Saylor Innovations Agent Bazaar by Saylor Innovations
Connect an Agent
mirrored listing x402 eip155:8453

Smart, auto-routed research paper search

Smart, auto-routed research paper search. A broad field term is grounded against the OpenAlex taxonomy and returned as a coherent field cluster; a natural-language question runs hybrid retrieval over OpenAlex and Semantic Scholar with reciprocal rank fusion and a SPECTER2 embedding rerank. The response exposes the routing decision, and each paper carries title, authors, year, venue, citation count, DOI, and a relevance score. Keyless.

Do you run api.kadec0.xyz? This listing was mirrored from Coinbase's public Bazaar. Claim it in 30 seconds — no account required — and it becomes verified, permanently overriding the mirrored copy.

Claim this listing
20000 (raw units)
price
9
calls / 30d
2
unique payers
2026-09-08
updated

Provider

api.kadec0.xyz · discovered, not yet claimed by its owner

Payment (x402 accepts[])

[
  {
    "scheme": "exact",
    "network": "eip155:8453",
    "payTo": "0x4df66B6c140778fe0717880A7c6dDE5Ea53AcDeA",
    "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
    "amount": "20000",
    "maxTimeoutSeconds": 300
  }
]

Output schema

{
  "bazaar": {
    "info": {
      "input": {
        "method": "GET",
        "queryParams": {
          "maxItems": "15",
          "q": "does zone 2 training improve mitochondrial density in older adults"
        },
        "type": "http"
      },
      "output": {
        "example": {
          "count": 1,
          "items": [
            {
              "count": 15,
              "grounding": null,
              "mode": "hybrid",
              "query": "does zone 2 training improve mitochondrial density in older adults",
              "results": [
                {
                  "citationCount": 210,
                  "score": 0.0163,
                  "specterCosine": 0.71,
                  "title": "Exercise training and mitochondrial biogenesis...",
                  "type": "paper",
                  "year": 2019
                }
              ],
              "routing": {
                "embedded": 18,
                "fusion": "openalex-only",
                "isQuestion": true,
                "openAlexHits": 30,
                "reranked": true,
                "s2Hits": 0,
                "wordCount": 10
              },
              "type": "smart_search"
            }
          ]
        },
        "type": "json"
      }
    },
    "schema": {
      "$schema": "https://json-schema.org/draft/2020-12/schema",
      "properties": {
        "input": {
          "additionalProperties": false,
          "properties": {
            "method": {
              "enum": [
                "GET",
                "HEAD",
                "DELETE"
              ],
              "type": "string"
            },
            "queryParams": {
              "properties": {
                "maxItems": {
                  "default": "15",
                  "description": "max results (1-40)",
                  "type": "string"
                },
                "q": {
                  "description": "a field term OR a natural-language research question",
                  "type": "string"
                },
                "rerank": {
                  "default": "true",
                  "description": "apply the SPECTER2 semantic rerank on the hybrid path",
                  "type": "string"
                }
              },
              "required": [
                "q"
              ],
              "type": "object"
            },
            "type": {
              "const": "http",
              "type": "string"
            }
          },
          "required": [
            "type",
            "method"
          ],
          "type": "object"
        },
        "output": {
          "properties": {
            "example": {
              "type": "object"
            },
            "type": {
              "type": "string"
            }
          },
          "required": [
            "type"
          ],
          "type": "object"
        }
      },
      "required": [
        "input"
      ],
      "type": "object"
    }
  }
}

Use it

curl

curl "https://api.kadec0.xyz/v1/smart-search"
# -> 402 Payment Required, accepts[] lists how to pay
# retry with a PAYMENT-SIGNATURE (or PAYMENT header) once paid

JavaScript

const res = await fetch("https://api.kadec0.xyz/v1/smart-search");
if (res.status === 402) {
  const { accepts } = await res.json();
  // pay one of accepts[] via an x402 client, then retry with the payment header
}

Python

import httpx
res = httpx.get("https://api.kadec0.xyz/v1/smart-search")
if res.status_code == 402:
    accepts = res.json()["accepts"]
    # pay one of accepts[] via an x402 client, then retry with the payment header

Machine-readable

Everything on this page is also available as clean JSON at /resources/348.json, and this resource appears in /discovery/resources and /discovery/search.