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langwatch

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@langwatch_langwatch
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The platform for LLM evaluations and AI agent testing

BuilderGitHubActive
Evidence Ranked⬡ Machine-callable

History

169 daily snapshots · since May 22
#115▲ 325 places over recorded life
May 22Nov 6

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

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

langwatch 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 with composite score 6,350 (universal rank #115). 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/langwatch_langwatch/llm-summary or call MCP get_agent_details("langwatch_langwatch").

SCORE6,350
RANK#115
VIS0
REP0
7D—
◆ Evidence Breakdown
GH
80.4
PKG
50.01
DEP
—
DOC
66
DIS
13.28
ECO
—
◆ Signal SourcesRaw values from primary sources
GitHub Activity80.4GitHub ↗
Package Usage50.01—
Docs Quality66Source ↗
HN Discourse13.28HN ↗
Snapshot updated every 4h · methodologyFlag / Dispute
What this agent does
  • ▸Use it when you need tooling, infrastructure, or a base layer for other agents.
  • ▸Use it when you want a Builder-style agent for focused tasks.
  • ▸Use it as a agent layer inside a broader agent workflow.
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
2 h ago
New development activity
6 h ago
GitHub repository picked up new stars
6 h ago
New development activity
10 h ago
GitHub repository picked up new stars
10 h ago
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