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AgentIntel LLM Provider Directory
x402
AgentIntel LLM Provider Directory is a paid API for AI agents from intel.memoryapi.org, paid per call via x402, $0.001/call, status unknown (last checked 2026-09-15).
Lists and filters LLM providers with agent-specific metrics, pricing, capability data, and tool-calling scores
Price / call$0.001
Success—
StatusUnknown
How this service works
x402-powered LLM provider intelligence API. Get recommendations, capability data, and status for AI agent routing decisions. Pay per query in USDC on Base mainnet.
Output
A JSON object containing a count of matching providers, data freshness timestamp, and an array of provider records each including model name, slug, company, active status, input/output pricing per million tokens, agent_score (0-100), tool_calling_score, first_token latency in ms, context window size, and capability flags (json_mode, streaming, x402_native, tool_calling).
Example use cases
Cost-optimized agent model selector
“Find me the cheapest LLM providers that support tool calling and have an agent score above 75 — I need to route my multi-agent system to models that won't break my budget but are still reliable for function calls.”
Low-latency agentic workflow optimizer
“Show me models with the fastest first-token latency that also support JSON mode and streaming — my agents need to respond quickly to user queries without sacrificing structured output capability.”
High-context agent deployment planner
“List all LLM providers with 128k or larger context windows ranked by their tool-calling score — I'm building agents that need to process long documents and make tool calls based on the full context.”
Technical details
Endpoint
GEThttps://intel.memoryapi.org/x402/intel/providersWhen to prefer
Use this endpoint when an AI agent needs to programmatically select or compare LLM providers based on agent-specific metrics like tool_calling_score, agent_score, pricing, and context window — especially in agentic workflows where model selection is dynamic or cost-sensitive. Prefer over generic model comparison sites when you need machine-readable, agent-optimized scoring data.
Side effects
- No providers match the filter criteria — returns count:0 with empty providers array
- Invalid filter values (e.g. non-numeric max_price) may return 400 error
- Payment failure via x402 protocol blocks access
- Stale data if data_updated timestamp is old
- Network timeout if upstream data source is unavailable
Input
{
"best_for": "tool_calling",
"max_price": 2,
"min_context": 32000,
"tool_calling": "true"
}Schema · Request body
| Field | Type | Description |
|---|---|---|
| input | — |
Output
{
"count": 1,
"source": "AgentIntel — LLM Intelligence for AI Agents",
"success": true,
"providers": [
{
"name": "GPT-4o mini",
"slug": "openai-gpt4o-mini",
"model": "gpt-4o-mini",
"notes": "Best cost/quality for agent loops",
"status": "active",
"company": "OpenAI",
"pricing": {
"input_per_million": 0.15,
"output_per_million": 0.6
},
"best_for": [
"cost",
"tool_calling",
"high_volume"
],
"agent_score": 82,
"performance": {
"first_token_ms": 300
},
"capabilities": {
"json_mode": true,
"streaming": true,
"x402_native": false,
"tool_calling": true,
"tool_calling_score": 88
},
"context_window": 128000
}
],
"data_updated": "2026-06-01"
}Schema · Response
{
"example": {
"count": 11,
"success": true,
"providers": [
{
"name": "Claude 3.5 Sonnet",
"slug": "anthropic-claude35-sonnet",
"pricing": {
"input_per_million": 3
},
"agent_score": 91,
"capabilities": {
"json_mode": true,
"x402_native": false,
"tool_calling": true
}
}
]
}
}Tags
x402
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