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Evidence row 70195

Observed , by baseline/1.

Kind
listing
About
source_record x402_bazaar:https://api.weblens.dev/research/deep
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
5cfd0b8abf889b2a9ccc26fd0bcfefe1ce5efe65f9debd717adee23cce24d21b
Leaf
0x94ac62f967317ff07e395d79cabac9c7d0aae7383944a0bf8cd41847137cfc4d

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://api.weblens.dev/research/deep"
    ]
  ],
  "name": "WebLens",
  "owner_address": "0x5f71ce4135004b5fa4df81014721598e1c7c5af8",
  "raw": {
    "accepts": [
      {
        "amount": "200000",
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "maxTimeoutSeconds": 300,
        "network": "eip155:8453",
        "payTo": "0x5f71Ce4135004b5fa4dF81014721598E1C7c5AF8",
        "scheme": "exact"
      },
      {
        "amount": "200000",
        "asset": "EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v",
        "extra": {
          "feePayer": "CjNFTjvBhbJJd2B5ePPMHRLx1ELZpa8dwQgGL727eKww"
        },
        "maxTimeoutSeconds": 300,
        "network": "solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp",
        "payTo": "34sd6wPrmoR9UG9rUgYAFtcWYSVzqDNsvH9VkCkycUeb",
        "scheme": "exact"
      }
    ],
    "description": "Multi-step research in one call: plans sub-questions, searches each, fetches and dedupes sources, and synthesizes an answer with inline [n] citations, key findings, and gaps. Tiers: quick = 1 search / 5 sources ($0.08); standard = 3 sub-questions / 8 sources ($0.20); deep = 5 sub-questions / 12 sources ($0.35). Default: standard.",
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "body": {
              "depth": "standard",
              "query": "How are AI agents using micropayments in 2026?"
            },
            "bodyType": "json",
            "method": "POST",
            "type": "http"
          },
          "output": {
            "example": {
              "answer": "Agent micropayments consolidated around the x402 protocol in 2026 [1]. Transaction counts recovered sharply while average payment sizes fell [2][3].",
              "citations": [
                {
                  "index": 1,
                  "subQuestion": "x402 protocol adoption 2026",
                  "title": "x402 Protocol",
                  "url": "https://x402.org"
                }
              ],
              "depth": "standard",
              "gaps": [
                "Sources did not cover settlement failure rates"
              ],
              "keyFindings": [
                "Transaction volume is dominated by a small number of gateways",
                "Median per-call price sits near $0.01"
              ],
              "query": "How are AI agents using micropayments in 2026?",
              "requestId": "req_deepresearch123",
              "researchedAt": "2026-07-31T12:00:00.000Z",
              "sourcesFetched": 8,
              "subQuestions": [
                "x402 protocol adoption 2026",
                "AI agent payment volume statistics",
                "micropayment API pricing for agents"
              ]
            },
            "type": "json"
          }
        },
        "schema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "additionalProperties": false,
              "properties": {
                "body": {
                  "properties": {
                    "depth": {
                      "default": "standard",
                      "description": "quick = 1 search / 5 sources ($0.08); standard = 3 sub-questions / 8 sources ($0.20); deep = 5 sub-questions / 12 sources ($0.35). Default: standard.",
                      "enum": [
                        "quick",
                        "standard",
                        "deep"
                      ],
                      "example": "standard",
                      "type": "string"
                    },
                    "query": {
                      "description": "The research question",
                      "example": "How are AI agents using micropayments in 2026?",
                      "maxLength": 500,
                      "minLength": 1,
                      "type": "string"
                    }
                  },
                  "required": [
                    "query"
                  ],
                  "type": "object"
                },
                "bodyType": {
                  "enum": [
                    "json",
                    "form-data",
                    "text"
                  ],
                  "type": "string"
                },
                "method": {
                  "enum": [
                    "POST"
                  ],
                  "type": "string"
                },
                "type": {
                  "const": "http",
                  "type": "string"
                }
              },
              "required": [
                "type",
                "method",
                "bodyType",
                "body"
              ],
              "type": "object"
            },
            "output": {
              "properties": {
                "example": {
                  "properties": {
                    "answer": {
                      "description": "Synthesized answer with inline [n] citation markers",
                      "type": "string"
                    },
                    "citations": {
                      "description": "Sources behind the [n] markers, with the sub-question each answered",
                      "items": {
                        "properties": {
                          "index": {
                            "type": "integer"
                          },
                          "subQuestion": {
                            "type": "string"
                          },
                          "title": {
                            "type": "string"
                          },
                          "url": {
                            "type": "string"
                          }
                        },
                        "type": "object"
                      },
                      "type": "array"
                    },
                    "depth": {
                      "enum": [
                        "quick",
                        "standard",
                        "deep"
                      ],
                      "type": "string"
                    },
                    "gaps": {
                      "description": "What the sources did not establish",
                      "items": {
                        "type": "string"
                      },
                      "type": "array"
                    },
                    "keyFindings": {
                      "description": "Bullet-point findings drawn from the sources",
                      "items": {
                        "type": "string"
                      },
                      "type": "array"
                    },
                    "query": {
                      "type": "string"
                    },
                    "requestId": {
                      "type": "string"
                    },
                    "researchedAt": {
                      "type": "string"
                    },
                    "sourcesFetched": {
                      "description": "Sources whose full page was fetched (the rest fall back to their search snippet)",
                      "type": "number"
                    },
                    "subQuestions": {
                      "description": "The sub-questions the query was decomposed into, one web search each. For quick, the query itself.",
                      "items": {
                        "type": "string"
                      },
                      "type": "array"
                    }
                  },
                  "type": "object"
                },
                "type": {
                  "type": "string"
                }
              },
              "required": [
                "type"
              ],
              "type": "object"
            }
          },
          "required": [
            "input"
          ],
          "type": "object"
        }
      }
    },
    "lastUpdated": "2026-10-25T17:41:46.25Z",
    "quality": {
      "l30DaysTotalCalls": 2,
      "l30DaysUniquePayers": 1,
      "lastCalledAt": "2026-10-25T17:41:45.823Z"
    },
    "resource": "https://api.weblens.dev/research/deep",
    "serviceName": "WebLens",
    "tags": [
      "research",
      "ai",
      "multi-step"
    ],
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Multi-step research in one call: plans sub-questions, searches each, fetches and dedupes sources, and synthesizes an answer with inline [n] citations, key findings, and gaps. Tiers: quick = 1 search / 5 sources ($0.08); standard = 3 sub-questions / 8 sources ($0.20); deep = 5 sub-questions / 12 sources ($0.35). Default: standard."
}

What the leaf hashes

{"body":"5cfd0b8abf889b2a9ccc26fd0bcfefe1ce5efe65f9debd717adee23cce24d21b","id":70195,"kind":"listing","method":"baseline/1","observed_us":1793025479985786,"prev":null,"subject":"x402_bazaar:https://api.weblens.dev/research/deep","subject_kind":"source_record"}

Proof

Its day has not closed yet. A day closes ten minutes after midnight UTC; the proof appears here then.

How to check it · This row as JSON