agent-toolbox.zafermemon87.workers.dev

Text embeddings with BGE-M3 (multilingual, 1024 dimensions) for search, clustering and RAG: up to 100 texts of up to 8,000 characters per call.

SearchLiveeip155:8453Exactvia cdp
Settlements · 30d
105
No per-endpoint history for this service yet, so this is payments indexed to its PROVIDER's wallet over 30 days.
$1.61
Verified settled volume
105 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.
1
Calls · 30d
Upstream's own call count for this endpoint, not ours.
1
Unique payers · 30d
Last called 2026-10-24 14:30Z
—
Upstream on-chain volume
Reported by the source catalog.
Paid to
0xa41015022322640f03a895bc439da80ddfd73954

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 0xa410…73954. The signed payment is good for 5 minutes.

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": "0xa41015022322640f03a895bc439da80ddfd73954",
    "amount": "2000",
    "scheme": "exact",
    "network": "eip155:8453",
    "maxTimeoutSeconds": 300
  }
]

Extensions

{
  "bazaar": {
    "info": {
      "input": {
        "type": "mcp",
        "example": {
          "texts": [
            "The cat sat on the mat",
            "A feline rested on a rug"
          ]
        },
        "toolName": "embed_text",
        "transport": "streamable-http",
        "description": "Text embeddings with BGE-M3 (multilingual, 1024 dimensions) for search, clustering and RAG: up to 100 texts of up to 8,000 characters per call.",
        "inputSchema": {
          "type": "object",
          "required": [
            "texts"
          ],
          "properties": {
            "texts": {
              "type": "array",
              "items": {
                "type": "string"
              },
              "maxItems": 100,
              "description": "Texts to embed"
            }
          }
        }
      },
      "output": {
        "type": "json",
        "example": {
          "count": 2,
          "model": "bge-m3",
          "plain": "2 embeddings of 1024 dimensions.",
          "dimensions": 1024,
          "embeddings": [
            [
              -0.0029201507568359375,
              0.0237579345703125,
              -0.083740234375,
              -0.0017709732055664062,
              "...1020 more"
            ],
            [
              -0.0377197265625,
              0.019805908203125,
              -0.0533447265625,
              -0.0042572021484375,
              "...1020 more"
            ]
          ]
        }
      }
    },
    "schema": {
      "type": "object",
      "$schema": "https://json-schema.org/draft/2020-12/schema",
      "required": [
        "input"
      ],
      "properties": {
        "input": {
          "type": "object",
          "required": [
            "type",
            "toolName",
            "inputSchema"
          ],
          "properties": {
            "type": {
              "type": "string",
              "const": "mcp"
            },
            "example": {
              "type": "object"
            },
            "toolName": {
              "type": "string"
            },
            "transport": {
              "enum": [
                "streamable-http"
              ],
              "type": "string"
            },
            "description": {
              "type": "string"
            },
            "inputSchema": {
              "type": "object"
            }
          },
          "additionalProperties": false
        },
        "output": {
          "type": "object",
          "required": [
            "type"
          ],
          "properties": {
            "type": {
              "type": "string"
            },
            "example": {
              "type": "object"
            }
          }
        }
      }
    }
  }
}

Provenance

Seen in the source catalog
2026-10-24 14:30Z
Last indexed by Roundhouse
2026-10-26 20:30Z
Last enriched (probe, favicon, geo)
2026-10-24 15:16Z
x402 version
2
Max timeout
300s
Liveness probe
HTTP 200
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

No per-endpoint history for this service yet, so this is payments indexed to its PROVIDER's wallet over 30 days. 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 agent-toolbox.zafermemon87.workers.dev 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=agent-toolbox.zafermemon87.workers.dev'
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://agent-toolbox.zafermemon87.workers.dev/mcp#embed_text#embed_text, 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. Either pay over x402 (mint a personal key for $0.01 at
GET https://api.roundhouseai.io/v0/test/x402), or ask me for an organization key, which I create at
https://roundhouseai.io/dashboard/connections. If you have neither, ask before going further.

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