Roundhouse AI

Pocket Network

OCR and document parsing: turn an image or PDF into extracted text with layout hints. POST /v1/ocr with a document (or raw text) in the body and get the extracted text and metrics as one JSON object. Deterministic on clean inputs at a fixed engine version. Pay per request in USDC; no account, no API key.

MediaLiveeip155:8453Exactvia cdp
https://agent.pocket.network/v1/ocr-document-parsing
DocumentsOcr-document-parsingRest
Calls · 30d
4
This endpoint's own trailing-30-day call count, as published by the upstream catalog and snapshotted daily. 3 snapshots so far.
$4.17
Verified settled volume
835 settlements proven x402 by their on-chain EIP-3009 marker.
$0.0050
Listed price
As published in the catalog. Always read the live 402 before paying.
5
Calls · 30d
Upstream's own call count for this endpoint, not ours.
2
Unique payers · 30d
Last called 2026-09-24 18:24Z
—
Upstream on-chain volume
Reported by the source catalog.
Paid to
0xF732ea490c5766071785a2310523f7fA2CEbB829

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.

Live 402 challenge

Captured by the enrichment pass, not read just now. Prices can change — always read the 402 the endpoint answers with.

{
  "accepts": [
    {
      "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
      "extra": {
        "name": "USD Coin",
        "version": "2"
      },
      "payTo": "0xF732ea490c5766071785a2310523f7fA2CEbB829",
      "amount": "5000",
      "scheme": "exact",
      "network": "eip155:8453",
      "maxTimeoutSeconds": 60
    }
  ],
  "resource": {
    "url": "https://agent.pocket.network/v1/ocr-document-parsing",
    "tags": [
      "documents",
      "ocr-document-parsing",
      "rest"
    ],
    "iconUrl": "https://pocket.network/wp-content/uploads/2026/09/Pocket-Icon.png",
    "mimeType": "application/json",
    "description": "OCR and document parsing: turn an image or PDF into extracted text with layout hints. POST /v1/ocr with a document (or raw text) in the body and get the extracted text and metrics as one JSON object. Deterministic on clean inputs at a fixed engine version. Pay per request in USDC; no account, no API key.",
    "serviceName": "Pocket Network"
  },
  "extensions": {
    "bazaar": {
      "info": {
        "input": {
          "body": {},
          "type": "http",
          "method": "POST",
          "bodyType": "json"
        },
        "output": {
          "type": "json",
          "example": {
            "data": {},
            "portal": {
              "serviceId": "ocr-document-parsing",
              "provenance": "third-party-supplier",
              "schemaCheck": "passed"
            }
          }
        }
      },
      "schema": {
        "type": "object",
        "$schema": "https://json-schema.org/draft/2020-12/schema",
        "required": [
          "input"
        ],
        "properties": {
          "input": {
            "type": "object",
            "required": [
              "type",
              "method",
              "bodyType",
              "body"
            ],
            "properties": {
              "body": {
                "type": "object",
                "required": [],
                "properties": {
                  "pdf": {
                    "type": "string",
                    "description": "Base64-encoded PDF."
                  },
                  "text": {
                    "type": "string",
                    "description": "Raw text (bypasses OCR)."
                  },
                  "image": {
                    "type": "string",
                    "description": "Base64-encoded image."
                  }
                },
                "description": "Provide a document to OCR or raw text; input lives in the body since callers cannot send headers."
              },
              "type": {
                "type": "string",
                "const": "http"
              },
              "method": {
                "enum": [
                  "POST",
                  "PUT",
                  "PATCH"
                ],
                "type": "string"
              },
              "bodyType": {
                "enum": [
                  "json",
                  "form-data",
                  "text"
                ],
                "type": "string"
              }
            },
            "additionalProperties": false
          },
          "output": {
            "type": "object",
            "required": [
              "type"
            ],
            "properties": {
              "type": {
                "type": "string"
              },
              "example": {
                "type": "object",
                "required": [
                  "portal",
                  "data"
                ],
                "properties": {
                  "data": {
                    "type": "object",
                    "description": "For POST /v1/ocr, a JSON object with the extracted text, character count (`chars`), and layout hints. The exact shape is the service's own and is not pinned here; errors return a JSON object with an `error` field, and the GET routes return their own small JSON documents."
                  },
                  "portal": {
                    "type": "object",
                    "required": [
                      "provenance",
                      "serviceId",
                      "schemaCheck"
                    ],
                    "properties": {
                      "serviceId": {
                        "const": "ocr-document-parsing"
                      },
                      "provenance": {
                        "const": "third-party-supplier"
                      },
                      "schemaCheck": {
                        "enum": [
                          "passed",
                          "undeclared",
                          "unchecked"
                        ]
                      }
                    }
                  }
                }
              }
            }
          }
        }
      }
    }
  },
  "x402Version": 2
}

