mirrored listing x402 eip155:8453

Extract a page's machine-readable self-description in one call: every JSON-LD block (schem

Extract a page's machine-readable self-description in one call: every JSON-LD block (schema.org), OpenGraph and Twitter Card metadata, canonical URL, title, meta description, H1, hreflang alternates and RSS/Atom feed links — parsed server-side into clean JSON. Where text extraction gives you prose, this gives you structured facts.

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10000 (raw units)
price
1
calls / 30d
1
unique payers
2026-09-06
updated

Provider

agentbit.app · discovered, not yet claimed by its owner

Payment (x402 accepts[])

[
  {
    "scheme": "exact",
    "network": "eip155:8453",
    "payTo": "0x4395C7e383b7e05665aad7f36ed77c01923Dd965",
    "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
    "amount": "10000",
    "maxTimeoutSeconds": 300
  }
]

Output schema

{
  "bazaar": {
    "info": {
      "description": "Structured-data extraction for agents that need facts, not prose. Most pages carry a machine-readable self-description that text scrapers throw away: schema.org JSON-LD (products with prices, articles with authors and dates, organizations, events, recipes, job postings), OpenGraph and Twitter Card metadata, the canonical URL, hreflang language alternates and advertised RSS/Atom feeds. This tool fetches the page (SSRF-guarded, size-capped) and returns all of it as clean JSON: up to 20 JSON-LD blocks decoded and their schema @types summarized, og:* and twitter:* maps, title, meta description, first H1, canonical, hreflang map and feed links. Use it to read product data without parsing HTML, to verify what a page claims to be before citing it, to find a site's feeds for monitoring (pairs with feed-read), or as the structured layer on top of web-extract's clean text.",
      "errors": [
        {
          "code": "PAYMENT_REQUIRED",
          "description": "Missing or invalid payment — retry with a valid PAYMENT-SIGNATURE header",
          "retryable": true,
          "status": 402
        },
        {
          "code": "VALIDATION_ERROR",
          "description": "Request body does not match the input schema",
          "retryable": false,
          "status": 422
        },
        {
          "code": "RATE_LIMITED",
          "description": "Too many requests from this client",
          "retryable": true,
          "status": 429
        },
        {
          "code": "UPSTREAM_TIMEOUT",
          "description": "Upstream data source unavailable — safe to retry",
          "retryable": true,
          "status": 502
        }
      ],
      "input": {
        "body": {
          "url": "https://agentbit.app/blog"
        },
        "bodyType": "json",
        "method": "POST",
        "type": "http"
      },
      "networks": [
        "eip155:8453"
      ],
      "output": {
        "example": {
          "canonical": "https://agentbit.app/blog",
          "counts": {
            "json_ld_blocks": 1,
            "og_tags": 2,
            "twitter_tags": 0
          },
          "description": "Real-world x402 engineering notes.",
          "feeds": null,
          "h1": "Engineering Blog",
          "hreflang": null,
          "json_ld": [
            {
              "@context": "https://schema.org",
              "@type": "TechArticle",
              "headline": "Debugging Bazaar indexing"
            }
          ],
          "open_graph": {
            "title": "Engineering Blog — AgentBIT",
            "type": "website"
          },
          "schema_types": [
            "TechArticle"
          ],
          "title": "Engineering Blog — AgentBIT",
          "twitter_card": null,
          "url": "https://agentbit.app/blog"
        },
        "type": "json"
      },
      "pricing": {
        "amount": 0.01,
        "currency": "USDC",
        "firstCallFree": true,
        "model": "per-call",
        "quoteHint": "Send your wallet address in an X-BUYER-WALLET header on the unpaid request to receive your personalized (volume-discounted) quote.",
        "volumeDiscounts": [
          {
            "minCalls30d": 100,
            "percent": 10
          },
          {
            "minCalls30d": 1000,
            "percent": 20
          }
        ]
      },
      "reliability": {
        "measuredAt": "2026-09-06T14:31:10+00:00",
        "p50LatencyMs": null,
        "p95LatencyMs": null,
        "sampleSize": 1,
        "successRatePercent": 0,
        "windowDays": 30
      }
    },
    "schema": {
      "$schema": "https://json-schema.org/draft/2020-12/schema",
      "properties": {
        "description": {
          "type": "string"
        },
        "errors": {
          "items": {
            "properties": {
              "code": {
                "type": "string"
              },
              "description": {
                "type": "string"
              },
              "retryable": {
