ContextSlim

active

High-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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