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CRYPTYX · cryptyx.ai

CRYPTYX

Historical performance of a specific (horizon, regime_label) cell, n_prints, mean 30d forward return, hit rate, and last 5 instances. Answers "when this regime showed up before, what happened next?", analytical primitive for regime-conditional strategy backtesting. Runs across 200+ digital assets, BTC, ETH, SOL, top-cap + long-tail coverage.

Ready now1 call · 1 buyer in 30 days

Input

One of: 1d, 7d, 14d, 30d, 60d, 90d, 180d, 365d
Regime label (e.g. expansion, consolidation, deleveraging)

Sample response

Published by the provider. Your run returns a fresh response.

response8 keys
horizon"30d"
last_instances2 items
n_r30152
n_total187
oktrue
r30_hit0.612
r30_mean0.084
regime_label"expansion"
responseobject, 8 keys
Your agent can do this on its own
Add the MCP URL in Claude Code, Cursor or Codex. Your agent can run Tools within its spending limits, or ask for approval each time. Connect your agent

Connect your agent

Add one MCP URL and your agent can find and run this tool within its spending limits. Choose “Ask each time” if you want to approve every Call.

MCP URL

https://app.aecon.ai/mcp
Terminalbash
claude mcp add --transport http --scope user agentic-economy "https://app.aecon.ai/mcp"

In Claude Code, open /mcp, select agentic-economy, then choose Authenticate.

Track record

Paid calls, last 30 days
1
Buyers, last 30 days
1
Last paid call

Reported by the x402 directory.

A$0.015 per call