WE
Agent Service · x402 · early usage

Multi-step research in one call: plans sub-questions, searches each, fetches and dedupe…

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…

by api.weblens.dev · discovered, not yet claimed by its owner · updated 2026-10-13

30d calls1
30d payers1
MethodPOST
Outputjson

Mirrored from Coinbase's public x402 Bazaar. The description is the provider's own text and has not been reviewed here; the payment requirements are copied as published.

What it does

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.

Tags: research · ai · multi-step · bazaar

Call contract

Method
POST
Input
json
Output
json
Last paid call
2026-10-13
Input example from Bazaar metadata
{
  "depth": "standard",
  "query": "How are AI agents using micropayments in 2026?"
}
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"
  ]
}

Use with an agent

  1. Discover. Agents find this listing with GET https://bazaar.saylorinnovations.com/discovery/search?query=…, the MCP tool search_resources, or /discovery/resources.
  2. Inspect. Fetch /resources/57506.json for the price and payment options.
  3. Pay. Call GET https://api.weblens.dev/research/deep. The provider answers 402 with its payment requirements. An x402 client signs one of the options below and retries with PAYMENT-SIGNATURE.
  4. Execute. The provider returns 200 with the data. Agent Bazaar is not in the request path and never sees your payment.

For humans

You don't need an account or an API key; you need a wallet holding a small amount of USDC on Base, Solana, and an x402-capable client (see the examples below). Call the endpoint unpaid first to see exactly what it asks for.

Pricing & payment

Price
$0.2 / request
Protocol
x402 v2
Auth
No account or API key. Pay per request.
Networks
Base, Solana
Demand
1 calls · 1 unique payers in 30d (public x402 Bazaar data)

x402 payment requirements

SchemeNetworkAssetAmountPay toTimeout
exactBase
eip155:8453
USDC$0.20x5f71Ce4135004b5fa4dF81014721598E1C7c5AF8300s
exactSolana
solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp
USDC$0.234sd6wPrmoR9UG9rUgYAFtcWYSVzqDNsvH9VkCkycUeb300s
accepts[] (raw JSON)
[
  {
    "scheme": "exact",
    "network": "eip155:8453",
    "payTo": "0x5f71Ce4135004b5fa4dF81014721598E1C7c5AF8",
    "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
    "amount": "200000",
    "amountUsd": 0.2,
    "maxTimeoutSeconds": 300
  },
  {
    "scheme": "exact",
    "network": "solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp",
    "payTo": "34sd6wPrmoR9UG9rUgYAFtcWYSVzqDNsvH9VkCkycUeb",
    "asset": "EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v",
    "amount": "200000",
    "amountUsd": 0.2,
    "maxTimeoutSeconds": 300
  }
]

Schemas

Output schema (JSON Schema)
{
  "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"
}
Example shape — generated from the schema, not a captured live response
{
  "example": {
    "answer": "string",
    "citations": [
      {
        "index": 0,
        "subQuestion": "string",
        "title": "string",
        "url": "string"
      }
    ],
    "depth": "quick",
    "gaps": [
      "string"
    ],
    "keyFindings": [
      "string"
    ],
    "query": "string",
    "requestId": "string",
    "researchedAt": "string",
    "sourcesFetched": 0,
    "subQuestions": [
      "string"
    ]
  },
  "type": "string"
}

Examples

curl
curl "https://api.weblens.dev/research/deep"
# -> 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.weblens.dev/research/deep");
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.weblens.dev/research/deep")
if res.status_code == 402:
    accepts = res.json()["accepts"]
    # pay one of accepts[] via an x402 client, then retry with the payment header

Details

Provider
api.weblens.dev
Endpoint
https://api.weblens.dev/research/deep
Machine-readable
/resources/57506.json