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"]).
c
career-ops
@santifer_career_ops
Evidence RankedBuilder#46
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o
openai-agents-python
@openai_openai_agents_python
Evidence RankedOperator#2
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Score & Rank
Score
45.19
Rank
#46
7d Change
—
Score
72.46
Rank
#2
7d Change
—
Evidence Signals
GitHub100
Packages—
Deps—
Docs92
Discourse14.69
Ecosystem—
Coverage: low
GitHub95.34
Packages100
Deps89.8
Docs74
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: 6921 → 45.19
1 days tracked
→ Flat
Rank: #65 → #65
Score: 6732 → 72.46
1 days tracked
Recent Signals
Dev activity1h ago
Repo spike1h ago
Dev activity5h ago
Repo spike5h ago
Dev activity9h ago
Repo spike1h ago
Repo spike5h ago
Repo spike9h ago
Dev activity13h ago
Repo spike13h ago