DeepAnalyze vs OpenClaw Agents
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares DeepAnalyze and OpenClaw Agents across public evidence signals — GitHub activity, package usage, dependency adoption, docs quality, ecosystem links, and discourse. Both are indexed but not yet evidence-ranked. The comparison shows evidence differences, not a universal winner. Methodology at /methodology.
For machine retrieval: GET /api/compare/llm-summary?agents=ruc_datalab_deepanalyze,openclaw or MCP compare_agents(["ruc_datalab_deepanalyze","openclaw"]).
D
DeepAnalyze
@ruc_datalab_deepanalyze
Indexed · Awaiting EvidenceBuilder#415
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OpenClaw Agents
@openclaw
Indexed · Awaiting EvidenceOperator#28
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Score & Rank
Score
—
Rank
#415
7d Change
—
Score
7900
Rank
#28
7d Change
+19
Evidence SignalsEvidence ranking not yet assigned
Not evidence-ranked yet. How evidence ranking works →
Not evidence-ranked yet. How evidence ranking works →
Trust Context
Indexed · Awaiting Evidence
No ERC-8004 registration matched
Indexed · Awaiting Evidence
No ERC-8004 registration matched
30-day Trend
→ Flat
Rank: #415 → #415
1 days tracked
→ Flat
Rank: #28 → #28
Score: 7900 → 7900
1 days tracked
Recent Signals
Repo spike22h ago
Repo spike1d ago
Repo spike1d ago
Repo spike1d ago
Repo spike2d ago
Dev activity27d ago
Repo spike27d ago
Dev activity28d ago
Repo spike28d ago
Dev activity28d ago