Dataset Viewer

The dataset viewer is not available for this subset.

Cannot get the split names for the config 'default' of the dataset.

Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 82, in _split_generators
                  raise ValueError(
              ValueError: The TAR archives of the dataset should be in WebDataset format, but the files in the archive don't share the same prefix or the same types.
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 65, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                               ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
                  info = get_dataset_config_info(
                         ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
                  raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
              datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

YAML Metadata Warning:empty or missing yaml metadata in repo card

Check out the documentation for more information.

🛡️ Rug Munch Intelligence — MCP Server

AI-Powered Crypto Security. 69 Tools. Don't Get Rugged.

Crypto scam detection • Rug pull prevention • Wallet forensics • Market intelligence • Social sentiment
Built for AI agents (Claude, Cursor, Windsurf, ChatGPT). Accessible via pip install or direct HTTP.

🚀 Quick Start

pip install rug-munch-intelligence-mcp

Add to Claude Desktop / Cursor / Windsurf:

{
  "mcpServers": {
    "rug-munch-intelligence": {
      "command": "python3",
      "args": ["-m", "rug_munch_mcp"],
      "env": { "RUG_MUNCH_API_BASE": "https://rugmunch.io/api/v1" }
    }
  }
}

No API key needed. Free trials on every tool.

📊 69 Tools Across 7 Chains

Security (20 tools)

audit rugshield honeypot_check urlcheck clone_detect fresh_pair profile_flip sniper_detect deployer_history token_age protocol_risk scam_database mev_alert wash_trading bundler_detect liquidity_migration bridge_security rug_pull_predictor anomaly risk_monitor

Intelligence (20 tools)

smartmoney whale whale_scan whale_profile cluster insider insider_network syndicate_scan syndicate_track wallet_graph copy_trade_finder kol_performance whale_accumulation alpha_digest listing_predictor social_signal smart_money_alpha gas_forecast mev_protection sniper_alert

Market (15 tools)

pulse market_price market_sectors trending_tokens market_overview chain_health token_deep_dive liquidity_depth unlock_calendar airdrop_check arbitrage_scan protocol_research yield_scanner defi_yield_scanner dex_activity

Analysis (7 tools)

wallet wallet_pnl portfolio_aggregate portfolio_tracker token_comparison forensics tx_decoder

Social (6 tools)

sentiment sentiment_spike tw_profile tw_timeline tw_search meme_vibe_score

Launchpad (3 tools)

launch launch_intel airdrop_finder

Forensic Bundles (3 tools)

forensic_valuation osint_identity_hunt investigation_report

🔗 Direct API Access (No Install)

Call any tool directly via HTTP — all formats supported:

# OpenAI function calling
curl https://rugmunch.io/api/v1/x402-tools/openai-tools

# Anthropic Claude
curl https://rugmunch.io/api/v1/x402-tools/anthropic-tools

# Google Gemini
curl https://rugmunch.io/api/v1/x402-tools/gemini-tools

# LangChain
curl https://rugmunch.io/api/v1/x402-tools/langchain-tools

# Call any tool
curl -X POST https://rugmunch.io/api/v1/x402-tools/deployer_history \
  -H "Content-Type: application/json" \
  -d '{"address":"0x...","chain":"ethereum"}'

💰 Payment (x402 Protocol)

Tier	Calls	Requirement
Free Trial	1-5 per tool	Device fingerprint
Wallet Connected	+3 per tool	MetaMask/Phantom
Paid	Unlimited	USDC via x402

7 chains: Solana, Base, Ethereum, BSC, Arbitrum, Optimism, Polygon
Refund: Full refund if tool returns no data
Discovery: /.well-known/x402

🏗️ Architecture

This is a thin MCP wrapper around the Rug Munch Intelligence x402 API. All 69 tools are served from our backend — this package translates MCP protocol into HTTP calls.

AI Agent → this MCP server → x402 API → RMI Backend (69 tools)

📡 Links

Resource	URL
Website	https://rugmunch.io
Backend Repo	https://github.com/Rug-Munch-Media-LLC/rugmuncher-backend
x402 Gateway (Base)	https://github.com/Rug-Munch-Media-LLC/x402-gateway-base
x402 Gateway (Solana)	https://github.com/Rug-Munch-Media-LLC/x402-gateway-solana
RugCharts	https://github.com/Rug-Munch-Media-LLC/rugcharts
RugMaps	https://github.com/Rug-Munch-Media-LLC/rugmaps
Twitter/X	https://x.com/cryptorugmunch
Telegram	https://t.me/cryptorugmuncher

🔑 Keywords

mcp-server crypto-security scam-detection rug-pull blockchain-forensics wallet-analysis smart-money whale-tracking defi-security token-analysis sentiment-analysis x402 model-context-protocol ai-agents claude-tools web3-security solana ethereum base arbitrum optimism polygon bsc usdc-payments honeypot-detection wash-trading mev-protection portfolio-tracking kol-tracking token-launch

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