x402 List

x402 Protocol Service Directory

Insider Radar — Paper-Trading Lab Telemetry

Data PAYMENT-READY

payment-ready until 2026-08-20

Live telemetry from a paper-trading research lab running 780+ bots across Kalshi, Polymarket, crypto and equities: leaderboard, signals, alerts, calibration, cross-venue divergences, exposure crowding, optimizer status. Every response carries stale/sample honesty flags. $0.01-$0.02 USDC per request on Solana mainnet. Not investment advice.

Pay from $0.01 to $0.02 per request in USDC on Base / Solana, settled onchain via the x402 protocol, no signup, no API key needed.

listed 2026-08-13 · no on-chain settlement recorded yet

BASE URL https://whodeployed.wtf WEBSITE https://whodeployed.wtf ENDPOINTS 7 NETWORK Base / Solana ASSET USDC MEMBER SINCE 2026-08-13 MONITORED SINCE 2026-08-13

ASSESSMENT

updated 2h ago

Evidence-backed signals, not a single score. Click any chip for the proof. Measured values stay read-only; unknown is honest.

reliability 100%
uptime 24h
-
uptime 7d
-
uptime 30d
-
uptime 90d
-
response p95
170ms
avg response
170ms
total checks
1

Measured on the unpaid 402 handshake, not the paid call. A service can 402 correctly and still fail after payment.

compliance A (14/14)

14 of 14 x402 conformance checks pass. Full checklist below.

jump to compliance checklist

price $0.01 to $0.02 (p53 in Data)
price (min)
$0.01
price (max)
$0.02
category percentile (min)
p53 in Data
category percentile (max)
p39 in Data
endpoints / prices
7 / 2
model
tiered
stability
100%
risk clean

No deterministic risk flag. Risk fires only on an exact blocklist match, or a reserved-brand name with a mismatched verified payTo. Never from low uptime, a high price, or a model guess.

domain age
3d
registrar
Name.com, Inc.
hosting
custom
domain created
2026-08-09

Identity facts, not a risk score.

traction $0.00 30d · 0 buyers
volume 30d
$0.00
buyers 30d
0
settlements 30d
0
first settlement
---
last settlement
---
top buyer share
-
trend 7d vs 30d
-
networks
eip155:8453, solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdpKuc147dw2N9d
volume all-time
$0
settlements all-time
0
median settlement 30d
-
max settlement 30d
-
settled via
-

Conservative undercount: only USDC settlements via facilitators we measure are counted. A measured floor, not an estimate.

Top buyer share is a concentration signal, not part of the ranking score.

WHAT IT DOES

ai-derived

No AI synthesis has been produced for this service yet.

ENDPOINTS

Service endpoints with HTTP method, path, description, pricing, and network
METHOD PATH DESCRIPTION PRICE NETWORK ASSET 402 CHANNEL
GET /v1/alerts $0.02 Base/Solana USDC header
GET /v1/calibration $0.01 Base/Solana USDC header
GET /v1/crowding $0.02 Base/Solana USDC header
GET /v1/divergences $0.02 Base/Solana USDC header
GET /v1/leaderboard $0.01 Base/Solana USDC header
GET /v1/optimizer $0.01 Base/Solana USDC header
GET /v1/signals $0.02 Base/Solana USDC header
7 endpoints

REQUEST / RESPONSE EXAMPLE

An unpaid request to GET /v1/alerts returns HTTP 402 with the payment terms. Settle onchain via your facilitator, then retry with the X-Payment header.

