# Cryptyx AI Market Pulse Hero Timeline

> Cryptyx AI Market Pulse Hero Timeline is a paid API for AI agents from cryptyx.ai, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-14).

Returns a bundled BTC price, macro regime history, and high-conviction signal density timeseries in a single call for cycle orientation

## Facts

- Endpoint: GET https://cryptyx.ai/api/market-pulse/hero-timeline
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-14
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/cryptyx-ai-market-pulse-hero-timeline-3d03fcc4
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_IhoA8XsbhPpGAPZAZnrCM

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 cryptyx-ai-market-pulse-hero-timeline-3d03fcc4
```

Example prompt: Pull up the Cryptyx market pulse hero timeline for BTC — I want 365 days of price history with macro regime and signal density layer, using a 30-day horizon, so I can see where we are in the cycle.

## When to prefer this

Use this endpoint when you need a comprehensive BTC cycle orientation in a single call and want to avoid making three separate history queries for price, regime, and signal density. Prefer this over individual endpoints when building dashboards, briefing agents on current market cycle context, or when you need to correlate regime state with signal density over a configurable historical window.

## Known failure modes

- days parameter out of range (1-1900) returns validation error
- invalid layer value (not 'core' or 'signals') returns error
- invalid horizon value returns error
- payment not included or insufficient (x402 protocol) returns 402 Payment Required
- service unavailable returns 5xx error
- stale or missing data for recent days may result in partial timeseries

## How this service works

BTC price + macro regime history + high-conviction signal density timeseries in a single call (1-1900 days). Bundled dashboard hero for orienting on "where are we in the cycle" — configurable horizon (1d-365d) and layer (core/signals). One call replaces 3 separate history queries.

## Output

A timeseries dataset spanning up to 1,900 days containing: daily BTC price, macro regime classifications and confidence, days-in-regime streaks, and (when layer=signals) high-conviction signal density per day — all in a single bundled response that replaces three separate history queries.

## 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": {
      "days": {
       "type": "number",
       "description": "Lookback window in days (1-1900, default 365)"
      },
      "layer": {
       "type": "string",
       "description": "core (price + regime) or signals (adds density). Default: core"
      },
      "horizon": {
       "type": "string",
       "description": "Regime horizon: 1d, 7d, 14d, 30d, 60d, 90d, 180d, 365d (default 30d)"
      }
     }
    }
   },
   "additionalProperties": false
  },
  "output": {
   "type": "object",
   "required": [
    "type"
   ],
   "properties": {
    "type": {
     "type": "string"
    },
    "example": {
     "type": "object"
    }
   }
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/cryptyx-ai-market-pulse-hero-timeline-3d03fcc4/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from cryptyx.ai](https://www.zero.xyz/host/cryptyx.ai/llms.txt)