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ToolRoute by YourAITools
x402
ToolRoute by YourAITools is a paid API for AI agents from api.youraitools.co, paid per call via x402, $0.001/call, status unknown (last checked 2026-10-25).
Selects and ranks the most relevant tools from a large toolset for a given task using BM25, returning a shortlist with confidence scores and token-saving stats.
Price / call$0.001
Success—
StatusUnknown
How this service works
Tool selection API for AI agents (tool routing). Pick the tools an agent needs for a task from a large tool list: send set_id (from the free /v1/register) or tools, plus the task. Returns a ranked shortlist (adaptive 3-12, or k), confidence, matched terms, token savings and the definitions in MCP, OpenAI, Anthropic or Gemini form. BM25, no LLM. Unknown set_id: 404, never charged.
Output
Returns a JSON object with the original query, set_id, a ranked shortlist of tools (each with name, BM25 score, and matched terms), a confidence level (high/medium/low), token counts for the full set vs shortlist plus percentage saved, a widened flag, and full tool definitions in the requested format (MCP, OpenAI, Anthropic, Gemini, or names-only).
Example use cases
Slim agent context before LLM call
“I have 300 tools registered under set_id ts_abc123 and my agent needs to answer 'summarize and translate a PDF'. Use ToolRoute to pick the top 8 most relevant tools in MCP format so I don't blow my token budget.”
On-the-fly tool routing without registration
“I don't have a set_id yet — here are my 20 tool definitions as JSON objects. Use ToolRoute to find which ones best match the task 'send an email with an attachment', and give me the shortlist in OpenAI format with confidence info.”
Adaptive tool selection for crypto compliance task
“Route the task 'screen a blockchain address for sanctions and AML risk' against my registered toolset ts_xyz789 and return whatever adaptive shortlist size makes sense, in Anthropic format, so I can see which tools are most relevant.”
Technical details
Endpoint
GEThttps://api.youraitools.co/toolroute/v1/route?utm_source=zero.xyzWhen to prefer
Choose ToolRoute when your agent has a large toolset (50+ tools) and you need to cheaply narrow it down to a relevant shortlist before passing tool definitions to an LLM, saving context tokens. It uses BM25 (no LLM call) so it is fast and deterministic. Prefer it over embedding-based tool selectors when you want transparent keyword matching and matched-term explanations. Best when you have a pre-registered tool set (set_id) for minimal per-call overhead, or when you want to route on-the-fly with inline tool definitions.
Side effects
- Unknown set_id returns 404 and the caller is never charged
- Malformed tool definitions in the tools array may result in no matches or low confidence
- Query too vague may return low-confidence shortlist with many weakly matched tools
- Exceeding max 500 tools in the tools array will be rejected
- k or max_k out of range (1-50) returns validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"query": "read a web page as markdown",
"set_id": "ts_0d467a406d3eb14344c41c32d8802268",
"tokens": {
"all": 11585,
"saved_pct": 89,
"shortlist": 1278
},
"widened": false,
"shortlist": [
{
"name": "read_url",
"score": 14.23,
"matched": [
"read",
"web",
"page",
"markdown"
]
},
{
"name": "scan_url",
"score": 8.09,
"matched": [
"read",
"web",
"page"
]
},
{
"name": "detect_stack",
"score": 7.05,
"matched": [
"web",
"page"
]
}
],
"confidence": "high"
}
}Tags
x402
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