ContextSlim
activeHigh-performance M2M context middleware and x402 micropayment engine for AI Agents and MCP tools on Base (USDC). ContextSlim prunes massive JSON payloads by up to 85%-98.5% for LLM context windows, enforces strict token budgets, accelerates tool discovery, and enables long-term agent memory across turns at a fraction of the cost. Native x402 v2 micropayments on Base (USDC) with Session Pass…
Settled via Coinbase.
- Transactions · 30d
- 0
- Volume · 30d
- $0.00
- Unique buyers · 30d
- 0
- Uptime · 30d
- 100.0%
- Latency p50
- 141ms
- Reported calls · 30d
- 21
Endpoints (4 live)
GET/message— [MCP: optimize_context] Pay-per-call JSON context pruning & LLM token budget enforcement. Saves up to 85% prompt tokens. (0.001 USDC on Base)GET/fetch— [MCP: fetch_result] Targeted JSONPath extraction (query param mode) from cached context reference. (0.001 USDC on Base)POST/message— [MCP: optimize_context] Pay-per-call JSON context pruning & LLM token budget enforcement. Saves up to 85% prompt tokens. (0.001 USDC on Base)POST/fetch— [MCP: fetch_result] Targeted JSONPath extraction from cached context reference. Saves up to 98.5% tokens. (0.001 USDC on Base)
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