How a crypto strategy did in different market conditions: its daily…

How a crypto strategy did in different market conditions: its daily results split into up vs down days and calm vs volatile days for Bitcoin (public price data), over a past window. Historical only; general information, not advice.

Ready now1 call · 1 buyer in 30 days

Input

Sample response

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

response2 keys

id"CRY-1d-012"

regimes2 keys

btc_down_days{ days, hit_rate, return_pct }3 keys

btc_up_days{ days, hit_rate, return_pct }3 keys

responseobject, 2 keys

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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: 2 weeks ago

Reported by the x402 directory.

A$0.043 per call