// request
curl -i 'https://whodeployed.wtf/v1/alerts'
// 402 response (captured by monitor) · 7 payloads · click to expand
[
  {
    "error": "Payment required",
    "accepts": [
      {
        "asset": "EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v",
        "extra": {
          "feePayer": "GVJJ7rdGiXr5xaYbRwRbjfaJL7fmwRygFi1H6aGqDveb"
        },
        "payTo": "8D5DSpGroX5P9v6oGHLUVLFXujp6En1zYdf5KTTQ5N8V",
        "amount": "20000",
        "scheme": "exact",
        "network": "solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp",
        "maxTimeoutSeconds": 300
      },
      {
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "payTo": "0x3a4F2eA5E1a32a1af8716eDF089b74a28a68EbdA",
        "amount": "20000",
        "scheme": "exact",
        "network": "eip155:8453",
        "maxTimeoutSeconds": 300
      }
    ],
    "resource": {
      "url": "https://whodeployed.wtf/v1/alerts",
      "mimeType": "application/json",
      "description": "Recent lab alerts (drawdowns, retirements, anomalies)",
      "serviceName": "insider-radar-agent"
    },
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "type": "http",
            "method": "GET",
            "queryParams": {
              "limit": 20
            }
          },
          "output": {
            "type": "json",
            "example": {
              "data": {},
              "stale": false,
              "sample": false,
              "product": "alerts",
              "disclaimer": "All figures are simulated paper dollars from a research lab — not investment advice, not live trading, no real positions. Ranked returns are dominated by luck until effective bet counts (eff_n), calibration and crowding say otherwise.",
              "age_seconds": 120,
              "generated_at": "2026-08-12T00:00:00+00:00"
            }
          }
        },
        "schema": {
          "type": "object",
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "required": [
            "input"
          ],
          "properties": {
            "input": {
              "type": "object",
              "required": [
                "type",
                "method"
              ],
              "properties": {
                "type": {
                  "type": "string",
                  "const": "http"
                },
                "method": {
                  "enum": [
                    "GET"
                  ],
                  "type": "string"
                },
                "queryParams": {
                  "type": "object",
                  "required": [],
                  "properties": {
                    "limit": {
                      "type": "integer",
                      "maximum": 1000,
                      "minimum": 1,
                      "description": "Optional: truncate top-level array fields in data (ranked rows, headlines, …) to at most N items."
                    }
                  }
                }
              },
              "additionalProperties": false
            },
            "output": {
              "type": "object",
              "required": [
                "type"
              ],
              "properties": {
                "type": {
                  "type": "string"
                },
                "example": {
                  "type": "object",
                  "properties": {
                    "data": {
                      "type": "object",
                      "description": "Recent lab alerts (drawdowns, retirements, anomalies)"
                    },
                    "stale": {
                      "type": "boolean"
                    },
                    "sample": {
                      "type": "boolean"
                    },
                    "product": {
                      "type": "string"
                    },
                    "disclaimer": {
                      "type": "string"
                    },
                    "age_seconds": {
                      "type": "number"
                    },
                    "generated_at": {
                      "type": "string"
                    }
                  }
                }
              }
            }
          }
        }
      }
    },
    "x402Version": 2
  },
  {
    "error": "Payment required",
    "accepts": [
      {
        "asset": "EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v",
        "extra": {
          "feePayer": "GVJJ7rdGiXr5xaYbRwRbjfaJL7fmwRygFi1H6aGqDveb"
        },
        "payTo": "8D5DSpGroX5P9v6oGHLUVLFXujp6En1zYdf5KTTQ5N8V",
        "amount": "10000",
        "scheme": "exact",
        "network": "solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp",
        "maxTimeoutSeconds": 300
      },
      {
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "payTo": "0x3a4F2eA5E1a32a1af8716eDF089b74a28a68EbdA",
        "amount": "10000",
        "scheme": "exact",
        "network": "eip155:8453",
        "maxTimeoutSeconds": 300
      }
    ],
    "resource": {
      "url": "https://whodeployed.wtf/v1/calibration",
      "mimeType": "application/json",
      "description": "Forecast calibration by venue/category — predicted vs realized",
      "serviceName": "insider-radar-agent"
    },
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "type": "http",
            "method": "GET",
            "queryParams": {
              "limit": 20
            }
          },
          "output": {
            "type": "json",
            "example": {
              "data": {},
              "stale": false,
              "sample": false,
              "product": "calibration",
              "disclaimer": "All figures are simulated paper dollars from a research lab — not investment advice, not live trading, no real positions. Ranked returns are dominated by luck until effective bet counts (eff_n), calibration and crowding say otherwise.",
