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AI Model Lookup by Name or Alias
x402
AI Model Lookup by Name or Alias is a paid API for AI agents from api.agentstools.dev, paid per call via x402, $0.008/call, status unknown (last checked 2026-09-14).
Look up a single normalized AI model record by name or short alias, returning pricing, context limits, capabilities, and metadata fused from multiple open catalogs.
Price / call$0.008
Success—
StatusUnknown
How this service works
Look up one normalized model record by name or short alias such as sonnet or 4o. Returns per-million input and output prices, context and output limits, capability tags, modalities, knowledge cutoff, release date, provider and coding benchmark, each fused from open keyless catalogs LiteLLM, models dev and Aider with a source citation. Unknown names return found false, never an error.
Output
A normalized JSON record for the resolved model including: found flag (true/false), input and output prices per million tokens, context window size, max output tokens, capability tags, supported modalities, knowledge cutoff date, release date, provider name, coding benchmark score, and source citations from LiteLLM/models.dev/Aider catalogs. Unknown names return {found: false} rather than an error.
Example use cases
Example prompt
“What are the input and output prices per million tokens, context window size, and capability tags for 'claude-sonnet-4-5'? I also need the knowledge cutoff and provider info.”
Technical details
Endpoint
GEThttps://api.agentstools.dev/model/lookupWhen to prefer
Use this endpoint when you need authoritative, multi-source-fused metadata for a specific AI model — especially pricing per million tokens, context limits, and capability tags — and want a single normalized record rather than scraping multiple catalogs yourself. Prefer this over web search when you need structured, machine-readable model specs with source citations. Best for agents that need to compare model costs, validate model capabilities, or route tasks to the right model based on context window or modality support.
Side effects
- Unknown or unresolvable model name returns {found: false} rather than an HTTP error
- Fuzzy resolution may match an unintended model if alias is highly ambiguous
- Catalog data may be stale if upstream sources (LiteLLM, models.dev, Aider) haven't been refreshed
- Very new model releases may not yet appear in any of the fused catalogs
- Missing or partial fields if a model exists in only one catalog source
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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