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DeFade

DeFade

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by DeFadeLtd
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JavaScript
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Deploy Server
One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

TDQS

A4.8/5.0

Scored across 15 tools

Disambiguation5/5

Every tool targets a distinct forensic dimension—overall scan, rug probability, dev behavior, holder distribution, whale activity, liquidity, launch coordination, wallet links, smart money, funding provenance, behavioral clusters, fee fingerprints, price, and quota. The four 'who is behind this token' tools are explicitly differentiated by evidence type (proven transfers vs funding origin vs behavioral inference vs config fingerprint). get_rug_score and get_token_scan are explicitly inverse direction.

Naming Consistency5/5

All 15 tools follow the exact get_<noun_phrase> pattern in snake_case, with no exceptions. The verbs are consistent (get), and each noun clearly identifies the resource or metric. This is a textbook example of predictable naming.

Tool Count5/5

15 tools is on the higher end but each earns its place in a comprehensive token risk analysis suite. The count is justified by the domain's complexity—forensic risk assessment requires specialized probes for launch, holders, liquidity, wallet graphs, and behavioral patterns. No tool is redundant or trivial.

Completeness5/5

The surface covers the full lifecycle of token risk analysis: initial scan, rug probability, dev history, holder concentration, whale activity, liquidity locks, launch integrity, insider links, smart money, funding provenance, behavioral clustering, config fingerprinting, price history, and API quota. There are no obvious dead ends—every 'who is behind this' angle has a dedicated tool, and cross-references guide the agent to complementary tools.

Maintenance

ActivityMaintained
ResponsivenessNo recent community issues

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