Roundhouse

agentbit.app

Analyze any text in one call: detected language (with script + confidence), readability (Flesch Reading Ease & Flesch-Kincaid grade with reading level) and full statistics — word/sentence/paragraph counts, reading time, lexical diversity. Offline, key-less, $0.002.

OtherLiveeip155:8453Exactvia cdp
https://agentbit.app/v1/content/analyze
Calls · 30d
1
This endpoint's own trailing-30-day call count, as published by the upstream catalog and snapshotted daily. 4 snapshots so far.
$3.83
Verified settled volume
281 settlements proven x402 by their on-chain EIP-3009 marker.
$0.0020
Listed price
As published in the catalog. Always read the live 402 before paying.
1
Calls · 30d
Upstream's own call count for this endpoint, not ours.
1
Unique payers · 30d
Last called 2026-09-20 07:14Z
—
Upstream on-chain volume
Reported by the source catalog.
Paid to
0x4395C7e383b7e05665aad7f36ed77c01923Dd965

The wallet the 402 directs payment to. Its whole payment record — every payer, every chain — is on the merchant page.

Asset 0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913

Provider

The payTo wallet does not resolve to a registered ERC-8004 agent. That is not a verdict on the service — most of the catalog is unregistered.

Live 402 challenge

Captured by the enrichment pass, not read just now. Prices can change — always read the 402 the endpoint answers with.

