Building Permits by State for a Year: Units and Value by Structure Size (Building Permits Survey)

uspermits/get-state-permits

Annual Building Permits Survey estimates for every U.S. state in one year (2000 to 2025): for 1-unit, 2-unit, 3-4 unit and 5-or-more-unit structures, the buildings, housing units and valuation in dollars authorized by permits, plus the same counts for permit offices that actually reported. One row per state, with region and division codes. U.S. federal statistics data, served by Eden Engine; not endorsed or certified by the data publisher.

activeper callv1

Price

$0.0026 per call

You pay the price shown. If a call turns out to cost more than its quote, you pay the actual price, capped at twice the quote. No monthly minimum. Top-ups start at $0.50.

Data source

U.S. Census Bureau

Source: U.S. Census Bureau, Building Permits Survey, annual estimates (www2.census.gov/econ/bps). Served by Eden Engine; not endorsed or certified by the Census Bureau.

Use it

Five steps: search, inspect, learn, run, settle. No per-tool setup; your agent reaches this tool through the meta-tools it already has.

Connect once and your AI can find and run this tool, and any other it needs.

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agent

// 1. search: find the tool
omnial_search({ query: "what you need" })

// 2. inspect: price and input schema
omnial_inspect({ tool: "uspermits/get-state-permits" })

// 3. learn: read the usage guide at runtime
omnial_learn({ tool: "uspermits/get-state-permits" })

// 4. run: price the exact call first, then run it
omnial_execute({ tool: "uspermits/get-state-permits", input: { /* see input_schema */ }, dry_run: true })
omnial_execute({ tool: "uspermits/get-state-permits", input: { /* ... */ } })

// 5. settle: the call is charged when it finishes, nothing to do

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Pricing

Every charge this tool can incur.

Charge	Price
Per call	$0.0026

Updated: Oct 25, 2026

Input and output schemas

Input schema

input_schema.json

{
  "type": "object",
  "required": [
    "year"
  ],
  "properties": {
    "year": {
      "type": "string",
      "pattern": "^(20[01][0-9]|202[0-5])$",
      "description": "Calendar year, 2000 to 2025, for example 2023. The newest year may hold partial-year figures."
    }
  },
  "additionalProperties": false
}

Output schema

output_schema.json

{
  "type": "object",
  "required": [
    "columns",
    "rowCount",
    "truncated",
    "droppedLines",
    "bytesRead",
    "consumedBytes",
    "rows"
  ],
  "properties": {
    "rows": {
      "type": "array",
      "items": {
        "type": "array",
        "items": {
          "type": [
            "string",
            "number",
            "null"
          ]
        }
      },
      "description": "One array per row, aligned with columns. Counts are numbers (null when blank); codes, FIPS and names are strings."
    },
    "columns": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "survey_date, state_fips, [county_fips,] region_code, division_code, name, then 24 counts: one_unit, two_unit, three_four_unit and five_plus_unit, each as _bldgs, _units, _value_usd, followed by the same twelve prefixed reported_."
    },
    "rowCount": {
      "type": "integer",
      "description": "Rows in this answer."
    },
    "bytesRead": {
      "type": "integer",
      "description": "Size of the text the file server returned, in bytes."
    },
    "truncated": {
      "type": "boolean",
      "description": "True when the body held more than 500 rows; the rest are not returned."
    },
    "droppedLines": {
      "type": "integer",
      "description": "Lines dropped because they were fragments of a byte window."
    },
    "consumedBytes": {
      "type": "integer",
      "description": "Bytes of the returned text up to the end of the last row returned; the next window starts at this offset plus the window's own start."
    }
  },
  "additionalProperties": false
}