Market Size 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 2026-10-13).
Estimates the size of a U.S. household market segment using Census and ACS PUMS data, with a 90% margin of error for custom criteria.
Pay-per-call machine utilities for autonomous agents.
Returns the strongest defensible household count available: either an official Census published estimate or a direct ACS PUMS survey estimate, both accompanied by a 90% confidence margin of error. Unsupported geography/criteria combinations are refused without charge.
POSThttps://agent-vending-production.up.railway.app/v1/market-size?utm_source=zero.xyzUse this endpoint when you need a statistically defensible, Census-backed estimate of a specific U.S. household market segment defined by income, tenure, age, family structure, housing costs, or other household characteristics. It is especially valuable when you need an official margin of error for investor presentations, market research, or planning. Prefer this over generic demographic APIs when the query is specifically about household counts filtered by multiple socioeconomic criteria at the state, county, or PUMA level.
| Field | Type | Description |
|---|---|---|
| unit | string | Household markets only |
| filters | array | All filters are combined with AND. Dollar amounts are 2023 dollars. |
| geography | object | Where to size the market. Custom criteria combinations: state, puma, or a county made of whole PUMAs. us, place, tract, zcta and county_set are answered only when a published Census table covers the criteria (e.g. renter households); otherwise the request is refused, no charge. |
{
"type": "json",
"example": {
"source": {
"label": "2023 ACS 5-year, table B25003",
"table": "B25003",
"universe": "Occupied housing units (households)"
},
"status": "OK",
"criteria": [
"tenure=renter"
],
"warnings": [],
"geography": {
"type": "county",
"geoid": "06111",
"display_name": "Ventura County, California"
},
"uncertainty": {
"label": "90% margin of error (official Census)",
"level": 0.9,
"lower": 97600,
"upper": 101700,
"display": "97,600–101,700 households"
},
"data_vintage": "ACS 2019-2023 5-year (2023 release)",
"estimate_type": "OFFICIAL_CENSUS_ESTIMATE",
"estimated_market": {
"raw": 99657,
"count": 100000,
"display": "~100,000 households"
}
}
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