{
  "error": "PAYMENT-SIGNATURE header is required",
  "accepts": [
    {
      "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
      "extra": {
        "name": "USD Coin",
        "version": "2"
      },
      "payTo": "0x4395C7e383b7e05665aad7f36ed77c01923Dd965",
      "amount": "2000",
      "scheme": "exact",
      "network": "eip155:8453",
      "mimeType": "application/json",
      "resource": "https://agentbit.app/v1/content/analyze",
      "description": "Analyze any text in one call: detected language (with script + confidence), readability (Flesch Reading Ease & Flesch-Kincaid grade with reading level) and full statistics — word/sentence/paragraph counts, reading time, lexical diversity. Offline, key-less, $0.002.",
      "maxTimeoutSeconds": 300
    },
    {
      "asset": "0x3c499c542cEF5E3811e1192ce70d8cC03d5c3359",
      "extra": {
        "name": "USD Coin",
        "version": "2"
      },
      "payTo": "0x4395C7e383b7e05665aad7f36ed77c01923Dd965",
      "amount": "2000",
      "scheme": "exact",
      "network": "eip155:137",
      "mimeType": "application/json",
      "resource": "https://agentbit.app/v1/content/analyze",
      "description": "Analyze any text in one call: detected language (with script + confidence), readability (Flesch Reading Ease & Flesch-Kincaid grade with reading level) and full statistics — word/sentence/paragraph counts, reading time, lexical diversity. Offline, key-less, $0.002.",
      "maxTimeoutSeconds": 300
    },
    {
      "asset": "0xaf88d065e77c8cC2239327C5EDb3A432268e5831",
      "extra": {
        "name": "USD Coin",
        "version": "2"
      },
      "payTo": "0x4395C7e383b7e05665aad7f36ed77c01923Dd965",
      "amount": "2000",
      "scheme": "exact",
      "network": "eip155:42161",
      "mimeType": "application/json",
      "resource": "https://agentbit.app/v1/content/analyze",
      "description": "Analyze any text in one call: detected language (with script + confidence), readability (Flesch Reading Ease & Flesch-Kincaid grade with reading level) and full statistics — word/sentence/paragraph counts, reading time, lexical diversity. Offline, key-less, $0.002.",
      "maxTimeoutSeconds": 300
    },
    {
      "asset": "EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v",
      "extra": {
        "feePayer": "BENrLoUbndxoNMUS5JXApGMtNykLjFXXixMtpDwDR9SP"
      },
      "payTo": "566SN4N4q1dAjSXTf6Ru9FGY7iD1Sj6n3QmGCEigBfYd",
      "amount": "2000",
      "scheme": "exact",
      "network": "solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp",
      "mimeType": "application/json",
      "resource": "https://agentbit.app/v1/content/analyze",
      "description": "Analyze any text in one call: detected language (with script + confidence), readability (Flesch Reading Ease & Flesch-Kincaid grade with reading level) and full statistics — word/sentence/paragraph counts, reading time, lexical diversity. Offline, key-less, $0.002.",
      "maxTimeoutSeconds": 300
    },
    {
      "asset": "0x79A02482A880bCE3F13e09Da970dC34db4CD24d1",
      "extra": {
        "name": "USDC",
        "version": "2"
      },
      "payTo": "0x4395C7e383b7e05665aad7f36ed77c01923Dd965",
      "amount": "2000",
      "scheme": "exact",
      "network": "eip155:480",
      "mimeType": "application/json",
      "resource": "https://agentbit.app/v1/content/analyze",
      "description": "Analyze any text in one call: detected language (with script + confidence), readability (Flesch Reading Ease & Flesch-Kincaid grade with reading level) and full statistics — word/sentence/paragraph counts, reading time, lexical diversity. Offline, key-less, $0.002.",
      "maxTimeoutSeconds": 300
    }
  ],
  "resource": {
    "url": "https://agentbit.app/v1/content/analyze",
    "mimeType": "application/json",
    "description": "Analyze any text in one call: detected language (with script + confidence), readability (Flesch Reading Ease & Flesch-Kincaid grade with reading level) and full statistics — word/sentence/paragraph counts, reading time, lexical diversity. Offline, key-less, $0.002."
  },
  "extensions": {
    "bazaar": {
      "info": {
        "input": {
          "body": {
            "text": "The quick brown fox jumps over the lazy dog. It was a bright cold day in April, and the clocks were striking thirteen."
          },
          "type": "http",
          "method": "POST",
          "bodyType": "json"
        },
        "errors": [
          {
            "code": "PAYMENT_REQUIRED",
            "status": 402,
            "retryable": true,
            "description": "Missing or invalid payment — retry with a valid PAYMENT-SIGNATURE header"
          },
          {
            "code": "VALIDATION_ERROR",
            "status": 422,
            "retryable": false,
            "description": "Request body does not match the input schema"
          },
          {
            "code": "RATE_LIMITED",
            "status": 429,
            "retryable": true,
            "description": "Too many requests from this client"
          },
          {
            "code": "UPSTREAM_TIMEOUT",
            "status": 502,
            "retryable": true,
            "description": "Upstream data source unavailable — safe to retry"
          }
        ],
        "output": {
          "type": "json",
          "example": {}
        },
        "pricing": {
          "model": "per-call",
          "amount": 0.002,
          "currency": "USDC",
          "quoteHint": "Send your wallet address in an X-BUYER-WALLET header on the unpaid request to receive your personalized (volume-discounted) quote.",
          "firstCallFree": true,
          "volumeDiscounts": [
            {
              "percent": 10,
              "minCalls30d": 100
            },
            {
              "percent": 20,
              "minCalls30d": 1000
            }
          ]
        },
        "networks": [
          "eip155:8453",
          "eip155:137",
          "eip155:42161",
          "solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp",
          "eip155:480"
        ],
        "provider": {
          "name": "AgentBIT",
          "tags": [
            "x402",
            "agentbit",
            "content",
            "text",
            "media",
            "analyze"
          ],
          "docsUrl": "https://agentbit.app/llms.txt",
          "website": "https://agentbit.app",
          "category": "DATA_ENRICHMENT",
          "description": "Analyze any text in one call: detected language (with script + confidence), readability (Flesch Reading Ease & Flesch-Kincaid grade with reading level) and full statistics — word/sentence/paragraph counts, reading time, lexical diversity. Offline, key-less, $0.002."
        },
