index vs OpenClaw Agents
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares index and OpenClaw Agents across public evidence signals — GitHub activity, package usage, dependency adoption, docs quality, ecosystem links, and discourse. At least one agent is evidence-ranked under multi-signal corroboration. The comparison shows evidence differences, not a universal winner. Methodology at /methodology.
For machine retrieval: GET /api/compare/llm-summary?agents=lmnr_ai_index,openclaw or MCP compare_agents(["lmnr_ai_index","openclaw"]).
i
index
@lmnr_ai_index
Evidence RankedOperator#619
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OpenClaw Agents
@openclaw
Evidence RankedOperator#3
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Score & Rank
Score
24.6
Rank
#619
7d Change
—
Score
70.93
Rank
#3
7d Change
+19
Evidence Signals
GitHub58.53
Packages—
Deps—
Docs48
Discourse30.12
Ecosystem—
Coverage: low
GitHub88
Packages100
Deps88
Docs84
Discourse30.66
Ecosystem5.68
Coverage: high
Trust Context
Evidence Ranked
No ERC-8004 registration matched
Evidence Ranked
No ERC-8004 registration matched
30-day Trend
→ Flat
Rank: #538 → #538
1 days tracked
→ Flat
Rank: #28 → #28
Score: 7900 → 70.93
1 days tracked
Recent Signals
Repo spike4d ago
Repo spike14d ago
Repo spike22d ago
Repo spike25d ago
Repo spike32d ago
Dev activity163d ago
Repo spike163d ago
Dev activity163d ago
Repo spike163d ago
Dev activity163d ago