Ribbita vs OpenClaw Agents
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares Ribbita 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=virtuals_tibbir,openclaw or MCP compare_agents(["virtuals_tibbir","openclaw"]).
Ribbita
@virtuals_tibbir
Evidence RankedTrader#1137
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OpenClaw Agents
@openclaw
Evidence RankedOperator#1
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Score & Rank
Score
15
Rank
#1137
7d Change
—
Score
78.64
Rank
#1
7d Change
+19
Evidence Signals
GitHub—
Packages—
Deps—
Docs—
Discourse—
Ecosystem—
Coverage: very_low
GitHub100
Packages99.82
Deps69.13
Docs90
Discourse98.73
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: #1320 → #1320
1 days tracked
→ Flat
Rank: #20 → #20
Score: 7900 → 78.64
1 days tracked
Recent Signals
No recent signals
Dev activity18d ago
Repo spike18d ago
Dev activity18d ago
Repo spike18d ago
Dev activity18d ago