              "age_seconds": 120,
              "generated_at": "2026-08-12T00:00:00+00:00"
            }
          }
        },
        "schema": {
          "type": "object",
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "required": [
            "input"
          ],
          "properties": {
            "input": {
              "type": "object",
              "required": [
                "type",
                "method"
              ],
              "properties": {
                "type": {
                  "type": "string",
                  "const": "http"
                },
                "method": {
                  "enum": [
                    "GET"
                  ],
                  "type": "string"
                },
                "queryParams": {
                  "type": "object",
                  "required": [],
                  "properties": {
                    "limit": {
                      "type": "integer",
                      "maximum": 1000,
                      "minimum": 1,
                      "description": "Optional: truncate top-level array fields in data (ranked rows, headlines, …) to at most N items."
                    }
                  }
                }
              },
              "additionalProperties": false
            },
            "output": {
              "type": "object",
              "required": [
                "type"
              ],
              "properties": {
                "type": {
                  "type": "string"
                },
                "example": {
                  "type": "object",
                  "properties": {
                    "data": {
                      "type": "object",
                      "description": "Forecast calibration by venue/category — predicted vs realized"
                    },
                    "stale": {
                      "type": "boolean"
                    },
                    "sample": {
                      "type": "boolean"
                    },
                    "product": {
                      "type": "string"
                    },
                    "disclaimer": {
                      "type": "string"
                    },
                    "age_seconds": {
                      "type": "number"
                    },
                    "generated_at": {
                      "type": "string"
                    }
                  }
                }
              }
            }
          }
        }
      }
    },
    "x402Version": 2
  },
  {
    "error": "Payment required",
    "accepts": [
      {
        "asset": "EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v",
        "extra": {
          "feePayer": "Hc3sdEAsCGQcpgfivywog9uwtk8gUBUZgsxdME1EJy88"
        },
        "payTo": "8D5DSpGroX5P9v6oGHLUVLFXujp6En1zYdf5KTTQ5N8V",
        "amount": "10000",
        "scheme": "exact",
        "network": "solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp",
        "maxTimeoutSeconds": 300
      },
      {
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "payTo": "0x3a4F2eA5E1a32a1af8716eDF089b74a28a68EbdA",
        "amount": "10000",
        "scheme": "exact",
        "network": "eip155:8453",
        "maxTimeoutSeconds": 300
      }
    ],
    "resource": {
      "url": "https://whodeployed.wtf/v1/leaderboard",
      "mimeType": "application/json",
      "description": "Ranked bot leaderboard with eff_n and the luck-ceiling honesty note",
      "serviceName": "insider-radar-agent"
    },
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "type": "http",
            "method": "GET",
            "queryParams": {
              "limit": 20
            }
          },
          "output": {
            "type": "json",
            "example": {
              "data": {},
              "stale": false,
              "sample": false,
              "product": "leaderboard",
              "disclaimer": "All figures are simulated paper dollars from a research lab — not investment advice, not live trading, no real positions. Ranked returns are dominated by luck until effective bet counts (eff_n), calibration and crowding say otherwise.",
              "age_seconds": 120,
              "generated_at": "2026-08-12T00:00:00+00:00"
            }
          }
        },
        "schema": {
          "type": "object",
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "required": [
            "input"
          ],
          "properties": {
            "input": {
              "type": "object",
              "required": [
                "type",
                "method"
              ],
              "properties": {
                "type": {
                  "type": "string",
                  "const": "http"
                },
                "method": {
                  "enum": [
                    "GET"
                  ],
                  "type": "string"
                },
                "queryParams": {
                  "type": "object",
                  "required": [],
                  "properties": {
                    "limit": {
                      "type": "integer",
                      "maximum": 1000,
                      "minimum": 1,
                      "description": "Optional: truncate top-level array fields in data (ranked rows, headlines, …) to at most N items."
                    }
                  }
                }
              },
              "additionalProperties": false
            },
            "output": {
              "type": "object",
              "required": [
                "type"
              ],
              "properties": {
                "type": {
                  "type": "string"
                },
                "example": {
                  "type": "object",
                  "properties": {
