LLM-Zero-to-Hundred vs CrewAI
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares LLM-Zero-to-Hundred and CrewAI 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=farzad_r_llm_zero_to_hundred,crewai or MCP compare_agents(["farzad_r_llm_zero_to_hundred","crewai"]).
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LLM-Zero-to-Hundred
@farzad_r_llm_zero_to_hundred
Evidence RankedResearcher#819
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CrewAI
@crewai
Evidence RankedBuilder#2
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Score & Rank
Score
21.72
Rank
#819
7d Change
—
Score
71.67
Rank
#2
7d Change
+24
Evidence Signals
GitHub49.83
Packages—
Deps—
Docs41
Discourse—
Ecosystem—
Coverage: low
GitHub87.26
Packages91.48
Deps80.22
Docs86
Discourse16.12
Ecosystem55.07
Coverage: high
Trust Context
Evidence Ranked
No ERC-8004 registration matched
Evidence Ranked
◆ ERC-8004 Registered
base · token 17997
x402 supported
30-day Trend
→ Flat
Rank: #956 → #956
Score: 1374 → 21.72
1 days tracked
→ Flat
Rank: #6 → #6
Score: 8786 → 71.67
1 days tracked
Recent Signals
Repo spike8d ago
Repo spike11d ago
Repo spike20d ago
Repo spike28d ago
Repo spike85d ago
Dev activity124d ago
Repo spike124d ago
Dev activity124d ago
Repo spike124d ago
Repo spike124d ago