        "description": "Content intelligence for agents, computed offline (no external API, nothing leaves AgentBIT): detect the language and writing script with a confidence score; score readability with the Flesch Reading Ease and Flesch-Kincaid grade formulas plus a plain reading-level label; and get a full statistics block — characters, words, sentences, paragraphs, unique words, lexical diversity, average word and sentence length, and estimated reading time. Agents use it to gate, route or annotate text (e.g. skip an expensive LLM call on trivial input, flag hard-to-read copy, pick a summarizer) before spending elsewhere. Cheap by design to win on volume.",
        "reliability": {
          "measuredAt": "2026-09-20T07:36:59+00:00",
          "sampleSize": 1,
          "windowDays": 30,
          "p50LatencyMs": 2,
          "p95LatencyMs": 2,
          "successRatePercent": 100
        }
      },
      "schema": {
        "type": "object",
        "$schema": "https://json-schema.org/draft/2020-12/schema",
        "required": [
          "input"
        ],
        "properties": {
          "input": {
            "type": "object",
            "required": [
              "type",
              "method",
              "bodyType",
              "body"
            ],
            "properties": {
              "body": {
                "type": "object",
                "required": [
                  "text"
                ],
                "properties": {
                  "text": {
                    "type": "string",
                    "description": "The text to analyze (up to 100k characters)"
                  }
                },
                "description": "Text Analyze (Language & Readability) input. Analyze any text in one call: detected language (with script + confidence), readability (Flesch Reading Ease & Flesch-Kincaid grade with reading level) and full statistics — word/sentence/paragraph counts, reading time, lexical diversity. Offline, key-less, $0.002."
              },
              "type": {
                "type": "string",
                "const": "http"
              },
              "method": {
                "enum": [
                  "POST",
                  "PUT",
                  "PATCH"
                ],
                "type": "string"
              },
              "headers": {
                "type": "object",
                "additionalProperties": {
                  "type": "string"
                }
              },
              "bodyType": {
                "enum": [
                  "json",
                  "form-data",
                  "text"
                ],
                "type": "string"
              },
              "queryParams": {
                "type": "object",
                "additionalProperties": {
                  "type": "string"
                }
              }
            },
            "additionalProperties": false
          },
          "errors": {
            "type": "array",
            "items": {
              "type": "object",
              "required": [
                "status",
                "code"
              ],
              "properties": {
                "code": {
                  "type": "string"
                },
                "status": {
                  "type": "integer"
                },
                "retryable": {
                  "type": "boolean"
                },
                "description": {
                  "type": "string"
                }
              }
            }
          },
          "output": {
            "type": "object",
            "required": [
              "type"
            ],
            "properties": {
              "type": {
                "type": "string"
              },
              "example": {
                "type": "object"
              }
            }
          },
          "pricing": {
            "type": "object",
            "properties": {
              "model": {
                "type": "string"
              },
              "amount": {
                "type": [
                  "number",
                  "null"
                ]
              },
              "currency": {
                "type": "string"
              },
              "maxAmount": {
                "type": "number"
              },
              "quoteHint": {
                "type": "string"
              },
              "firstCallFree": {
                "type": "boolean"
              },
              "volumeDiscounts": {
                "type": "array",
                "items": {
                  "type": "object",
                  "required": [
                    "minCalls30d",
                    "percent"
                  ],
                  "properties": {
                    "percent": {
                      "type": "number"
                    },
                    "minCalls30d": {
                      "type": "integer"
                    }
                  }
                }
              }
            }
          },
          "networks": {
            "type": "array",
            "items": {
              "type": "string"
            }
          },
          "provider": {
            "type": "object",
            "required": [
              "name",
              "category"
            ],
            "properties": {
              "name": {
                "type": "string"
              },
              "tags": {
                "type": "array",
                "items": {
                  "type": "string"
                }
              },
              "docsUrl": {
                "type": "string"
              },
              "website": {
                "type": "string"
              },
              "category": {
                "enum": [
                  "FINANCIAL_ANALYSIS",
                  "DATA_ENRICHMENT",
                  "INFRASTRUCTURE",
                  "WEB_SEARCH_RESEARCH",
                  "SOCIAL_INTELLIGENCE",
                  "PREDICTION_MARKETS",
                  "CREATIVE"
                ],
                "type": "string"
              },
              "description": {
                "type": "string"
              }
            }
          },
          "description": {
            "type": "string"
          },
          "reliability": {
            "type": "object",
            "required": [
              "successRatePercent",
              "sampleSize",
              "windowDays"
            ],
            "properties": {
              "measuredAt": {
                "type": "string"
              },
              "sampleSize": {
                "type": "integer"
              },
              "windowDays": {
                "type": "integer"
              },
              "p50LatencyMs": {
                "type": [
                  "integer",
                  "null"
                ]
              },
              "p95LatencyMs": {
                "type": [
                  "integer",
                  "null"
                ]
              },
              "successRatePercent": {
                "type": "number"
              }
            }
          }
        }
      },
      "resource": "https://agentbit.app/v1/content/analyze"
    }
  },
  "x402Version": 2
}

