RC Quantum Data Oracle

Cross-asset macro fragility scored 0-100 across BTC, JPY carry, risk-off and rates channels, with BOJ/FOMC/CPI/NFP proximity as context. Ed25519-signed. Descriptive, not a directional signal.

TradingLiveeip155:8453Exactvia cdp
MacroRiskBitcoinBtcJpy
Calls · 30d
1→ 0%
This endpoint's own trailing-30-day call count, as published by the upstream catalog and snapshotted daily. 28 snapshots so far.
$11.81
Verified settled volume
96 settlements proven x402 by their on-chain EIP-3009 marker.
$0.030
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 2026-08-23 01:55Z
—
Upstream on-chain volume
Reported by the source catalog.
Paid to
0x510d1c21788166b0a39f83796bf624e006849690

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.

Accepts

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

0.03USDC≈ $0.03 USD
on Base · exact scheme

Pay 0.03 USDC on Base to 0x510d…49690. The signed payment is good for 5 minutes.

USD Coin contract
0x8335…02913
Payment window
5 minutes
As published
30000 smallest units
The catalog’s raw entry
[
  {
    "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
    "extra": {
      "name": "USD Coin",
      "version": "2"
    },
    "payTo": "0x510d1c21788166b0a39f83796bf624e006849690",
    "amount": "30000",
    "scheme": "exact",
    "network": "eip155:8453",
    "maxTimeoutSeconds": 300
  }
]

Extensions

{
  "bazaar": {
    "info": {
      "input": {
        "type": "http",
        "method": "GET",
        "queryParams": {}
      },
      "output": {
        "type": "json",
        "example": {
          "as_of": "2026-08-20T00:00:00Z",
          "oracle": "rcq.macro.event_risk.v1",
          "license": "RCQ-DATA-1.0; attribution required, no redistribution",
          "product": "RCQ Macro Event Risk Surface",
          "version": "v1.1",
          "channels": {
            "rates_stress": 31.48,
            "btc_fragility": 59.62,
            "jpy_carry_stress": 23.2,
            "cross_asset_risk_off": 57.59
          },
          "freshness": {
            "as_of": "2026-08-20T00:00:00Z",
            "scored_on": "the most recent date on which all four channels are computable",
            "collection_cadence": "every 4 hours",
            "observation_age_days": 3,
            "publication_lag_note": "USDJPY comes from the Federal Reserve H.10 release, which publishes WEEKLY, so as_of typically trails the current date. Read observation_age_days."
          },
          "core_score": 43.97,
          "core_state": "GUARDED",
          "disclaimer": "Descriptive macro-risk intelligence. Not a directional trading signal.",
          "provenance": {
            "alg": "ed25519",
            "public_key": "4bc079775b77a6498b91185f9e5fded294a58463a07c96b74a8c27b9b3f8879d"
          },
          "attribution": "This product uses the FRED API but is not endorsed or certified by the Federal Reserve Bank of St. Louis.",
          "methodology": {
            "core_version": "v1",
            "event_overlay_version": "v1.1"
          },
          "top_drivers": [
            {
              "driver": "BTC intraday-range stress",
              "channel": "btc_fragility",
              "stress_score": 89.87,
              "weighted_importance": 26.96
            }
          ],
          "collected_at": "2026-08-20T04:23:00.000Z",
          "data_quality": {
            "stale": false,
            "status": "GOOD",
            "degraded_channels": [],
            "missing_components": [],
            "expected_components": 9,
            "available_components": 9
          },
          "event_context": [],
          "effective_state": "GUARDED",
          "event_sensitivity": "LOW"
        }
      }
    },
    "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",
              "properties": {}
            }
          },
          "additionalProperties": false
        },
        "output": {
          "type": "object",
          "required": [
            "type"
          ],
          "properties": {
            "type": {
              "type": "string"
            },
            "example": {
              "type": "object",
              "properties": {
                "as_of": {
                  "type": "string",
                  "format": "date-time"
                },
                "audit": {
                  "type": "object",
                  "description": "Validation provenance for the frozen study"
                },
                "oracle": {
                  "type": "string"
                },
                "license": {
                  "type": "string"
                },
                "product": {
                  "type": "string"
                },
                "version": {
                  "type": "string"
                },
                "channels": {
                  "type": "object",
                  "description": "Four frozen channel stress scores, 0-100"
                },
                "freshness": {
                  "type": "object",
                  "description": "Observation age, collection cadence and the upstream publication-lag disclosure"
                },
                "core_score": {
                  "type": "number",
                  "maximum": 100,
                  "minimum": 0
                },
                "core_state": {
                  "enum": [
                    "LOW",
                    "GUARDED",
                    "ELEVATED",
                    "HIGH",
                    "EXTREME"
                  ],
                  "type": "string"
                },
                "disclaimer": {
                  "type": "string"
                },
                "provenance": {
                  "type": "object"
                },
                "attribution": {
                  "type": "string",
                  "description": "FRED attribution notice"
                },
                "methodology": {
                  "type": "object"
                },
                "top_drivers": {
                  "type": "array",
                  "description": "Highest weighted component contributions"
                },
                "collected_at": {
                  "type": "string",
                  "format": "date-time",
                  "description": "When this snapshot was computed, as distinct from the observation date"
                },
                "data_quality": {
                  "type": "object",
                  "description": "Component availability, degradation and staleness"
                },
                "event_context": {
                  "type": "array",
                  "description": "Tracked BOJ/FOMC/CPI/NFP events within 7 days"
                },
                "effective_state": {
                  "type": "string",
                  "description": "Core state annotated with event context; the numeric score is unchanged"
                },
                "event_sensitivity": {
                  "enum": [
                    "LOW",
                    "MEDIUM",
                    "HIGH"
                  ],
                  "type": "string"
                }
              }
            }
          }
        }
      }
    }
  }
}

Provenance

Seen in the source catalog
2026-08-23 01:55Z
Last indexed by Roundhouse
2026-09-22 01:40Z
Last enriched (probe, favicon, geo)
2026-09-23 20:45Z
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. 28 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 RC Quantum Data Oracle 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=RC%20Quantum%20Data%20Oracle'
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://data.rcqsignals.com/v1/fetch/macro-event-risk, 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.