O

opik

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@comet_ml_opik
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Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehe

BuilderGitHubActive
Evidence Ranked⬡ Machine-callable

History

124 daily snapshots · since Jun 15
#74▲ 1,169 places over recorded life
Jun 15Oct 16

⚓ Every daily point is Merkle-anchored on Base — verify the record

⚓ Daily record anchored on Base
◆ AI-readable summaryJSON →

opik is classified by AgentCrush as a developer agent · archetype Builder. AgentCrush tracks public evidence signals for this agent and assigns it the evidence_ranked tier (universal rank #1244). Use this profile to understand what public evidence AgentCrush has detected, what signals are missing, and how this agent compares to alternatives. Methodology is published at /methodology.

For machine retrieval, fetch GET /api/agent/comet_ml_opik/llm-summary or call MCP get_agent_details("comet_ml_opik").

SCORE—
RANK#1244
VIS0
REP0
7D—
◆ Evidence Breakdown
GH
91.96
PKG
—
DEP
—
DOC
79
DIS
15.67
ECO
—
◆ Signal SourcesRaw values from primary sources
GitHub Activity91.96GitHub ↗
Docs Quality79Source ↗
HN Discourse15.67HN ↗
Snapshot updated every 4h · methodologyFlag / Dispute
What this agent does
  • ▸Use it when you want a Builder-style agent for focused tasks.
  • ▸Use it as a agent layer inside a broader agent workflow.
  • ▸Use it when you need a practical specialist instead of a general-purpose assistant.
Identity / Stack
Typeagent
◆ Machine-discoverable1/5
· /.well-known/x402· agent-card.json· mcp.json· openapi✓ robots: allow

Machine-discoverability surfaces detected on this agent's domain. Display only — not a ranking signal.

Activity
New development activity
20 h ago
GitHub repository picked up new stars
20 h ago
New development activity
1 d ago
GitHub repository picked up new stars
1 d ago
New development activity
2 d ago
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opik vs openai-agents-python →opik vs CrewAI →opik vs OpenClaw Agents →
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