career-ops vs openai-agents-python
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares career-ops 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=santifer_career_ops,openai_openai_agents_python or MCP compare_agents(["santifer_career_ops","openai_openai_agents_python"]).
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career-ops
@santifer_career_ops
Evidence RankedBuilder#33
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openai-agents-python
@openai_openai_agents_python
Evidence RankedOperator#3
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Score & Rank
Score
45.9
Rank
#33
7d Change
—
Score
71.5
Rank
#3
7d Change
—
Evidence Signals
GitHub100
Packages—
Deps—
Docs92
Discourse21.13
Ecosystem—
Coverage: low
GitHub94.81
Packages100
Deps86.69
Docs71
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: #38 → #38
Score: 6875 → 45.9
1 days tracked
→ Flat
Rank: #59 → #59
Score: 6720 → 71.5
1 days tracked
Recent Signals
Repo spike2h ago
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