ai-mocks vs openai-agents-python
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares ai-mocks 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=mokksy_ai_mocks,openai_openai_agents_python or MCP compare_agents(["mokksy_ai_mocks","openai_openai_agents_python"]).
a
ai-mocks
@mokksy_ai_mocks
Evidence RankedBuilder#527
View profile →
o
openai-agents-python
@openai_openai_agents_python
Evidence RankedOperator#3
View profile →
Score & Rank
Score
22.85
Rank
#527
7d Change
—
Score
71.13
Rank
#3
7d Change
—
Evidence Signals
GitHub45.07
Packages—
Deps—
Docs64
Discourse—
Ecosystem—
Coverage: low
GitHub94.77
Packages100
Deps85.87
Docs69
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: #610 → #610
Score: 3845 → 22.85
1 days tracked
→ Flat
Rank: #58 → #58
Score: 6718 → 71.13
1 days tracked
Recent Signals
Dev activity17h ago
Dev activity3d ago
Dev activity4d ago
Dev activity5d ago
Dev activity6d ago
Repo spike1h ago
Repo spike5h ago
Dev activity9h ago
Repo spike9h ago
Dev activity13h ago