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US Demographic Intelligence
x402
US Demographic Intelligence is a paid API for AI agents from agent-vending-production.up.railway.app, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-11).
Query U.S. demographic, economic, education, labor, housing, and population statistics by geography using Census ACS data, with support for snapshots, comparisons, trends, and metric catalogs.
Price / call$0.01
Success—
StatusUnknown
How this service works
Pay-per-call machine utilities for autonomous agents.
Output
Returns structured JSON containing normalized Census ACS estimates for the requested metrics and geography, including margins of error, trend data across years when requested, side-by-side comparisons between geographies, methodology notes, ACS release metadata, and source attribution. Metric values are normalized and human-readable with confidence intervals.
Example use cases
County poverty rate comparison
“Compare poverty rates and median household income between Alameda County, California and Fulton County, Georgia using the 2023 ACS data.”
City population trend analysis
“Show me the population trend for Phoenix, Arizona over the last 5 years using ACS 5-year estimates — I want to see how it's changed year over year.”
State education attainment snapshot
“Pull a snapshot of education attainment metrics for Massachusetts — specifically bachelor's degree and graduate degree rates — from the 2023 ACS 5-year release.”
Technical details
Endpoint
POSThttps://agent-vending-production.up.railway.app/v1/us-demographics?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need structured U.S. Census ACS demographic, economic, housing, or labor statistics for specific geographies — especially when you need margins of error, multi-year trends, or geographic comparisons in a single normalized JSON response. Prefer this over raw Census API access when you want pre-normalized, LLM-ready output with source metadata already included. Best for research, policy analysis, real estate intelligence, market sizing, and civic data workflows.
Side effects
- Unsupported geography type or misspelled place name returns an error
- Requested metric ID not found in the ACS catalog returns a validation error
- ACS data not available for requested year returns a not-found response
- Invalid mode/geography combination (e.g. compare mode with single geography) returns a schema validation error
- Rate limit or payment failure returns a 402 or 429 error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| mode | string | Query mode. |
| years | array | |
| metrics | array | Friendly metric ids (e.g. total_population, poverty_rate). |
| release | integer | ACS5 release year (e.g. 2023). |
| geography | object | Target geography for snapshot/trend (type + name; state/county as needed). |
| geographies | array | Exactly two geographies for compare mode. |
| observations | integer | |
| allow_overlapping | boolean |
Output
Schema · Response
{
"type": "json",
"example": {
"ok": true,
"mode": "snapshot",
"notice": "This product uses the Census Bureau Data API but is not endorsed or certified by the Census Bureau.",
"metrics": [
{
"moe": null,
"usable": true,
"estimate": 39242785,
"metric_id": "total_population"
}
],
"geography": {
"fips": {
"state": "06"
},
"geo_type": "state",
"display_name": "California"
},
"price_usd": 0.01,
"experiment": "LIMITED_PRODUCTION",
"product_name": "US Demographic Intelligence"
}
}Tags
x402
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