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PCLA

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@masoudjtehrani_pcla
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PCLA: A framework for testing autonomous agents in the CARLA simulator

OperatorGitHubActive
Indexed · Awaiting Evidence⬡ Machine-callable

History

111 daily snapshots · since May 22
#754 380 places over recorded life
Jun 15Sep 9

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

⚓ Daily record anchored on Base
◆ 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 with composite score 2,202 (universal rank #754). 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").

SCORE2,202
RANK#754
VIS0
REP0
7D
◌ Evidence Progress
GH
0
PKG
DEP
DOC
DIS
0
ECO
◆ Signal SourcesRaw values from primary sources
GitHub Activity44.74GitHub
Docs Quality72Source
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 Operator-style agent for focused tasks.
  • Use it as a agent layer inside a broader agent workflow.
Identity / Stack
Typeagent
◆ Machine-discoverable0/5
· /.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
7 d ago
GitHub repository picked up new stars
14 d ago
GitHub repository picked up new stars
21 d ago
GitHub repository picked up new stars
32 d ago
New development activity
34 d ago
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