Real-time web search for AI agents — search the web and get ranked SERP-style results as c

[
  {
    "scheme": "exact",
    "network": "eip155:8453",
    "payTo": "0xF752eEB75d3Bea24AA867ad93bfd8EF5a2F431B9",
    "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
    "amount": "10000",
    "maxTimeoutSeconds": 300
  },
  {
    "scheme": "exact",
    "network": "eip155:137",
    "payTo": "0xF752eEB75d3Bea24AA867ad93bfd8EF5a2F431B9",
    "asset": "0x3c499c542cEF5E3811e1192ce70d8cC03d5c3359",
    "amount": "10000",
    "maxTimeoutSeconds": 300
  },
  {
    "scheme": "exact",
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    "asset": "0xaf88d065e77c8cC2239327C5EDb3A432268e5831",
    "amount": "10000",
    "maxTimeoutSeconds": 300
  },
  {
    "scheme": "exact",
    "network": "solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp",
    "payTo": "ASt6xvRyQ7ntERsmcYVMdLqZvz1GEN8Fzexzq62tXrNQ",
    "asset": "EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v",
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]

{
  "bazaar": {
    "category": "search",
    "info": {
      "input": {
        "method": "GET",
        "queryParams": {
          "chunks_per_source": 2,
          "query": "latest developments in AI agents",
          "search_depth": "fast"
        },
        "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",
      "current-events",
      "json",
      "grounding",
      "fast-search"
    ]
  }
}

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

const res = await fetch("https://websearch.use.x402atlas.com/search");
if (res.status === 402) {
  const { accepts } = await res.json();
  // pay one of accepts[] via an x402 client, then retry with the payment header
}

import httpx
res = httpx.get("https://websearch.use.x402atlas.com/search")
if res.status_code == 402:
    accepts = res.json()["accepts"]
    # pay one of accepts[] via an x402 client, then retry with the payment header