Accepts

The payment requirements as published to the catalog. Read the live 402 before paying — a price here is a claim, not a quote.

0.002USDC≈ $0.002 USD
on Base · exact scheme

Pay 0.002 USDC on Base to 0x4395…Dd965. The signed payment is good for 5 minutes.

Paid to
0x4395…Dd965
USD Coin contract
0x8335…02913
Payment window
5 minutes
As published
2000 smallest units
Buys
Analyze any text in one call: detected language (with script + confidence), readability (Flesch Reading Ease & Flesch-Kincaid grade with reading level) and full statistics — word/sentence/paragraph counts, reading time, lexical diversity. Offline, key-less, $0.002.
Returns
application/json
2000units
on Polygon · exact scheme

That figure is in the token’s smallest units. Roundhouse does not hold this contract’s decimals, so it is shown as published rather than converted.

Paid to
0x4395…Dd965
Token contract
0x3c49…c3359
Payment window
5 minutes
Buys
Analyze any text in one call: detected language (with script + confidence), readability (Flesch Reading Ease & Flesch-Kincaid grade with reading level) and full statistics — word/sentence/paragraph counts, reading time, lexical diversity. Offline, key-less, $0.002.
Returns
application/json
2000units
on Arbitrum · exact scheme

That figure is in the token’s smallest units. Roundhouse does not hold this contract’s decimals, so it is shown as published rather than converted.

Paid to
0x4395…Dd965
Token contract
0xaf88…e5831
Payment window
5 minutes
Buys
Analyze any text in one call: detected language (with script + confidence), readability (Flesch Reading Ease & Flesch-Kincaid grade with reading level) and full statistics — word/sentence/paragraph counts, reading time, lexical diversity. Offline, key-less, $0.002.
Returns
application/json
2000units
on solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp · exact scheme

That figure is in the token’s smallest units. Roundhouse does not hold this contract’s decimals, so it is shown as published rather than converted.

Paid to
566SN4…gBfYd
Token contract
EPjFWd…TDt1v
Payment window
5 minutes
Buys
Analyze any text in one call: detected language (with script + confidence), readability (Flesch Reading Ease & Flesch-Kincaid grade with reading level) and full statistics — word/sentence/paragraph counts, reading time, lexical diversity. Offline, key-less, $0.002.
Returns
application/json
2000units
on eip155:480 · exact scheme

That figure is in the token’s smallest units. Roundhouse does not hold this contract’s decimals, so it is shown as published rather than converted.

