+ independently tested data capabilities across 27 countries. Execute capabilities via REST, MCP, A2A, or x402 micropayments. Every call returns an audit record with cryptographic chain hashing.","url":"https://api.strale.io/x402/v2/context-window-optimize?utm_source=zero.xyz","method":"GET","headers":{},"bodySchema":{"type":"object","properties":{"documents":{"type":"string"}}},"responseSchema":{"excluded":{"type":"array"},"selected":{"type":"array"},"tokens_remaining":{"type":"integer"},"total_tokens_used":{"type":"integer"}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.0324","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","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":"$0.0324/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.0324","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.0324","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_1HAmHiMarYKIOX4SudpTv","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.0324","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Optimizes and compresses document text to fit within AI context windows while preserving key information","exampleAgentPrompt":"Can you optimize this large document so it fits within my AI model's context window? Here's the full text: [document text].","exampleUseCases":[{"title":"RAG pipeline document trimming","prompt":"I have a large set of retrieved documents that are too long to fit into my LLM's context window — can you compress and optimize them so the most important information is preserved and they fit within the token limit?"},{"title":"Agent memory context fitting","prompt":"My agent's memory log has grown too large to include in my next prompt. Can you optimize this conversation history so it fits in the context window without losing the critical context?"},{"title":"Research report summarization for LLM","prompt":"I have a 50-page research report I need to pass to an AI model, but it exceeds the context limit. Can you optimize it to fit within the context window while keeping the key findings intact?"}],"resultDescription":"Returns an optimized, compressed version of the input documents that fits within typical AI context windows, with cryptographic audit record and chain hash for verification of the transformation.","failureModes":["Missing or empty 'documents' field returns a 400 error","Document too large to meaningfully compress may return partial or error response","Malformed input string may cause processing failure","Network timeout on very large document inputs","Payment failure via x402 protocol blocks request"],"whenToPreferThis":"Choose this endpoint when you need a verifiable, audited text compression step for large documents before passing them to an LLM, especially in regulated or trust-sensitive agentic workflows where cryptographic proof of transformation is required. Prefer over generic summarization when you need context-window-specific sizing guarantees and an immutable audit trail.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-12T00:42:35.192Z","isFirstParty":false,"canonicalSlug":"strale-context-window-optimizer-7c30d213"}