mirrored listing x402 eip155:8453eip155:137eip155:42161solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp

Deep web research for AI agents — advanced search returning the highest-relevance results

Deep web research for AI agents — advanced search returning the highest-relevance results with multiple query-focused snippets per source, plus an optional LLM-generated answer grounded in the returned sources when include_answer is set. One-call research assistant for high-precision queries; news and finance topics, date and domain filters.

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Claim this listing
25000 (raw units)
price
4
calls / 30d
3
unique payers
2026-09-15
updated

Provider

websearch.use.x402atlas.com · discovered, not yet claimed by its owner

Payment (x402 accepts[])

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    "maxTimeoutSeconds": 300
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    "amount": "25000",
    "maxTimeoutSeconds": 300
  }
]

Output schema

{
  "bazaar": {
    "category": "search",
    "info": {
      "input": {
        "method": "GET",
        "queryParams": {
          "chunks_per_source": 2,
          "query": "latest developments in AI agents"
        },
        "type": "http"
      },
      "output": {
        "example": {
          "queried_at": "2026-07-01T12:00:00Z",
          "query": "latest developments in AI agents",
          "results": [
            {
              "content": "A short, relevant snippet from the page...",
              "score": 0.87,
              "title": "AI agents in 2026: what changed",
              "url": "https://example.com/ai-agents-2026"
            }
          ]
        },
        "type": "json"
      }
    },
    "schema": {
      "$schema": "https://json-schema.org/draft/2020-12/schema",
      "properties": {
        "input": {
          "additionalProperties": false,
          "properties": {
            "method": {
              "enum": [
                "GET"
              ],
              "type": "string"
            },
            "queryParams": {
              "properties": {
                "query": {
                  "description": "The search query to execute",
                  "maxLength": 1000,
                  "type": "string"
                }
              },
              "required": [
                "query"
              ],
              "type": "object"
            },
            "type": {
              "const": "http",
              "type": "string"
            }
          },
          "required": [
            "type",
            "method"
          ],
          "type": "object"
        },
        "output": {
          "properties": {
            "example": {
              "properties": {
                "answer": {
                  "description": "LLM-generated answer grounded in the results (only when include_answer was set)",
                  "type": "string"
                },
                "note": {
                  "description": "Present only on a sample response (empty/omitted query): a hint to pass a real query. The paid request ran; no upstream call was made.",
                  "type": "string"
                },
                "queried_at": {
                  "description": "Time the search was executed (UTC)",
                  "format": "date-time",
                  "type": "string"
                },
                "query": {
                  "description": "The upstream-normalized query that was executed",
                  "type": "string"
                },
                "results": {
                  "items": {
                    "properties": {
                      "content": {
                        "description": "Relevant snippet from the page",
                        "type": "string"
                      },
                      "raw_content": {
                        "description": "Cleaned full page content (only when include_raw_content was set)",
                        "type": "string"
                      },
                      "score": {
                        "description": "Relevance score",
                        "type": "number"
                      },
                      "title": {
                        "type": "string"
                      },
                      "url": {
                        "type": "string"
                      }
                    },
                    "required": [
                      "title",
                      "url",
                      "content",
                      "score"
                    ],
                    "type": "object"
                  },
                  "type": "array"
                }
              },
              "required": [
                "queried_at",
                "query",
                "results"
              ],
              "type": "object"
            },
            "type": {
              "type": "string"
            }
          },
          "required": [
            "type"
          ],
          "type": "object"
        }
      },
      "required": [
        "input"
      ],
      "type": "object"
    },
    "tags": [
      "web-search",
      "search",
      "serp",
      "web",
      "internet-search",
      "news",
      "news-search",
      "real-time",
      "rag",
      "ai-agents",
      "llm-answer",
      "deep-research",
      "research",
      "research-assistant",
      "citations",
      "grounding",
      "finance"
    ]
  }
}

Use it

curl

curl "https://websearch.use.x402atlas.com/search/advanced"
# -> 402 Payment Required, accepts[] lists how to pay
# retry with a PAYMENT-SIGNATURE (or PAYMENT header) once paid

JavaScript

const res = await fetch("https://websearch.use.x402atlas.com/search/advanced");
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://websearch.use.x402atlas.com/search/advanced")
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/459.json, and this resource appears in /discovery/resources and /discovery/search.