clay vs openai-agents-python
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares clay and openai-agents-python 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=chadbyte_clay,openai_openai_agents_python or MCP compare_agents(["chadbyte_clay","openai_openai_agents_python"]).
c
clay
@chadbyte_clay
Evidence RankedBuilder#91
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o
openai-agents-python
@openai_openai_agents_python
Evidence RankedOperator#1
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Score & Rank
Score
42.73
Rank
#91
7d Change
—
Score
73.79
Rank
#1
7d Change
—
Evidence Signals
GitHub62.07
Packages56.12
Deps—
Docs62
Discourse26.23
Ecosystem—
Coverage: medium
GitHub95.67
Packages100
Deps90.63
Docs84
Discourse22.8
Ecosystem—
Coverage: high
Trust Context
Evidence Ranked
No ERC-8004 registration matched
Evidence Ranked
No ERC-8004 registration matched
30-day Trend
→ Flat
Rank: #979 → #979
1 days tracked
→ Flat
Rank: #1241 → #1241
1 days tracked
Recent Signals
Repo spike21m ago
Dev activity1d ago
Dev activity2d ago
New release2d ago
Dev activity2d ago
Repo spike21m ago
Repo spike4h ago
Repo spike8h ago
Repo spike16h ago
Repo spike1d ago