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.
AiSpace
Category: AI.
~$0.001/call
AI
Api Embeddings
Generate text embeddings using OpenAI text-embedding-3-small — for semantic search, clustering, RAG
x402engine
Category: AI.
$0.001/call
AI
Text Embedding
Embeds 1 to 100 strings into semantic vectors via Venice. Tier shorthand: 'default' → gemini-embedding-2-preview (newest, recommended), 'fast' → text-embedding-bge-m3, 'openai-compat' → text-embedding-3-small. You can also pass a full Venice embedding model name. Returns a list of vectors aligned with input order. Use it for text embedding, vector embedding, Venice embeddings, Gemini embeddings, or BGE-M3.
Rerank documents against a query with BGE Reranker Base (@cf/baai/bge-reranker-base). POST query plus documents[]; returns relevance scores for search and RAG pipelines.
GEDX402
Category: AI.
~$0.0023/call
AI
Generate an image with Venice AI
OpenAI-compatible image generation across the Venice AI model catalog. Pay per request in USDC on Base via x402, with no account and no API key. Overpayment is never lost: it banks as reusable wallet credit for your next call. Model ids and live prices: GET https://api.gondola-ai.com/v1/models.
AI API gateway settling in USDC on both Base and Solana. 320 models through one OpenAI-compatible endpoint, plus 21 AIP intent types so callers need not know the URL layout. Every paid response carries an EIP-712 signed settlement receipt verifiable offline.
JarvisClaw
Category: AI.
~$0.041/call
AI
J
Convert text to speech
AI API gateway settling in USDC on both Base and Solana. 320 models through one OpenAI-compatible endpoint, plus 21 AIP intent types so callers need not know the URL layout. Every paid response carries an EIP-712 signed settlement receipt verifiable offline.
JarvisClaw
Category: AI.
~$0.053501/call
AI
V1 Rag Ask
Agent-native retrieval over x402 — send a query and, optionally, source URLs to index: get back ranked, cited chunks. Hybrid retrieval by default (dense vectors + BM25 keyword search, fused and reranked) beats vector-only search on exact tokens (error codes, API symbols, config keys). Pay-on-success: a query that matches nothing settles nothing. Ask $0.008; prepay $1 = 10,000 credits, spent at 80% of the per-op price (20% off). Docs: https://agentx402.ai