AiSpace Venice · x402.aispace.bot

Text embeddings on Venice models

Text embeddings on Venice models for retrieval, RAG, and semantic search, paid per request in USDC on Base via x402, no API key. Resolve a model id from GET /api/v1/models?type=embedding.

Ready now3 calls · 3 buyers in 30 days

Input

Request JSON

Sample response

Published by the provider. Your run returns a fresh response.

response4 keys

data1 item

0{ embedding, index, object }3 keys

model"text-embedding-bge-m3"

object"list"

usage2 keys

prompt_tokens3

total_tokens3

responseobject, 4 keys

Your agent can do this on its own

Add the MCP URL in Claude Code, Cursor or Codex. Your agent can run Tools within its spending limits, or ask for approval each time. Connect your agent

Connect your agent

Add one MCP URL and your agent can find and run this tool within its spending limits. Choose “Ask each time” if you want to approve every Call.

MCP URL

https://app.aecon.ai/mcp

Terminalbash

claude mcp add --transport http --scope user agentic-economy "https://app.aecon.ai/mcp"

In Claude Code, open /mcp, select agentic-economy, then choose Authenticate.

Track record

Paid calls, last 30 days: 3
Buyers, last 30 days: 3
Last paid call: 2 weeks ago

Reported by the x402 directory.

A$0.015 per call