Accepts

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

0.005USDC≈ $0.005 USD
on Base · exact scheme

Pay 0.005 USDC on Base to 0xF732…bB829. The signed payment is good for 1 minute.

Paid to
0xF732…bB829
USD Coin contract
0x8335…02913
Payment window
1 minute
As published
5000 smallest units
The catalog’s raw entry
[
  {
    "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
    "extra": {
      "name": "USD Coin",
      "version": "2"
    },
    "payTo": "0xF732ea490c5766071785a2310523f7fA2CEbB829",
    "amount": "5000",
    "scheme": "exact",
    "network": "eip155:8453",
    "maxTimeoutSeconds": 60
  }
]

Extensions

{
  "bazaar": {
    "info": {
      "input": {
        "body": {
          "text": "Invoice from Acme Corp, total $42.00, dated 2026-01-15."
        },
        "type": "http",
        "method": "POST",
        "bodyType": "json"
      },
      "output": {
        "type": "json",
        "example": {
          "data": {},
          "portal": {
            "serviceId": "ocr-document-parsing",
            "provenance": "third-party-supplier",
            "schemaCheck": "passed"
          }
        }
      }
    },
    "schema": {
      "type": "object",
      "$schema": "https://json-schema.org/draft/2020-12/schema",
      "required": [
        "input"
      ],
      "properties": {
        "input": {
          "type": "object",
          "required": [
            "type",
            "method",
            "bodyType",
            "body"
          ],
          "properties": {
            "body": {
              "type": "object",
              "required": [],
              "properties": {
                "pdf": {
                  "type": "string",
                  "description": "Base64-encoded PDF."
                },
                "text": {
                  "type": "string",
                  "description": "Raw text (bypasses OCR)."
                },
                "image": {
                  "type": "string",
                  "description": "Base64-encoded image."
                }
              },
              "description": "Provide a document to OCR or raw text; input lives in the body since callers cannot send headers."
            },
            "type": {
              "type": "string",
              "const": "http"
            },
            "method": {
              "enum": [
                "POST",
                "PUT",
                "PATCH"
              ],
              "type": "string"
            },
            "bodyType": {
              "enum": [
                "json",
                "form-data",
                "text"
              ],
              "type": "string"
            }
          },
          "additionalProperties": false
        },
        "output": {
          "type": "object",
          "required": [
            "type"
          ],
          "properties": {
            "type": {
              "type": "string"
            },
            "example": {
              "type": "object",
              "required": [
                "portal",
                "data"
              ],
              "properties": {
                "data": {
                  "type": "object",
                  "description": "For POST /v1/ocr, a JSON object with the extracted text, character count (`chars`), and layout hints. The exact shape is the service's own and is not pinned here; errors return a JSON object with an `error` field, and the GET routes return their own small JSON documents."
                },
                "portal": {
                  "type": "object",
                  "required": [
                    "provenance",
                    "serviceId",
                    "schemaCheck"
                  ],
                  "properties": {
                    "serviceId": {
                      "const": "ocr-document-parsing"
                    },
                    "provenance": {
                      "const": "third-party-supplier"
                    },
                    "schemaCheck": {
                      "enum": [
                        "passed",
                        "undeclared",
                        "unchecked"
                      ]
                    }
                  }
                }
              }
            }
          }
        }
      }
    }
  }
}

Provenance

Seen in the source catalog
2026-09-24 18:24Z
Last indexed by Roundhouse
2026-09-24 23:30Z
Last enriched (probe, favicon, geo)
2026-09-21 13:45Z
x402 version
2
Max timeout
60s
Liveness probe
HTTP 402
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. 3 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 Pocket Network 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=Pocket%20Network'
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.pocket.network/v1/ocr-document-parsing, 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://roundhouseai.io/dashboard/team.

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