Paid to
0x4395…Dd965
Token contract
0x79A0…D24d1
Payment window
5 minutes
Buys
Analyze any text in one call: detected language (with script + confidence), readability (Flesch Reading Ease & Flesch-Kincaid grade with reading level) and full statistics — word/sentence/paragraph counts, reading time, lexical diversity. Offline, key-less, $0.002.
Returns
application/json
The catalog’s raw entry
[
  {
    "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
    "extra": {
      "name": "USD Coin",
      "version": "2"
    },
    "payTo": "0x4395C7e383b7e05665aad7f36ed77c01923Dd965",
    "amount": "2000",
    "scheme": "exact",
    "network": "eip155:8453",
    "mimeType": "application/json",
    "resource": "https://agentbit.app/v1/content/analyze",
    "description": "Analyze any text in one call: detected language (with script + confidence), readability (Flesch Reading Ease & Flesch-Kincaid grade with reading level) and full statistics — word/sentence/paragraph counts, reading time, lexical diversity. Offline, key-less, $0.002.",
    "maxTimeoutSeconds": 300
  },
  {
    "asset": "0x3c499c542cEF5E3811e1192ce70d8cC03d5c3359",
    "extra": {
      "name": "USD Coin",
      "version": "2"
    },
    "payTo": "0x4395C7e383b7e05665aad7f36ed77c01923Dd965",
    "amount": "2000",
    "scheme": "exact",
    "network": "eip155:137",
    "mimeType": "application/json",
    "resource": "https://agentbit.app/v1/content/analyze",
    "description": "Analyze any text in one call: detected language (with script + confidence), readability (Flesch Reading Ease & Flesch-Kincaid grade with reading level) and full statistics — word/sentence/paragraph counts, reading time, lexical diversity. Offline, key-less, $0.002.",
    "maxTimeoutSeconds": 300
  },
  {
    "asset": "0xaf88d065e77c8cC2239327C5EDb3A432268e5831",
    "extra": {
      "name": "USD Coin",
      "version": "2"
    },
    "payTo": "0x4395C7e383b7e05665aad7f36ed77c01923Dd965",
    "amount": "2000",
    "scheme": "exact",
    "network": "eip155:42161",
    "mimeType": "application/json",
    "resource": "https://agentbit.app/v1/content/analyze",
    "description": "Analyze any text in one call: detected language (with script + confidence), readability (Flesch Reading Ease & Flesch-Kincaid grade with reading level) and full statistics — word/sentence/paragraph counts, reading time, lexical diversity. Offline, key-less, $0.002.",
    "maxTimeoutSeconds": 300
  },
  {
    "asset": "EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v",
    "extra": {
      "feePayer": "BENrLoUbndxoNMUS5JXApGMtNykLjFXXixMtpDwDR9SP"
    },
    "payTo": "566SN4N4q1dAjSXTf6Ru9FGY7iD1Sj6n3QmGCEigBfYd",
    "amount": "2000",
    "scheme": "exact",
    "network": "solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp",
    "mimeType": "application/json",
    "resource": "https://agentbit.app/v1/content/analyze",
    "description": "Analyze any text in one call: detected language (with script + confidence), readability (Flesch Reading Ease & Flesch-Kincaid grade with reading level) and full statistics — word/sentence/paragraph counts, reading time, lexical diversity. Offline, key-less, $0.002.",
    "maxTimeoutSeconds": 300
  },
  {
    "asset": "0x79A02482A880bCE3F13e09Da970dC34db4CD24d1",
    "extra": {
      "name": "USDC",
      "version": "2"
    },
    "payTo": "0x4395C7e383b7e05665aad7f36ed77c01923Dd965",
    "amount": "2000",
    "scheme": "exact",
    "network": "eip155:480",
    "mimeType": "application/json",
    "resource": "https://agentbit.app/v1/content/analyze",
    "description": "Analyze any text in one call: detected language (with script + confidence), readability (Flesch Reading Ease & Flesch-Kincaid grade with reading level) and full statistics — word/sentence/paragraph counts, reading time, lexical diversity. Offline, key-less, $0.002.",
    "maxTimeoutSeconds": 300
  }
]

