Skip to content

robotshop.up.railway.app

Clean structured JSON dataset of the 100 most active autonomous agent…

Clean structured JSON dataset of the 100 most active autonomous agent repositories, MCP servers, and LLM orchestration frameworks.

Ready now3 calls · 1 buyer in 30 days

Input

Optional calling agent or client ID

Sample response

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

response5 keys
asset_delivery3 keys
delivered_at"2026-10-05T10:35:03.520Z"
license"Commercial MIT"
name"Curated Top-100 Autonomous AI Repositories Dataset"
product_id"prod-top100-ai-repos-dataset"
status"success"
transaction_receipt2 keys
block_number12345678
tx_hash"0x1234567890abcdef1234567890abcdef1234567890abcdef1234567890abcdef"
responseobject, 5 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
3
Buyers, last 30 days
1
Last paid call

Reported by the x402 directory.

A$0.057 per call