# KiHustle Word Embedding Similarity Proxy

> KiHustle Word Embedding Similarity Proxy is a paid API for AI agents from kihustle.tech, paid per call via x402, $0.002/call, status unknown (last checked 2026-09-14).

Computes semantic similarity between text inputs using word embeddings, returning a similarity or embedding result via a pay-per-call proxy.

## Facts

- Endpoint: POST https://kihustle.tech/bot-bazaar/api/v1/word-embed-similarity-proxy
- Price: $0.002/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-14
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/kihustle-word-embedding-similarity-proxy-c610518d
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_bywd940dssQ2zVvHFYVQw

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability kihustle-word-embedding-similarity-proxy-c610518d -d '<json body>'
```

Example prompt: Can you check how semantically similar these two phrases are: 'machine learning automation' and 'AI-driven workflow'? Use the word embedding similarity proxy to get a similarity score.

## When to prefer this

Choose this endpoint when you need a lightweight, pay-per-call word embedding or semantic similarity computation without setting up your own embedding infrastructure. Useful for agents that occasionally need semantic text comparison and want to avoid heavyweight embedding API subscriptions.

## Known failure modes

- Missing or empty 'text' field returns an error or undefined result
- Very long text strings may be truncated or cause timeout
- Non-string input types may fail schema validation
- Payment failure (insufficient USDC) blocks the call with a 402 response
- Backend proxy unavailability returns a non-success status

## How this service works

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## Output

Returns a JSON object with a 'result' field containing the processed similarity or embedding output and a 'status' field indicating success. The exact numeric similarity score or embedding vector depends on backend processing.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "text": {
   "type": "string"
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "json",
 "example": {
  "result": "processed",
  "status": "success"
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/kihustle-word-embedding-similarity-proxy-c610518d/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from kihustle.tech](https://www.zero.xyz/host/kihustle.tech/llms.txt)