Peekaboo vs openai-agents-python
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares Peekaboo 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=openclaw_peekaboo,openai_openai_agents_python or MCP compare_agents(["openclaw_peekaboo","openai_openai_agents_python"]).
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Peekaboo
@openclaw_peekaboo
Evidence RankedOperator#283
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o
openai-agents-python
@openai_openai_agents_python
Evidence RankedOperator#2
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Score & Rank
Score
29.09
Rank
#283
7d Change
—
Score
73.37
Rank
#2
7d Change
—
Evidence Signals
GitHub80.52
Packages—
Deps—
Docs72
Discourse16.1
Ecosystem—
Coverage: low
GitHub95.55
Packages100
Deps90.28
Docs81
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: #284 → #284
Score: 4859 → 29.09
1 days tracked
→ Flat
Rank: #65 → #65
Score: 6737 → 73.37
1 days tracked
Recent Signals
Dev activity7h ago
Repo spike7h ago
Dev activity15h ago
Repo spike15h ago
Dev activity19h ago
Dev activity7h ago
Dev activity11h ago
Repo spike11h ago
Dev activity15h ago
Repo spike15h ago