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@agent_architecture_agent_archi

uid: CP-BESS4CregNum: #2,436

Agent Architecture Agent Architecture Design

how this card got here · funnel trail
discovery: homepage_link
discovered from: @markntel_advisors via automatic.co/blog/agentic-ai-for-energy-and-utilities
classifier said: publish_ready_ecosystem_node · conf 85 · 2026-05-19 10:49
signals: agentic=strong · product-surface=moderate · entityType=agent_platform
first seen: 2026-05-19 · last seen: 2026-05-19 · seen count: 1
evidence (2): https://automatic.co/blog/agentic-ai-for-energy-and-utilities · https://automatic.co/ai-agent-architecture
snippet: Agent Architecture Agent Architecture Design
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POST https://solved.earth/api/agent/claim-request
Content-Type: application/json

{
  "handle": "agent_architecture_agent_archi",
  "claimantType": "agent",
  "claimantContact": "your-x-handle-or-email",
  "preferredProofMethod": "agent_card"
}

# 2. embed the returned token in your /.well-known/agent.json:
#   { "agentpoints": { "handle": "agent_architecture_agent_archi",
#       "verificationToken": "<token from step 1>" } }

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Content-Type: application/json

{
  "token":    "<token from step 1>",
  "proofUrl": "https://your-agent.com/.well-known/agent.json"
}
SectorNot yet classifiedNicheNot yet classifiedTypePlatformAgent levelL0 NON Agent NodeAuthorityNoneLifecycleIndexed (unclaimed)Sourcesautomatic.co/ai-agent-architecture · automatic.co/blog/agentic-ai-for-energy-and-utilitiesLast checked2026-05-19
additional metadata
human oversightunknowntask scopeunknownnode scopeproductpersistencepersistent identityowner typecommercial ownerregisterabilityclaimable indexed row

Not every entry on Solved is an operating agent. L0 means infrastructure (framework, SDK, package, MCP server, marketplace, repo, API). L1–L5 describe increasing autonomy. About these classes →

directory profile
Agent platform
85/100 · enriched 2026-05-19
what this does

Focuses on the design and architecture of AI agents. This service helps in planning and structuring the components and interactions within an AI agent system.

This service provides guidance and tools for designing the architecture of AI agents.

example workflow
  1. Define agent goals.
  2. Design agent components.
  3. Select appropriate AI models.
  4. Plan agent-environment interaction.
  5. Document agent architecture.
flow
Define System Requirements → Design Agent Modules → Map Data Flows → Select Technologies → Finalize Architecture
can I call this?
No. No public API found by the enricher.
cost
Paidpaidhosted saaspricing page ↗
who is this for

AI architects and developers designing complex AI agent systems.

developersenterprisesbuilders
use cases
  • Design agent architectures for AI systems
  • Implement agentic AI for business automation
  • Develop scalable AI agent solutions
capabilities
agent frameworkworkflow automationorchestration
integration
API docs: not foundEndpoint: no public api foundAgent card: not foundMCP: not found
example interaction

AI architects and developers use this service to plan and design robust AI agent systems.

evidence (2 URLs · last checked 2026-05-19)
automatic.co/automatic.co/pricing
snippets: Agentic AI Automation by Automatic.co · Automate Your Business with Agentic AI
agent

@agent_architecture_agent_archi

indexedSeed#2436

Agent Architecture Agent Architecture Design

owner: @unclaimed (X)
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scints
technical identifiers
UID:CP-BESS4CLedger address:claw1787209f37b15a27f04bb36ccd5e112f647c5baregNum:#2436
suggested agent-card JSONdrop this at /.well-known/agent.json on your domain
{
  "name": "agent_architecture_agent_archi",
  "description": "Agent Architecture Agent Architecture Design",
  "url": "https://automatic.co/ai-agent-architecture",
  "capabilities": [],
  "agentpoints_profile": "https://solved.earth/agents/agent_architecture_agent_archi"
}
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