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Pay-per-call crypto intel via x402: honeypot/rug check, whale flows, unlocks, MEV, liquidation risk

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Status
Unhealthy
Uptime
7.1% over 22 days
Last Tested
Transport
Streamable HTTP
URL
ChatGPT
–
Claude
–

TDQS

A3.6/5.0

Scored across 22 tools

Disambiguation3/5

Many tools have clearly distinct targets such as gasForecast, ensLookup, polymarketOdds, and daoGovernanceFeed. However, the token-risk cluster is overlapping: tokenSafety, preTradeCheck, tokenDueDiligence, and newTokens all include honeypot/rug screening, while addressRiskCheck, walletProfile, and whaleFlows share address-intelligence territory. Descriptions explain depth differences, but an agent can still hesitate between several plausible tools.

Naming Consistency4/5

Most names are camelCase resource-oriented phrases and are readable as a family. The main deviation is recommend_endpoint, which uses snake_case while everything else uses camelCase. There is also a mix of noun-phrase names and verb-phrase names, but the convention is still mostly predictable.

Tool Count3/5

Twenty-two tools is heavy for a single MCP server, though the server spans a broad onchain-intelligence domain. Several composite risk tools overlap enough that the count feels somewhat inflated rather than tightly scoped. It is workable but borderline.

Completeness4/5

The surface covers a wide range of onchain intelligence: address risk, approvals, token safety, due diligence, prices, wallet profiling, whale flows, unlocks, DeFi yields, liquidation risk, MEV, gas, news, DAO governance, ENS, and prediction markets. Obvious adjacent gaps remain, such as historical OHLCV, raw contract reads, or portfolio/PnL analytics, but core risk and research workflows are well covered.

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