Roundhouse AI

search.openverbs.com

Scholarly search API - academic papers and research articles for a query, powered by OpenAlex. Returns ranked works with title, authors, year, venue, DOI, citation count and open-access status. A google-scholar-style research / scholarly articles search for agents. Data source: OpenAlex (CC0).

SearchLiveeip155:8453Exactvia cdp
https://search.openverbs.com/v1/scholar
ScholarAcademic-searchResearch-papersScholarly-articlesGoogle-scholar
Calls · 30d
2
This endpoint's own trailing-30-day call count, as published by the upstream catalog and snapshotted daily. 5 snapshots so far.
$7.27
Verified settled volume
1,417 settlements proven x402 by their on-chain EIP-3009 marker.
$0.0060
Listed price
As published in the catalog. Always read the live 402 before paying.
2
Calls · 30d
Upstream's own call count for this endpoint, not ours.
1
Unique payers · 30d
Last called 2026-09-20 08:37Z
—
Upstream on-chain volume
Reported by the source catalog.
Paid to
0xb3f4de103F34b99f0Da19B4F16D6B53a14C2194A

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.

{
  "hint": "Use a supported wallet to pay for this resource using one of the supported payment methods returned in the WWW-Authenticate header. See https://mpp.dev/tools/wallet.md",
  "type": "https://paymentauth.org/problems/payment-required",
  "title": "Payment Required",
  "detail": "Payment is required (Scholarly search API - academic papers and research articles for a query, powered by OpenAlex. Returns ranked works with title, authors, year, venue, DOI, citation count and open-access status. A google-scholar-style research / scholarly articles search for agents. Data source: OpenAlex (CC0).).",
  "status": 402,
  "extensions": {
    "bazaar": {
      "info": {
        "input": {
          "body": {
            "q": "example",
            "limit": 1
          },
          "type": "http",
          "bodyType": "json"
        },
        "output": {
          "type": "json",
          "example": {
            "total": 6058246,
            "results": [
              {
                "doi": "https://doi.org/10.5555/1953048.2078195",
                "url": "https://jmlr.org/papers/v12/pedregosa11a.html",
                "rank": 1,
                "type": "article",
                "year": 2011,
                "title": "Scikit-learn: Machine Learning in Python",
                "venue": "Journal of Machine Learning Research",
                "authors": [
                  "Fabian Pedregosa",
                  "Gaël Varoquaux",
                  "Alexandre Gramfort"
                ],
                "citations": 78542,
                "openAccess": true
              }
            ]
          }
        }
      },
      "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": [
                  "q"
                ],
                "properties": {
                  "q": {
                    "type": "string",
                    "maxLength": 700,
                    "minLength": 1,
                    "description": "Search query (topic, title words, author)."
                  },
                  "limit": {
                    "type": "integer",
                    "maximum": 50,
                    "minimum": 1,
                    "description": "Maximum papers to return. Defaults to 10."
                  }
                },
                "additionalProperties": false
              },
              "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"
              }
            }
          }
        }
      }
    }
  },
  "challengeId": "BRAnKpMFRebjCrDddXSQJlOohLHdEv_Pnv1cuBDq-pc"
}

Accepts

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

0.006USDC≈ $0.006 USD
on Base · exact scheme

Pay 0.006 USDC on Base to 0xb3f4…2194A. The signed payment is good for 5 minutes.

Paid to
0xb3f4…2194A
USD Coin contract
0x8335…02913
Payment window
5 minutes
As published
6000 smallest units
The catalog’s raw entry
[
  {
    "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
    "extra": {
      "name": "USD Coin",
      "version": "2"
    },
    "payTo": "0xb3f4de103F34b99f0Da19B4F16D6B53a14C2194A",
    "amount": "6000",
    "scheme": "exact",
    "network": "eip155:8453",
    "maxTimeoutSeconds": 300
  }
]

Extensions

{
  "bazaar": {
    "info": {
      "input": {
        "body": {
          "q": "example",
          "limit": 1
        },
        "type": "http",
        "method": "POST",
        "bodyType": "json"
      },
      "output": {
        "type": "json",
        "example": {
          "total": 6058246,
          "results": [
            {
              "doi": "https://doi.org/10.5555/1953048.2078195",
              "url": "https://jmlr.org/papers/v12/pedregosa11a.html",
              "rank": 1,
              "type": "article",
              "year": 2011,
              "title": "Scikit-learn: Machine Learning in Python",
              "venue": "Journal of Machine Learning Research",
              "authors": [
                "Fabian Pedregosa",
                "Gaël Varoquaux",
                "Alexandre Gramfort"
              ],
              "citations": 78542,
              "openAccess": true
            }
          ]
        }
      }
    },
    "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": [
                "q"
              ],
              "properties": {
                "q": {
                  "type": "string",
                  "maxLength": 700,
                  "minLength": 1,
                  "description": "Search query (topic, title words, author)."
                },
                "limit": {
                  "type": "integer",
                  "maximum": 50,
                  "minimum": 1,
                  "description": "Maximum papers to return. Defaults to 10."
                }
              },
              "additionalProperties": false
            },
            "type": {
              "type": "string",
              "const": "http"
            },
            "method": {
              "enum": [
                "POST"
              ],
              "type": "string"
            },
            "bodyType": {
              "enum": [
                "json",
                "form-data",
                "text"
              ],
              "type": "string"
            }
          },
          "additionalProperties": false
        },
        "output": {
          "type": "object",
          "required": [
            "type"
          ],
          "properties": {
            "type": {
              "type": "string"
            },
            "example": {
              "type": "object"
            }
          }
        }
      }
    }
  }
}

Provenance

Seen in the source catalog
2026-09-20 08:37Z
Last indexed by Roundhouse
2026-09-24 21:00Z
Last enriched (probe, favicon, geo)
2026-09-19 16:15Z
x402 version
2
Max timeout
300s
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. 5 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 search.openverbs.com 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=search.openverbs.com'
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://search.openverbs.com/v1/scholar, 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.