Neighborhood Intelligence · agent-vending-production.up.railway.app
Get a machine-ready demographic, economic and housing profile
Get a machine-ready demographic, economic and housing profile for a U.S. geography, with Census uncertainty and peer benchmarks.
Input
Sample response
Published by the provider. Your run returns a fresh response.
response7 keys
data_vintage3 keys
dataset"ACS 5-Year"
label"ACS 5-Year 2019-2023"
release_year2023
geography4 keys
census_geography"ZIP Code Tabulation Area (ZCTA5)"
geo_type"zcta"
geoid"91362"
name"ZCTA5 91362"
product"neighborhood_intelligence"
profile1 item
0{ estimate, metric, percentiles, … }5 keys
provenance1 item
0{ dataset, provider, release_year }3 keys
status"OK"
summary1 key
notable_characteristics[…]1 item
responseobject, 7 keysYour 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/mcpTerminalbash
In Claude Code, open /mcp, select agentic-economy, then choose Authenticate.
Track record
- Paid calls, last 30 days
- 4
- Buyers, last 30 days
- 2
- Last paid call
Reported by the x402 directory.