dexter-jp vs openai-agents-python
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares dexter-jp 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=edinetdb_dexter_jp,openai_openai_agents_python or MCP compare_agents(["edinetdb_dexter_jp","openai_openai_agents_python"]).
d
dexter-jp
@edinetdb_dexter_jp
Evidence RankedResearcher#490
View profile →
o
openai-agents-python
@openai_openai_agents_python
Evidence RankedOperator#1
View profile →
Score & Rank
Score
25.46
Rank
#490
7d Change
—
Score
72.51
Rank
#1
7d Change
—
Evidence Signals
GitHub59.78
Packages—
Deps—
Docs66
Discourse—
Ecosystem—
Coverage: low
GitHub95.41
Packages100
Deps89.95
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: #495 → #495
Score: 4243 → 25.46
1 days tracked
→ Flat
Rank: #66 → #66
Score: 6734 → 72.51
1 days tracked
Recent Signals
Dev activity7d ago
New release7d ago
Repo spike9d ago
Repo spike11d ago
Repo spike13d ago
Repo spike2h ago
Repo spike6h ago
Repo spike10h ago
Repo spike14h ago
Dev activity18h ago