research.genexxis.com

Citation neighbourhood of a seed paper (by DOI, arXiv id, OpenAlex id or query): the seed, OpenAlex related works, most-cited citing works and most-cited references, each with full paper fields.

SearchUnknowneip155:8453Exactvia cdp
Settlements · 30d
297
No per-endpoint history for this service yet, so this is payments indexed to its PROVIDER's wallet over 30 days.
$2.58
Verified settled volume
297 settlements proven x402 by their on-chain EIP-3009 marker.
$0.015
Listed price
As published in the catalog. Always read the live 402 before paying.
3
Calls · 30d
Upstream's own call count for this endpoint, not ours.
2
Unique payers · 30d
Last called 2026-10-26 10:29Z
—
Upstream on-chain volume
Reported by the source catalog.
Paid to
0x9287e3102D411029025C7617d75245BFc7920f17

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

Asset 0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913

Provider
Coming soonclaradminERC-8004

Accepts

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

0.015USDC≈ $0.015 USD
on Base · exact scheme

Pay 0.015 USDC on Base to 0x9287…20f17. The signed payment is good for 5 minutes.

USD Coin contract
0x8335…02913
Payment window
5 minutes
As published
15000 smallest units
The catalog’s raw entry
[
  {
    "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
    "extra": {
      "name": "USD Coin",
      "version": "2"
    },
    "payTo": "0x9287e3102D411029025C7617d75245BFc7920f17",
    "amount": "15000",
    "scheme": "exact",
    "network": "eip155:8453",
    "maxTimeoutSeconds": 300
  }
]

Extensions

{
  "bazaar": {
    "info": {
      "input": {
        "type": "http",
        "method": "GET",
        "queryParams": {
          "doi": "10.48550/arXiv.1706.03762",
          "maxItems": "5"
        }
      },
      "output": {
        "type": "json",
        "example": {
          "seed": {
            "doi": "10.48550/arxiv.1706.03762",
            "type": "preprint",
            "year": 2017,
            "links": {
              "doi": "https://doi.org/10.48550/arxiv.1706.03762",
              "arxiv": "https://arxiv.org/abs/1706.03762",
              "openalex": "https://openalex.org/W2626778328"
            },
            "title": "Attention Is All You Need",
            "venue": "arXiv",
            "topics": [
              "Natural Language Processing Techniques",
              "Topic Modeling",
              "Speech Recognition and Synthesis"
            ],
            "arxivId": "1706.03762",
            "authors": [
              "Ashish Vaswani",
              "Noam Shazeer",
              "Niki Parmar"
            ],
            "foundIn": [
              "openalex",
              "arxiv"
            ],
            "abstract": "The dominant sequence transduction models are based on complex recurrent or convolutional neural networks...",
            "openAccess": {
              "isOa": true,
              "pdfUrl": "https://arxiv.org/pdf/1706.03762",
              "status": "green",
              "landingUrl": "https://arxiv.org/abs/1706.03762"
            },
            "openalexId": "W2626778328",
            "authorsTotal": 8,
            "citedByCount": 78297,
            "publicationDate": "2017-06-12"
          },
          "citing": {
            "count": 5,
            "total": 78297,
            "papers": [
              {
                "year": 2020,
                "title": "An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale"
              }
            ]
          },
          "errors": [],
          "related": {
            "count": 5,
            "total": 20,
            "papers": [
              {
                "year": 2018,
                "title": "BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding",
                "citedByCount": 52000
              }
            ]
          },
          "references": {
            "count": 5,
            "total": 28,
            "papers": [
              {
                "year": 1997,
                "title": "Long Short-Term Memory"
              }
            ]
          }
        }
      }
    },
    "schema": {
      "type": "object",
      "$schema": "https://json-schema.org/draft/2020-12/schema",
      "required": [
        "input"
      ],
      "properties": {
        "input": {
          "type": "object",
          "required": [
            "type",
            "method"
          ],
          "properties": {
            "type": {
              "type": "string",
              "const": "http"
            },
            "method": {
              "enum": [
                "GET"
              ],
              "type": "string"
            },
            "queryParams": {
              "type": "object",
              "properties": {
                "q": {
                  "type": "string",
                  "description": "Title or keywords; the best match is used as seed"
                },
                "doi": {
                  "type": "string",
                  "description": "DOI, e.g. 10.48550/arXiv.1706.03762"
                },
                "arxiv": {
                  "type": "string",
                  "description": "arXiv id, e.g. 1706.03762"
                },
                "maxItems": {
                  "type": "string",
                  "description": "1-15 per list, default 10 (higher values are capped)"
                },
                "openalex": {
                  "type": "string",
                  "description": "OpenAlex work id, e.g. W2626778328"
                }
              }
            }
          },
          "additionalProperties": false
        },
        "output": {
          "type": "object",
          "required": [
            "type"
          ],
          "properties": {
            "type": {
              "type": "string"
            },
            "example": {
              "type": "object"
            }
          }
        }
      }
    }
  },
  "builder-code": {
    "info": {
      "s": [
        "cdp_sdk_server"
      ]
    },
    "schema": {
      "type": "object",
      "$schema": "https://json-schema.org/draft/2020-12/schema",
      "properties": {
        "a": {
          "type": "string",
          "pattern": "^[a-z0-9_]{1,32}$",
          "description": "App builder code"
        },
        "s": {
          "type": "array",
          "items": {
            "type": "string",
            "pattern": "^[a-z0-9_]{1,32}$"
          },
          "maxItems": 11,
          "description": "Service builder codes"
        },
        "w": {
          "type": "string",
          "pattern": "^[a-z0-9_]{1,32}$",
          "description": "Wallet builder code"
        }
      },
      "additionalProperties": false
    }
  },
  "eip2612GasSponsoring": {},
  "erc20ApprovalGasSponsoring": {}
}

Provenance

Seen in the source catalog
2026-10-26 10:29Z
Last indexed by Roundhouse
2026-10-26 17:40Z
Last enriched (probe, favicon, geo)
—
x402 version
2
Max timeout
300s
Liveness probe
Not probed
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 research.genexxis.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=research.genexxis.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://research.genexxis.com/related-papers, 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.