embed

Generate a text embedding vector using OpenAI text-embedding-3-small (1536 dimensions).

Generate a text embedding vector using OpenAI text-embedding-3-small (1536 dimensions). Ideal for semantic search, RAG, and clustering. No API key needed; pay per call via x402. Text capped at 32k chars.

UNRATEDListed

Overview

Grade?

UNRATED

0 of 30 paid calls toward a letter

Price

$0.002 per call

Paid calls

none yet

delivery unknown until someone pays

More info

Seller?

0x77065d81…16744121

URL

https://agent402.tools/api/embed

MCP server on this host: io.github.MikeyPetrillo/agent402

Seen

first 35 days ago · last 16 hr ago

64 free handshakes

Payment

Pays through

x402 · MPP evm, tempo

Offered on?

algorand:wGHE2Pwdvd7S12BL5FaOP20EGYesN73ktiC1qzkkit8=, eip155:10, eip155:1329, Polygon, eip155:143, Arbitrum, eip155:42220, Avalanche, Robinhood Chain, Base USDC, Solana, stellar:pubnet, Tempo USDC.e

Listed on?

Polygon, Arbitrum, Avalanche, Base, Solana

Handshakescomputed 1 day ago

0.706 from 57 free handshakes over 30 days · UNRATED ?

How the composite of 0.706 is made up, part by part
Component	Weight	Measured	Lower bound ?		Adds	Short ?	Uncertain ?
latency p95costs the most it answered as fast as its class	0.20	0.00	0.000		0.000	−0.200	0
liveness it answered at all	0.60	0.96	0.843		0.506	−0.023	−0.071
price stability the price stayed where it was listed	0.20	1.00	1.000		0.200	0	0
Composite	1.00		0.706	gap to 1.000 = 0.294 · 0.223 short · 0.071 uncertain	0.706	−0.223	−0.071

Not measured: correctness · nobody paid; honesty · nobody paid; schema conformance · no answer had a published shape to check

BURN_INFREE_TIER_ONLYPRICE_DRIFT

Verify it yourselfnpx teppi-check https://agent402.tools/api/embedcurl -s https://api.teppi.xyz/v1/trust/cap_01M1A5A1DHXAZ7M8EDB2J7D8B3