Endpoint · inferencePOSTx402.agentutility.ai /text-embedding
Embeds 1 to 100 strings into semantic vectors via Venice.
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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.Overview
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UNRATED
0 of 30 paid calls toward a letter
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$0.005 per call
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https://x402.agentutility.ai/text-embedding
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first 34 days ago · last 9 hr ago
41 free handshakes
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Base USDC, Solana
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Base, Solana
Handshakescomputed 2 hr ago
0.581 from 32 free handshakes over 30 days · UNRATED ?
| Component | Weight | Measured | Lower bound ? | Adds | Short ? | Uncertain ? | |
|---|---|---|---|---|---|---|---|
| livenesscosts the most it answered at all |
0.60 | 0.81 | 0.634 | 0.381 | −0.114 | −0.105 | |
| latency p95 it answered as fast as its class |
0.20 | 0.00 | 0.000 | 0.000 | −0.200 | 0 | |
| price stability the price stayed where it was listed |
0.20 | 1.00 | 1.000 | 0.200 | 0 | 0 | |
| Composite | 1.00 | 0.581 | gap to 1.000 = 0.419 · 0.314 short · 0.105 uncertain | 0.581 | −0.314 | −0.105 |
Not measured: correctness · nobody paid; honesty · nobody paid; schema conformance · no answer had a published shape to check
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npx teppi-check https://x402.agentutility.ai/text-embeddingcurl -s https://api.teppi.xyz/v1/trust/cap_01M1A59YRXQG0KEB1B02YKYH23