ToolAssay

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

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.

Answeringour last check, 2026-09-24
1 of 1checks answered this week
647 msmedian answer time
$0.025listed price per call
$0.025price it asked us

Paid test badge: not yet. The checks above are free: we call the tool without paying and read the payment request it sends back. The Verified badge needs paid calls whose answers match the promised output, and nobody can buy a badge.

Endpoint

GET https://websearch.use.x402atlas.com/search/advanced

CategorySearch and research
Provider hostwebsearch.use.x402atlas.com
Networkseip155:137, eip155:42161, eip155:8453, solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp
Payment schemesexact
Self-reported calls, 30 days4 from 3 payers (the provider's figure, not ours)

Our checks, last 30 days

DayResultHTTPAskedTime
2026-09-24 valid payment request 402$0.025 647 ms

Example input (from the provider)

{
  "method": "GET",
  "queryParams": {
    "chunks_per_source": 2,
    "query": "latest developments in AI agents"
  },
  "type": "http"
}

Promised output schema (from the provider)

{
  "$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"
}

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