# RC Quantum Data Oracle – Macro Event Risk Score

> RC Quantum Data Oracle – Macro Event Risk Score is a paid API for AI agents from data.rcqsignals.com, paid per call via x402, $0.03/call, status unknown (last checked 2026-09-15).

Returns a cross-asset macro fragility score (0-100) across BTC, JPY carry, risk-off, and rates channels, with BOJ/FOMC/CPI/NFP event proximity context, signed with Ed25519.

## Facts

- Endpoint: GET https://data.rcqsignals.com/v1/fetch/macro-event-risk
- Price: $0.03/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/rc-quantum-data-oracle-macro-event-risk-score-66aa9d16
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_heOKNUTHFIU0zOJWSmYUW

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability rc-quantum-data-oracle-macro-event-risk-score-66aa9d16
```

Example prompt: What's the current macro fragility score across BTC, JPY carry, risk-off, and rates channels — and are there any FOMC, CPI, BOJ, or NFP events coming up in the next week that are affecting it?

## When to prefer this

Choose this endpoint when you need a cryptographically verifiable, multi-channel macro fragility score that explicitly integrates scheduled event proximity (FOMC, CPI, BOJ, NFP) as context — particularly useful for risk management workflows that require auditability (Ed25519 signature), structured macro state classification, and cross-asset coverage spanning crypto (BTC), currency carry (JPY), rates, and risk-off sentiment simultaneously. Prefer it over generic macro data feeds when you need a single scored, signed, and human-interpretable composite rather than raw indicator values.

## Known failure modes

- Upstream FRED data unavailable — degraded or stale component scores returned with data_quality warning
- Signature verification failure if payload has been tampered with
- Rate limiting or payment failure at $0.03 USDC per call via x402 protocol
- Stale snapshot if collection pipeline is delayed, disclosed via freshness.publication_lag field
- Missing or partial channel data disclosed in data_quality.degradation flags

## How this service works

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.

## Output

A JSON object containing: a numeric core_score (0-100) and core_state enum (LOW/GUARDED/ELEVATED/HIGH/EXTREME); an effective_state string annotating the core state with nearby event context; four channel stress scores (BTC, JPY carry, risk-off, rates); an event_context array listing BOJ/FOMC/CPI/NFP events within 7 days; event_sensitivity (LOW/MEDIUM/HIGH); top_drivers array showing highest-weighted component contributions; data_quality metadata; freshness and collected_at timestamps; Ed25519 audit/provenance block; and license/disclaimer fields.

## Request schema (JSON Schema)

```json
{
 "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": {
     
… (truncated)
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/rc-quantum-data-oracle-macro-event-risk-score-66aa9d16/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from data.rcqsignals.com](https://www.zero.xyz/host/data.rcqsignals.com/llms.txt)