telegram-search vs openai-agents-python
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares telegram-search and openai-agents-python across public evidence signals — GitHub activity, package usage, dependency adoption, docs quality, ecosystem links, and discourse. Both are indexed but not yet evidence-ranked. The comparison shows evidence differences, not a universal winner. Methodology at /methodology.
For machine retrieval: GET /api/compare/llm-summary?agents=groupultra_telegram_search,openai_openai_agents_python or MCP compare_agents(["groupultra_telegram_search","openai_openai_agents_python"]).
t
telegram-search
@groupultra_telegram_search
Indexed · Awaiting EvidenceOperator#297
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o
openai-agents-python
@openai_openai_agents_python
Indexed · Awaiting EvidenceOperator#66
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Score & Rank
Score
4806
Rank
#297
7d Change
—
Score
6733
Rank
#66
7d Change
—
Evidence SignalsEvidence ranking not yet assigned
Not evidence-ranked yet. How evidence ranking works →
Not evidence-ranked yet. How evidence ranking works →
Trust Context
Indexed · Awaiting Evidence
No ERC-8004 registration matched
Indexed · Awaiting Evidence
No ERC-8004 registration matched
30-day Trend
→ Flat
Rank: #297 → #297
Score: 4806 → 4806
1 days tracked
→ Flat
Rank: #66 → #66
Score: 6733 → 6733
1 days tracked
Recent Signals
Repo spike1d ago
Repo spike2d ago
Repo spike3d ago
Repo spike5d ago
Repo spike5d ago
Repo spike2h ago
Dev activity1d ago
Repo spike1d ago
Dev activity1d ago
Repo spike1d ago