                    "data": {
                      "type": "object",
                      "description": "Ranked bot leaderboard with eff_n and the luck-ceiling honesty note"
                    },
                    "stale": {
                      "type": "boolean"
                    },
                    "sample": {
                      "type": "boolean"
                    },
                    "product": {
                      "type": "string"
                    },
                    "disclaimer": {
                      "type": "string"
                    },
                    "age_seconds": {
                      "type": "number"
                    },
                    "generated_at": {
                      "type": "string"
                    }
                  }
                }
              }
            }
          }
        }
      }
    },
    "x402Version": 2
  },
  {
    "error": "Payment required",
    "accepts": [
      {
        "asset": "EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v",
        "extra": {
          "feePayer": "Hc3sdEAsCGQcpgfivywog9uwtk8gUBUZgsxdME1EJy88"
        },
        "payTo": "8D5DSpGroX5P9v6oGHLUVLFXujp6En1zYdf5KTTQ5N8V",
        "amount": "20000",
        "scheme": "exact",
        "network": "solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp",
        "maxTimeoutSeconds": 300
      },
      {
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "payTo": "0x3a4F2eA5E1a32a1af8716eDF089b74a28a68EbdA",
        "amount": "20000",
        "scheme": "exact",
        "network": "eip155:8453",
        "maxTimeoutSeconds": 300
      }
    ],
    "resource": {
      "url": "https://whodeployed.wtf/v1/signals",
      "mimeType": "application/json",
      "description": "Current signal feed headlines from the lab's signal bus",
      "serviceName": "insider-radar-agent"
    },
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "type": "http",
            "method": "GET",
            "queryParams": {
              "limit": 20
            }
          },
          "output": {
            "type": "json",
            "example": {
              "data": {},
              "stale": false,
              "sample": false,
              "product": "signals",
              "disclaimer": "All figures are simulated paper dollars from a research lab — not investment advice, not live trading, no real positions. Ranked returns are dominated by luck until effective bet counts (eff_n), calibration and crowding say otherwise.",
              "age_seconds": 120,
              "generated_at": "2026-08-12T00:00:00+00:00"
            }
          }
        },
        "schema": {
          "type": "object",
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "required": [
            "input"
          ],
          "properties": {
            "input": {
              "type": "object",
              "required": [
                "type",
                "method"
              ],
              "properties": {
                "type": {
                  "type": "string",
                  "const": "http"
                },
                "method": {
                  "enum": [
                    "GET"
                  ],
                  "type": "string"
                },
                "queryParams": {
                  "type": "object",
                  "required": [],
                  "properties": {
                    "limit": {
                      "type": "integer",
                      "maximum": 1000,
                      "minimum": 1,
                      "description": "Optional: truncate top-level array fields in data (ranked rows, headlines, …) to at most N items."
                    }
                  }
                }
              },
              "additionalProperties": false
            },
            "output": {
              "type": "object",
              "required": [
                "type"
              ],
              "properties": {
                "type": {
                  "type": "string"
                },
                "example": {
                  "type": "object",
                  "properties": {
                    "data": {
                      "type": "object",
                      "description": "Current signal feed headlines from the lab's signal bus"
                    },
                    "stale": {
                      "type": "boolean"
                    },
                    "sample": {
                      "type": "boolean"
                    },
                    "product": {
                      "type": "string"
                    },
                    "disclaimer": {
                      "type": "string"
                    },
                    "age_seconds": {
                      "type": "number"
                    },
                    "generated_at": {
                      "type": "string"
                    }
                  }
                }
              }
            }
          }
        }
      }
    },
    "x402Version": 2
  },
  {
    "error": "Payment required",
    "accepts": [
      {
        "asset": "EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v",
        "extra": {
          "feePayer": "Hc3sdEAsCGQcpgfivywog9uwtk8gUBUZgsxdME1EJy88"
        },
        "payTo": "8D5DSpGroX5P9v6oGHLUVLFXujp6En1zYdf5KTTQ5N8V",
        "amount": "20000",
        "scheme": "exact",
        "network": "solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp",
        "maxTimeoutSeconds": 300
      },
      {
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "payTo": "0x3a4F2eA5E1a32a1af8716eDF089b74a28a68EbdA",
        "amount": "20000",
        "scheme": "exact",
        "network": "eip155:8453",
        "maxTimeoutSeconds": 300
      }
    ],
    "resource": {
      "url": "https://whodeployed.wtf/v1/divergences",
