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GEDX402 Knowledge

embeddings · x402 bazaar · grade score 67.0/100

Generate text embeddings with QWEN3 Embedding 0.6B (@cf/qwen/qwen3-embedding-0.6b). POST text or texts[] for semantic search, RAG retrieval, and clustering; billed by input character volume.

Today's reading

Uptime (24h)

—

Avg latency

—

Min price

$0.0030

Endpoints

5

Service details

Marketplace: X402 Bazaar
Verified: ✓ Yes
Networks: eip155:137, eip155:42161, eip155:480, eip155:8453, solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp
Wallet: 0xb3C2776cE3F99cb3366520c27b4aC5D436942Ab6
Endpoint: https://ged-x402-embed.jvalamis.workers.dev/v1/embed/:model

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