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Vektorwerk Tool Router
x402
Vektorwerk Tool Router is a paid API for AI agents from vektor.halowerk.com, paid per call via x402, $0.002/call, status unknown (last checked 2026-09-13).
Embeds a natural language request and a provided list of tools locally, then returns deterministic cosine similarity ranks and selects the best-matching tool.
Price / call$0.002
Success—
StatusUnknown
How this service works
Embeds one request and a provided tool list locally, then returns deterministic similarity ranks and the selected tool.
Output
Returns a ranked list of up to top_k tools from the submitted list, each with a cosine similarity score, ordered descending. Includes the name of the single best-matching (selected) tool. All computation is local — no external API calls are made for embedding.
Example use cases
Agent tool dispatcher for logistics
“I have 10 logistics tools defined with names and descriptions. Use Vektorwerk (nomic model, top 3) to figure out which ones best match the user request 'show me a summary of all carrier delays this week'.”
Customer support intent routing
“I've got a list of 8 support tools — like 'refund_processor', 'ticket_escalation', 'order_status_lookup' — and a user just said 'I want to return my order'. Run this through Vektorwerk with bge_m3 and give me the top 1 match.”
Code assistant tool selection
“My coding agent has tools for 'lint_code', 'run_tests', 'deploy_service', and 'generate_docs'. Use Vektorwerk with nomic to rank which tools are most relevant when the user says 'check if my code follows style guidelines', returning the top 2.”
Technical details
Endpoint
POSThttps://vektor.halowerk.com/routeWhen to prefer
Choose this endpoint when you need fast, deterministic, locally-computed tool routing without relying on an LLM to decide which function to call. It is ideal for agent orchestration layers that maintain a fixed toolset and need to rank tools by semantic relevance to a user request. Prefer it over LLM-based routing when you want reproducible, low-latency selection with no stochastic variance, and when your toolset has up to 48 entries. If you need full-text embedding of arbitrary candidate strings (not tool objects), use the sibling semantic search endpoint instead.
Side effects
- Empty or missing 'request' field returns a validation error
- Fewer than 1 or more than 48 tools in the list triggers a schema error
- Invalid model enum value (not 'nomic' or 'bge_m3') returns a bad request
- top_k greater than 10 or less than 1 is rejected
- Tool name or description exceeding character limits causes a 422 error
- Ollama runtime unavailability on the server side may cause a 503 or timeout
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| model | string | |
| tools | array | |
| top_k | integer | |
| request | string |
Tags
x402
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