      "mimeType": "application/json",
      "description": "Cross-venue probability divergences (e.g. Kalshi vs Polymarket gaps)",
      "serviceName": "insider-radar-agent"
    },
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "type": "http",
            "method": "GET",
            "queryParams": {
              "limit": 20
            }
          },
          "output": {
            "type": "json",
            "example": {
              "data": {},
              "stale": false,
              "sample": false,
              "product": "divergences",
              "disclaimer": "All figures are simulated paper dollars from a research lab — not investment advice, not live trading, no real positions. Ranked returns are dominated by luck until effective bet counts (eff_n), calibration and crowding say otherwise.",
              "age_seconds": 120,
              "generated_at": "2026-08-12T00:00:00+00:00"
            }
          }
        },
        "schema": {
          "type": "object",
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "required": [
            "input"
          ],
          "properties": {
            "input": {
              "type": "object",
              "required": [
                "type",
                "method"
              ],
              "properties": {
                "type": {
                  "type": "string",
                  "const": "http"
                },
                "method": {
                  "enum": [
                    "GET"
                  ],
                  "type": "string"
                },
                "queryParams": {
                  "type": "object",
                  "required": [],
                  "properties": {
                    "limit": {
                      "type": "integer",
                      "maximum": 1000,
                      "minimum": 1,
                      "description": "Optional: truncate top-level array fields in data (ranked rows, headlines, …) to at most N items."
                    }
                  }
                }
              },
              "additionalProperties": false
            },
            "output": {
              "type": "object",
              "required": [
                "type"
              ],
              "properties": {
                "type": {
                  "type": "string"
                },
                "example": {
                  "type": "object",
                  "properties": {
                    "data": {
                      "type": "object",
                      "description": "Cross-venue probability divergences (e.g. Kalshi vs Polymarket gaps)"
                    },
                    "stale": {
                      "type": "boolean"
                    },
                    "sample": {
                      "type": "boolean"
                    },
                    "product": {
                      "type": "string"
                    },
                    "disclaimer": {
                      "type": "string"
                    },
                    "age_seconds": {
                      "type": "number"
                    },
                    "generated_at": {
                      "type": "string"
                    }
                  }
                }
              }
            }
          }
        }
      }
    },
    "x402Version": 2
  },
  {
    "error": "Payment required",
    "accepts": [
      {
        "asset": "EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v",
        "extra": {
          "feePayer": "GVJJ7rdGiXr5xaYbRwRbjfaJL7fmwRygFi1H6aGqDveb"
        },
        "payTo": "8D5DSpGroX5P9v6oGHLUVLFXujp6En1zYdf5KTTQ5N8V",
        "amount": "20000",
        "scheme": "exact",
        "network": "solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp",
        "maxTimeoutSeconds": 300
      },
      {
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "payTo": "0x3a4F2eA5E1a32a1af8716eDF089b74a28a68EbdA",
        "amount": "20000",
        "scheme": "exact",
        "network": "eip155:8453",
        "maxTimeoutSeconds": 300
      }
    ],
    "resource": {
      "url": "https://whodeployed.wtf/v1/crowding",
      "mimeType": "application/json",
      "description": "Exposure crowding: where the fleet's directional risk is concentrated",
      "serviceName": "insider-radar-agent"
    },
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "type": "http",
            "method": "GET",
            "queryParams": {
              "limit": 20
            }
          },
          "output": {
            "type": "json",
            "example": {
              "data": {},
              "stale": false,
              "sample": false,
              "product": "crowding",
              "disclaimer": "All figures are simulated paper dollars from a research lab — not investment advice, not live trading, no real positions. Ranked returns are dominated by luck until effective bet counts (eff_n), calibration and crowding say otherwise.",
              "age_seconds": 120,
              "generated_at": "2026-08-12T00:00:00+00:00"
            }
          }
        },
        "schema": {
          "type": "object",
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "required": [
            "input"
          ],
          "properties": {
            "input": {
              "type": "object",
              "required": [
                "type",
                "method"
              ],
              "properties": {
                "type": {
                  "type": "string",
                  "const": "http"
                },
                "method": {
                  "enum": [
                    "GET"
                  ],
                  "type": "string"
                },
                "queryParams": {
                  "type": "object",