Extensions

{
  "bazaar": {
    "info": {
      "input": {
        "body": {
          "text": "The quick brown fox jumps over the lazy dog. It was a bright cold day in April, and the clocks were striking thirteen."
        },
        "type": "http",
        "method": "POST",
        "bodyType": "json"
      },
      "errors": [
        {
          "code": "PAYMENT_REQUIRED",
          "status": 402,
          "retryable": true,
          "description": "Missing or invalid payment — retry with a valid PAYMENT-SIGNATURE header"
        },
        {
          "code": "VALIDATION_ERROR",
          "status": 422,
          "retryable": false,
          "description": "Request body does not match the input schema"
        },
        {
          "code": "RATE_LIMITED",
          "status": 429,
          "retryable": true,
          "description": "Too many requests from this client"
        },
        {
          "code": "UPSTREAM_TIMEOUT",
          "status": 502,
          "retryable": true,
          "description": "Upstream data source unavailable — safe to retry"
        }
      ],
      "output": {
        "type": "json",
        "example": {}
      },
      "pricing": {
        "model": "per-call",
        "amount": 0.002,
        "currency": "USDC",
        "quoteHint": "Send your wallet address in an X-BUYER-WALLET header on the unpaid request to receive your personalized (volume-discounted) quote.",
        "firstCallFree": true,
        "volumeDiscounts": [
          {
            "percent": 10,
            "minCalls30d": 100
          },
          {
            "percent": 20,
            "minCalls30d": 1000
          }
        ]
      },
      "networks": [
        "eip155:8453",
        "eip155:137",
        "eip155:42161",
        "solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp",
        "eip155:480"
      ],
      "provider": {
        "name": "AgentBIT",
        "tags": [
          "x402",
          "agentbit",
          "content",
          "text",
          "media",
          "analyze"
        ],
        "docsUrl": "https://agentbit.app/llms.txt",
        "website": "https://agentbit.app",
        "category": "DATA_ENRICHMENT",
        "description": "Analyze any text in one call: detected language (with script + confidence), readability (Flesch Reading Ease & Flesch-Kincaid grade with reading level) and full statistics — word/sentence/paragraph counts, reading time, lexical diversity. Offline, key-less, $0.002."
      },
      "description": "Content intelligence for agents, computed offline (no external API, nothing leaves AgentBIT): detect the language and writing script with a confidence score; score readability with the Flesch Reading Ease and Flesch-Kincaid grade formulas plus a plain reading-level label; and get a full statistics block — characters, words, sentences, paragraphs, unique words, lexical diversity, average word and sentence length, and estimated reading time. Agents use it to gate, route or annotate text (e.g. skip an expensive LLM call on trivial input, flag hard-to-read copy, pick a summarizer) before spending elsewhere. Cheap by design to win on volume.",
      "reliability": {
        "measuredAt": "2026-09-20T07:14:09+00:00",
        "sampleSize": 1,
        "windowDays": 30,
        "p50LatencyMs": 2,
        "p95LatencyMs": 2,
        "successRatePercent": 100
      }
    },
    "schema": {
      "type": "object",
      "$schema": "https://json-schema.org/draft/2020-12/schema",
      "required": [
        "input"
      ],
      "properties": {
        "input": {
          "type": "object",
          "required": [
            "type",
            "method",
            "bodyType",
            "body"
          ],
          "properties": {
            "body": {
              "type": "object",
              "required": [
                "text"
              ],
              "properties": {
                "text": {
                  "type": "string",
                  "description": "The text to analyze (up to 100k characters)"
                }
              },
              "description": "Text Analyze (Language & Readability) input. Analyze any text in one call: detected language (with script + confidence), readability (Flesch Reading Ease & Flesch-Kincaid grade with reading level) and full statistics — word/sentence/paragraph counts, reading time, lexical diversity. Offline, key-less, $0.002."
            },
            "type": {
              "type": "string",
              "const": "http"
            },
            "method": {
              "enum": [
                "POST",
                "PUT",
                "PATCH"
              ],
              "type": "string"
            },
            "headers": {
              "type": "object",
              "additionalProperties": {
                "type": "string"
              }
            },
            "bodyType": {
              "enum": [
                "json",
                "form-data",
                "text"
              ],
              "type": "string"
            },
            "queryParams": {
              "type": "object",
              "additionalProperties": {
                "type": "string"
              }
            }
          },
          "additionalProperties": false
        },
        "errors": {
          "type": "array",
          "items": {
            "type": "object",
            "required": [
              "status",
              "code"
            ],
            "properties": {
              "code": {
                "type": "string"
              },
              "status": {
                "type": "integer"
              },
              "retryable": {
                "type": "boolean"
              },
              "description": {
                "type": "string"
              }
            }
          }
        },
        "output": {
          "type": "object",
          "required": [
            "type"
          ],
          "properties": {
            "type": {
              "type": "string"
            },
            "example": {
              "type": "object"
            }
          }
        },
        "pricing": {
          "type": "object",
          "properties": {
            "model": {
              "type": "string"
            },
            "amount": {
              "type": [
                "number",
                "null"
              ]
            },
            "currency": {
              "type": "string"
            },
            "maxAmount": {
              "type": "number"
            },
            "quoteHint": {
              "type": "string"
            },
            "firstCallFree": {
              "type": "boolean"
            },
            "volumeDiscounts": {
              "type": "array",
              "items": {
                "type": "object",
                "required": [
                  "minCalls30d",
                  "percent"
                ],
                "properties": {
                  "percent": {
                    "type": "number"
                  },
                  "minCalls30d": {
                    "type": "integer"
                  }
                }
              }
            }
          }
        },
        "networks": {
          "type": "array",
          "items": {
            "type": "string"
          }
        },
        "provider": {
          "type": "object",
          "required": [
            "name",
            "category"
          ],
          "properties": {
            "name": {
              "type": "string"
            },
            "tags": {
              "type": "array",
              "items": {
                "type": "string"
              }
            },
            "docsUrl": {
              "type": "string"
            },
            "website": {
              "type": "string"
            },
            "category": {
              "enum": [
                "FINANCIAL_ANALYSIS",
                "DATA_ENRICHMENT",
                "INFRASTRUCTURE",
                "WEB_SEARCH_RESEARCH",
                "SOCIAL_INTELLIGENCE",
                "PREDICTION_MARKETS",
                "CREATIVE"
              ],
              "type": "string"
            },
            "description": {
              "type": "string"
            }
          }
        },
        "description": {
          "type": "string"
        },
        "reliability": {
          "type": "object",
          "required": [
            "successRatePercent",
            "sampleSize",
            "windowDays"
          ],
          "properties": {
            "measuredAt": {
              "type": "string"
            },
            "sampleSize": {
              "type": "integer"
            },
            "windowDays": {
              "type": "integer"
            },
            "p50LatencyMs": {
              "type": [
                "integer",
                "null"
              ]
            },
            "p95LatencyMs": {
              "type": [
                "integer",
                "null"
              ]
            },
            "successRatePercent": {
              "type": "number"
            }
          }
        }
      }
    },
    "resource": "https://agentbit.app/v1/content/analyze"
  }
}

