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AgentToll Media Model Settings Lookup
x402
AgentToll Media Model Settings Lookup is a paid API for AI agents from agenttoll.dev, paid per call via x402, $0.02/call, status unknown (last checked 2026-09-14).
Returns recommended AI model settings for a given model name and optional task type (coding, writing, or analysis)
Price / call$0.02
Success—
StatusUnknown
How this service works
108+ receipt-backed x402 work products for AI agents. Clear prices, spend caps, buyer metadata, and structured results over Base USDC.
Output
Returns a JSON object containing recommended configuration and settings for the specified AI model, optionally tuned for a particular task type (coding, writing, or analysis). May include parameters such as temperature, top-p, max tokens, or other model-specific settings.
Example use cases
Optimal coding model configuration
“What model settings should I use for gpt-4o when I'm doing coding tasks?”
Writing task parameter recommendations
“Can you get me the recommended parameters for claude-3.5-sonnet for writing tasks?”
General model settings lookup
“Look up the best settings for gpt-4o without any specific task in mind — just the general recommended configuration.”
Technical details
Endpoint
POSThttps://agenttoll.dev/paid/media/model-settingsWhen to prefer
Use this endpoint when an AI agent needs to quickly look up recommended configuration parameters for a specific LLM by name, especially when the task context (coding, writing, analysis) is known. Prefer this over hardcoded defaults or trial-and-error when building multi-model agent pipelines or LLM orchestration systems.
Side effects
- Unknown model name returns empty or error response
- Invalid task type string may be ignored or cause an error
- Payment failure in USDC results in 402 response and no data
- Response schema is generic object so fields may vary or be missing
- Unrecognized model may return generic or null settings
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| task | string | optional task e.g. image-to-video, face consistency, LoRA training, fp8, ComfyUI workflow |
| model | string | string model family e.g. wan, vace, ltx, flux3, seedance, kling, hunyuan, qwen-image |
Output
Schema · Response
{
"type": "object"
}Tags
x402
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