                  "required": [],
                  "properties": {
                    "limit": {
                      "type": "integer",
                      "maximum": 1000,
                      "minimum": 1,
                      "description": "Optional: truncate top-level array fields in data (ranked rows, headlines, …) to at most N items."
                    }
                  }
                }
              },
              "additionalProperties": false
            },
            "output": {
              "type": "object",
              "required": [
                "type"
              ],
              "properties": {
                "type": {
                  "type": "string"
                },
                "example": {
                  "type": "object",
                  "properties": {
                    "data": {
                      "type": "object",
                      "description": "Exposure crowding: where the fleet's directional risk is concentrated"
                    },
                    "stale": {
                      "type": "boolean"
                    },
                    "sample": {
                      "type": "boolean"
                    },
                    "product": {
                      "type": "string"
                    },
                    "disclaimer": {
                      "type": "string"
                    },
                    "age_seconds": {
                      "type": "number"
                    },
                    "generated_at": {
                      "type": "string"
                    }
                  }
                }
              }
            }
          }
        }
      }
    },
    "x402Version": 2
  },
  {
    "error": "Payment required",
    "accepts": [
      {
        "asset": "EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v",
        "extra": {
          "feePayer": "BENrLoUbndxoNMUS5JXApGMtNykLjFXXixMtpDwDR9SP"
        },
        "payTo": "8D5DSpGroX5P9v6oGHLUVLFXujp6En1zYdf5KTTQ5N8V",
        "amount": "10000",
        "scheme": "exact",
        "network": "solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp",
        "maxTimeoutSeconds": 300
      },
      {
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "payTo": "0x3a4F2eA5E1a32a1af8716eDF089b74a28a68EbdA",
        "amount": "10000",
        "scheme": "exact",
        "network": "eip155:8453",
        "maxTimeoutSeconds": 300
      }
    ],
    "resource": {
      "url": "https://whodeployed.wtf/v1/optimizer",
      "mimeType": "application/json",
      "description": "Optimizer status and recent parameter decisions",
      "serviceName": "insider-radar-agent"
    },
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "type": "http",
            "method": "GET",
            "queryParams": {
              "limit": 20
            }
          },
          "output": {
            "type": "json",
            "example": {
              "data": {},
              "stale": false,
              "sample": false,
              "product": "optimizer",
              "disclaimer": "All figures are simulated paper dollars from a research lab — not investment advice, not live trading, no real positions. Ranked returns are dominated by luck until effective bet counts (eff_n), calibration and crowding say otherwise.",
              "age_seconds": 120,
              "generated_at": "2026-08-12T00:00:00+00:00"
            }
          }
        },
        "schema": {
          "type": "object",
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "required": [
            "input"
          ],
          "properties": {
            "input": {
              "type": "object",
              "required": [
                "type",
                "method"
              ],
              "properties": {
                "type": {
                  "type": "string",
                  "const": "http"
                },
                "method": {
                  "enum": [
                    "GET"
                  ],
                  "type": "string"
                },
                "queryParams": {
                  "type": "object",
                  "required": [],
                  "properties": {
                    "limit": {
                      "type": "integer",
                      "maximum": 1000,
                      "minimum": 1,
                      "description": "Optional: truncate top-level array fields in data (ranked rows, headlines, …) to at most N items."
                    }
                  }
                }
              },
              "additionalProperties": false
            },
            "output": {
              "type": "object",
              "required": [
                "type"
              ],
              "properties": {
                "type": {
                  "type": "string"
                },
                "example": {
                  "type": "object",
                  "properties": {
                    "data": {
                      "type": "object",
                      "description": "Optimizer status and recent parameter decisions"
                    },
                    "stale": {
                      "type": "boolean"
                    },
                    "sample": {
                      "type": "boolean"
                    },
                    "product": {
                      "type": "string"
                    },
                    "disclaimer": {
                      "type": "string"
                    },
                    "age_seconds": {
                      "type": "number"
                    },
                    "generated_at": {
                      "type": "string"
                    }
                  }
                }
              }
            }
          }
        }
      }
    },
    "x402Version": 2
  }
]

