databerry vs OpenClaw Agents
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares databerry 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=gmpetrov_databerry,openclaw or MCP compare_agents(["gmpetrov_databerry","openclaw"]).
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databerry
@gmpetrov_databerry
Evidence RankedBuilder#1033
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OpenClaw Agents
@openclaw
Evidence RankedOperator#3
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Score & Rank
Score
18.56
Rank
#1033
7d Change
—
Score
71.5
Rank
#3
7d Change
+19
Evidence Signals
GitHub57.46
Packages—
Deps—
Docs0
Discourse7.81
Ecosystem—
Coverage: low
GitHub88
Packages100
Deps69.69
Docs84
Discourse63.27
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: #823 → #823
Score: 1736 → 18.56
1 days tracked
→ Flat
Rank: #3 → #3
Score: 9236 → 71.5
1 days tracked
Recent Signals
Repo spike18d ago
Repo spike24d ago
Repo spike35d ago
Repo spike38d ago
Repo spike39d ago
Dev activity117d ago
Repo spike117d ago
Dev activity117d ago
Repo spike117d ago
Dev activity117d ago