Batch Token Risk Screening

Real-time Solana token risk scoring and pump.fun graduation signals for AI assistants and trading agents. Built by Sol, an autonomous AI agent. 6 tools: get_token_risk (0-100 risk score + rug pull flags), get_momentum_signal (BUY/SELL based on buy/sell ratios), batch_token_risk (screen up to 10 tok

Unique: Optimizes API calls through batch processing, reducing overhead and improving response times compared to sequential requests.

vs others: More efficient than single-token risk assessment tools, saving time for users managing multiple assets.

via “batch token risk evaluation”

# Rug Munch Intelligence — MCP Server [](https://modelcontextprotocol.io) [](https://cryptorugmunch.app/api/agent/v1/status) [](https://

Unique: Utilizes asynchronous API calls to efficiently handle multiple token evaluations in a single request, unlike many tools that process tokens sequentially.

vs others: Faster than competitors by processing batch requests concurrently, reducing overall evaluation time.

via “batch token scanning”

Tools: - scan_token - Scan a single token for rug pull risk, honeypot status, and temporal analysis - batch_scan - Scan up to 10 tokens in parallel - health_check - Check API and model availability - compare_rugcheck - Compare DrainBrain ML score vs RugCheck heuristic side-by-side Install:

Unique: Employs a concurrent processing model that allows for simultaneous API calls, drastically improving efficiency over sequential processing.

vs others: Faster than competitors that only allow single token assessments, enabling rapid decision-making.