OVER TIME

All charts use the 30d selector; each series spans only the dates it has data for. Every series is also served as JSON at /api/v1/services/insider-radar-paper-trading-lab-telemetry/price, /scores, /volume and /buyers. On-chain volume and distinct buyers are measured over the service's settlement address and are a conservative undercount (only settlements that reach a measured facilitator are counted). The on-chain series roll up hourly, so the latest day can be up to about an hour behind; distinct buyers are counted per payout address, so a service that settles to more than one address is an upper bound.

UPTIME
08-13 · uptime 100.0% · 163ms avg08-1308-13
30d UPTIME 100%
RESPONSE TIME
08-13 · 163ms avg08-13 · 163ms avg08-1308-13
AVG RESP 176ms
PRICE (captured 402, USD)
building price history ($0.02)

Median across 7 endpoints. Use the selector to isolate one.

SUB-SCORES (uptime + x402 compliance)
building assessment history (1 day so far)

checklist grew 11->14 on 2026-07-28; a step here is a metric change, not a regression

VOLUME (on-chain settlement, USD)
building volume history (1 day so far)
DISTINCT BUYERS
building buyer history (1 day so far)

COMPLIANCE

14/14 checks pass · grade A

last 402 captured 2026-08-13 · last up 2026-08-13

  • 402 payload captured
  • accepts[] array present
  • payTo address recoverable
  • payTo at accepts[0].payTo (conformant shape)
  • payTo is a valid on-chain address
  • atomic price declared
  • atomic price in a sane range
  • asset (token) address declared
  • network resolves to CAIP-2
  • payment scheme declared
  • served over HTTPS
  • declares the current x402 version (2)
  • EIP-712 domain parameters present on every EVM entry
  • x402 v2 envelope delivered in the payment-required header

SITE PILLARS

  • homepage reachable
  • openapi doc
  • pricing page
  • llms.txt
  • robots.txt
  • terms page
recent checks (8) live · click to expand
TIME STATUS RESP CAUSE
● OK 264ms
● OK 108ms
● OK 148ms
● OK 185ms
● OK 126ms
● OK 122ms
● SLOW 283ms
● OK 170ms

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Insider Radar — Paper-Trading Lab Telemetry uptime on x402-list
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