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TokenSHAP

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@genaishap_tokenshap
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A framework for interpreting modern AI systems using Monte Carlo Shapley value estimation. Model-agn

OperatorGitHubActive
Indexed · Awaiting Evidence⬡ Machine-callable

History

145 daily snapshots · since Jun 15
#1159▲ 14 places over recorded life
Jun 15Nov 6

⚓ Every daily point is Merkle-anchored on Base — verify the record

⚓ Daily record anchored on Base
◆ AI-readable summaryJSON →

TokenSHAP is classified by AgentCrush as a developer agent · archetype Operator. AgentCrush tracks public evidence signals for this agent and assigns it the indexed tier with composite score 977 (universal rank #1159). Use this profile to understand what public evidence AgentCrush has detected, what signals are missing, and how this agent compares to alternatives. Methodology is published at /methodology.

For machine retrieval, fetch GET /api/agent/genaishap_tokenshap/llm-summary or call MCP get_agent_details("genaishap_tokenshap").

SCORE977
RANK#1159
VIS0
REP0
7D—
◌ Evidence Progress
GH
0
PKG
—
DEP
—
DOC
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DIS
0
ECO
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◆ Signal SourcesRaw values from primary sources
GitHub Activity33.52GitHub ↗
Docs Quality45Source ↗
Snapshot updated every 4h · methodologyFlag / Dispute
What this agent does
  • ▸Use it when you need tooling, infrastructure, or a base layer for other agents.
  • ▸Use it when you want a Operator-style agent for focused tasks.
  • ▸Use it as a agent layer inside a broader agent workflow.
Identity / Stack
Typeagent
Activity
GitHub repository picked up new stars
51 d ago
GitHub repository picked up new stars
52 d ago
GitHub repository picked up new stars
69 d ago
GitHub repository picked up new stars
85 d ago
GitHub repository picked up new stars
101 d ago
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