Provenance

Seen in the source catalog
2026-09-20 07:14Z
Last indexed by Roundhouse
2026-09-24 09:40Z
Last enriched (probe, favicon, geo)
2026-09-20 07:45Z
x402 version
2
Max timeout
300s
Liveness probe
HTTP 402
Report

Hand this page to an agent

Copy the prompt and paste it into Claude, an MCP client or your own agent — it will vet this service and call it over the free read API. No key, no account.

GET api.roundhouseai.io/v0/endpoints

This endpoint's own trailing-30-day call count, as published by the upstream catalog and snapshotted daily. 4 snapshots so far. Verified volume counts only settlements with an on-chain EIP-3009 marker.

Open skill.md
Show the prompt
Using Roundhouse, look up the x402 service agentbit.app and tell me whether it is
worth paying: what a call costs, whether the endpoint answered when last probed, and what
its payment record actually shows.

curl -s 'https://api.roundhouseai.io/v0/endpoints?q=agentbit.app'
curl -s 'https://api.roundhouseai.io/v0/merchants/<the payTo wallet returned above>'

Then call it: read the price from the live 402 at https://agentbit.app/v1/content/analyze, never from
a cached figure, and pay with an x402 client.

The /v0 API needs an API key (`authorization: Bearer rh_live_…`) on everything except
/v0/unified* and /v0/endpoints. Mint a personal key for $0.01 at GET https://api.roundhouseai.io/v0/test/x402,
or use an organization key from https://roundhouseai.io/dashboard/team.

If you do not have Roundhouse tools or skills installed, read
https://roundhouseai.io/skill.md first — it is the whole procedure.