                "type": "boolean"
              },
              "status": {
                "type": "integer"
              }
            },
            "required": [
              "status",
              "code"
            ],
            "type": "object"
          },
          "type": "array"
        },
        "input": {
          "additionalProperties": false,
          "properties": {
            "body": {
              "description": "Structured Data Extract input. Extract a page's machine-readable self-description in one call: every JSON-LD block (schema.org), OpenGraph and Twitter Card metadata, canonical URL, title, meta description, H1, hreflang alternates and RSS/Atom feed links — parsed server-side into clean JSON. Where text extraction gives you prose, this gives you structured facts.",
              "properties": {
                "url": {
                  "description": "Absolute http(s) URL of the page",
                  "type": "string"
                }
              },
              "required": [
                "url"
              ],
              "type": "object"
            },
            "bodyType": {
              "enum": [
                "json",
                "form-data",
                "text"
              ],
              "type": "string"
            },
            "headers": {
              "additionalProperties": {
                "type": "string"
              },
              "type": "object"
            },
            "method": {
              "enum": [
                "POST",
                "PUT",
                "PATCH"
              ],
              "type": "string"
            },
            "queryParams": {
              "additionalProperties": {
                "type": "string"
              },
              "type": "object"
            },
            "type": {
              "const": "http",
              "type": "string"
            }
          },
          "required": [
            "type",
            "method",
            "bodyType",
            "body"
          ],
          "type": "object"
        },
        "networks": {
          "items": {
            "type": "string"
          },
          "type": "array"
        },
        "output": {
          "properties": {
            "example": {
              "type": "object"
            },
            "type": {
              "type": "string"
            }
          },
          "required": [
            "type"
          ],
          "type": "object"
        },
        "pricing": {
          "properties": {
            "amount": {
              "type": [
                "number",
                "null"
              ]
            },
            "currency": {
              "type": "string"
            },
            "firstCallFree": {
              "type": "boolean"
            },
            "maxAmount": {
              "type": "number"
            },
            "model": {
              "type": "string"
            },
            "quoteHint": {
              "type": "string"
            },
            "volumeDiscounts": {
              "items": {
                "properties": {
                  "minCalls30d": {
                    "type": "integer"
                  },
                  "percent": {
                    "type": "number"
                  }
                },
                "required": [
                  "minCalls30d",
                  "percent"
                ],
                "type": "object"
              },
              "type": "array"
            }
          },
          "type": "object"
        },
        "reliability": {
          "properties": {
            "measuredAt": {
              "type": "string"
            },
            "p50LatencyMs": {
              "type": [
                "integer",
                "null"
              ]
            },
            "p95LatencyMs": {
              "type": [
                "integer",
                "null"
              ]
            },
            "sampleSize": {
              "type": "integer"
            },
            "successRatePercent": {
              "type": "number"
            },
            "windowDays": {
              "type": "integer"
            }
          },
          "required": [
            "successRatePercent",
            "sampleSize",
            "windowDays"
          ],
          "type": "object"
        }
      },
      "required": [
        "input"
      ],
      "type": "object"
    }
  }
}

Use it

curl

curl "https://agentbit.app/v1/web/structured"
# -> 402 Payment Required, accepts[] lists how to pay
# retry with a PAYMENT-SIGNATURE (or PAYMENT header) once paid

JavaScript

const res = await fetch("https://agentbit.app/v1/web/structured");
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://agentbit.app/v1/web/structured")
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/10986.json, and this resource appears in /discovery/resources and /discovery/search.