Busker Embeddings

Generate sentence embeddings (all-MiniLM-L6-v2, 384-dim, mean-pooled + L2-normalized) for up to 96 texts per call. Drop-in compatible with any all-MiniLM-L6-v2 index. Pairs with /chunk for a complete RAG pipeline.

SearchLiveeip155:8453Exactvia cdp

https://workbot1.oddsys.org/embed

EmbeddingsVectorRagSemantic-searchMinilm

Calls · 30d

This endpoint's own trailing-30-day call count, as published by the upstream catalog and snapshotted daily. 6 snapshots so far.

$0.13

Verified settled volume

45 settlements proven x402 by their on-chain EIP-3009 marker.

$0.0020

Listed price

As published in the catalog. Always read the live 402 before paying.

Calls · 30d

Upstream's own call count for this endpoint, not ours.

Unique payers · 30d

Last called 2026-07-31 00:09Z

—

Upstream on-chain volume

Reported by the source catalog.

Paid to

0x15459498e1191d8787c83177809bd54022fA18c4

The wallet the 402 directs payment to. Its whole payment record — every payer, every chain — is on the merchant page.

Asset 0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913

Provider

The payTo wallet does not resolve to a registered ERC-8004 agent. That is not a verdict on the service — most of the catalog is unregistered.

Accepts

The payment requirements as published to the catalog. Read the live 402 before paying — a price here is a claim, not a quote.

0.002USDC≈ $0.002 USD

on Base · exact scheme

Pay 0.002 USDC on Base to 0x1545…A18c4. The signed payment is good for 5 minutes.

Paid to: 0x1545…A18c4
USD Coin contract: 0x8335…02913
Payment window: 5 minutes
As published: 2000 smallest units

The catalog’s raw entry

[
  {
    "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
    "extra": {
      "name": "USD Coin",
      "version": "2"
    },
    "payTo": "0x15459498e1191d8787c83177809bd54022fA18c4",
    "amount": "2000",
    "scheme": "exact",
    "network": "eip155:8453",
    "maxTimeoutSeconds": 300
  }
]

Extensions

{
  "bazaar": {
    "info": {
      "input": {
        "body": {
          "texts": [
            "first passage",
            "second passage"
          ]
        },
        "type": "http",
        "method": "POST",
        "bodyType": "json"
      },
      "output": {
        "body": {
          "meta": {
            "count": "number",
            "model": "string",
            "dimensions": "number",
            "inferenceMs": "number",
            "totalTokens": "number"
          },
          "embeddings": "array of float arrays (384-dim, L2-normalized)"
        },
        "example": {
          "meta": {
            "count": 1,
            "model": "all-minilm-l6-v2",
            "dimensions": 384,
            "normalized": true,
            "inferenceMs": 34,
            "totalTokens": 9
          },
          "embeddings": [
            [
              0.021,
              -0.043,
              0.118,
              "…381 more"
            ]
          ]
        },
        "bodyType": "json"
      }
    },
    "schema": {
      "properties": {
        "input": {
          "type": "object",
          "required": [
            "type",
            "method",
            "bodyType",
            "body"
          ],
          "properties": {
            "body": {
              "type": "object",
              "properties": {
                "text": {
                  "type": "string",
                  "description": "Convenience: a single text instead of the texts array."
                },
                "texts": {
                  "type": "array",
                  "items": {
                    "type": "string"
                  },
                  "description": "1-96 texts to embed (each truncated at 256 tokens)."
                }
              },
              "additionalProperties": false
            },
            "type": {
              "type": "string",
              "const": "http"
            },
            "method": {
              "enum": [
                "POST"
              ],
              "type": "string"
            },
            "bodyType": {
              "enum": [
                "json"
              ],
              "type": "string"
            }
          },
          "additionalProperties": false
        }
      }
    },
    "routeTemplate": "/embed"
  }
}

Provenance

Seen in the source catalog: 2026-07-31 00:09Z
Last indexed by Roundhouse: 2026-08-29 23:50Z
Last enriched (probe, favicon, geo): 2026-08-31 22:15Z
x402 version: 2
Max timeout: 300s
Liveness probe: HTTP 405

Report

Hand this page to an agent

Copy the prompt and paste it into Claude, an MCP client or your own agent — it will vet this service and call it over the free read API. No key, no account.

GET api.roundhouseai.io/v0/endpoints

This endpoint's own trailing-30-day call count, as published by the upstream catalog and snapshotted daily. 6 snapshots so far. Verified volume counts only settlements with an on-chain EIP-3009 marker.

Open skill.md

Show the prompt

Using Roundhouse, look up the x402 service Busker Embeddings and tell me whether it is
worth paying: what a call costs, whether the endpoint answered when last probed, and what
its payment record actually shows.

curl -s 'https://api.roundhouseai.io/v0/endpoints?q=Busker%20Embeddings'
curl -s 'https://api.roundhouseai.io/v0/merchants/<the payTo wallet returned above>'

Then call it: read the price from the live 402 at https://workbot1.oddsys.org/embed, never from
a cached figure, and pay with an x402 client.

The /v0 API needs an API key (`authorization: Bearer rh_live_…`) on everything except
/v0/unified* and /v0/endpoints. Mint a personal key for $0.01 at GET https://api.roundhouseai.io/v0/test/x402,
or use an organization key from https://app.roundhouseai.io/dashboard/team.

If you do not have Roundhouse tools or skills installed, read
https://app.roundhouseai.io/skill.md first — it is the whole procedure.