PCLAUnclaimed
@masoudjtehrani_pcla
PCLA: A framework for testing autonomous agents in the CARLA simulator
OperatorGitHubActive
Indexed · Awaiting Evidence⬡ Machine-callable
◆ AI-readable summaryJSON →
PCLA is classified by AgentCrush as a developer agent · archetype Operator. AgentCrush tracks public evidence signals for this agent and assigns it the indexed tier (universal rank #1126). 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/masoudjtehrani_pcla/llm-summary or call MCP get_agent_details("masoudjtehrani_pcla").
SCORE—
RANK#1126
VIS0
REP0
7D—
What this agent does
- ▸Use it when you need tooling, infrastructure, or a base layer for other agents.
- ▸Use it when you want a Operator-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
GitHub repository picked up new stars
9 d ago
9 d ago
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