typedai vs OpenClaw Agents
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares typedai 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=trafficguard_typedai,openclaw or MCP compare_agents(["trafficguard_typedai","openclaw"]).
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typedai
@trafficguard_typedai
Evidence RankedBuilder#458
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OpenClaw Agents
@openclaw
Evidence RankedOperator#3
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Score & Rank
Score
25.94
Rank
#458
7d Change
—
Score
71.5
Rank
#3
7d Change
+19
Evidence Signals
GitHub57.13
Packages—
Deps—
Docs77
Discourse—
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: #893 → #893
Score: 1539 → 25.94
1 days tracked
→ Flat
Rank: #3 → #3
Score: 9236 → 71.5
1 days tracked
Recent Signals
Repo spike2d ago
Repo spike46d ago
Repo spike47d ago
Repo spike65d ago
Repo spike69d ago
Dev activity118d ago
Repo spike118d ago
Dev activity118d ago
Repo spike118d ago
Dev activity118d ago