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IP Demographics Grounding Data

Demographics by IP Address

OperationalCredits 10 per callp50 560msData Lookup

Overview

IP Demographics first geolocates the IP address to a ZIP code using MaxMind GeoIP, then enriches with demographic data from the US Census American Community Survey. This provides demographic insights for personalization and analytics.

Live Test IP Demographics Grounding Data Source →

The tool

Once your client is connected to the VerveContext server, this appears in its tool list as IPDemographicsGroundingData. It is read-only and open-world — it fetches and never mutates anything on your side — so most clients call it without asking you to confirm.

Tool call
{
  "name": "IPDemographicsGroundingData",
  "arguments": {
    "ip": "173.172.81.20"
  }
}

You do not name the tool yourself; the model picks it. Asking about 173.172.81.20 in the terms this source covers is enough for it to reach for IPDemographicsGroundingData on its own — naming it explicitly also works, and is the way to force the call.

Connecting

One server URL covers every source in the catalog, including this one. Authorization is OAuth: the client opens a browser once, and there is no key to paste into a config file.

{
  "mcpServers": {
    "vervecontext": {
      "url": "https://api.vervecontext.com/v1/mcp"
    }
  }
}

Per-client setup — Claude, Cursor, VS Code, ChatGPT — is on the MCP setup page.

Arguments

These are the properties on the tool's inputSchema, so a well-behaved client validates them before the call is made. Premium arguments are accepted on every plan but only take effect on plans that include them.

ArgumentTypeDescription
ipRequiredstringIPv4 or IPv6 address
ip

What the model gets back

The result carries a structuredContent object matching the tool's declared outputSchema, so a client reads fields without parsing prose. status is "ok" and error is null on success; a null field means the value was not available for that input, not that the call failed.

Result
{
  "status": "ok",
  "error": null,
  "data": {
    "ip": "8.8.8.8",
    "location": {
      "zip": "94043",
      "city": "Mountain View",
      "state": "California",
      "stateCode": "CA",
      "country": "United States",
      "countryCode": "US",
      "latitude": 37.4056,
      "longitude": -122.0775,
      "timezone": "America/Los_Angeles"
    },
    "demographics": {
      "population": 81234,
      "medianAge": 34.5,
      "medianHouseholdIncome": 142567,
      "perCapitaIncome": 78234,
      "medianHomeValue": 1875000,
      "collegeEducatedPct": 68.3,
      "unemploymentRate": 3.2,
      "homeOwnershipRate": 45.6
    },
    "acsYear": 2022,
    "formatted": {
      "medianHouseholdIncome": "$142,567",
      "perCapitaIncome": "$78,234",
      "medianHomeValue": "$1,875,000"
    }
  }
}

Response fields

Paths are relative to data. Premium fields are absent rather than zeroed on plans that do not include them, so check for presence instead of comparing to 0.

FieldTypeExampleDescription
ipstring8.8.8.8The IP address the demographics were resolved for
locationobject{…}Where the IP address resolves to
location.zipstring94043ZIP code the IP address resolves to
location.citystringMountain ViewCity the IP address resolves to
location.statestringCaliforniaState the IP address resolves to
location.stateCodestringCATwo-letter state code
location.countrystringUnited StatesCountry the IP address resolves to
location.countryCodestringUSTwo-letter country code
location.latitudePremiumnumber37.4056Latitude coordinate
location.longitudePremiumnumber-122.0775Longitude coordinate
location.timezonestringAmerica/Los_AngelesIANA timezone of the resolved location
demographicsobject{…}Census figures for the ZIP code the IP resolves to; null outside the US
demographics.populationnumber81234Resident population of the ZIP code
demographics.medianAgenumber34.5Median age of residents in the ZIP code
demographics.medianHouseholdIncomenumber142567Median annual household income in the ZIP code
demographics.perCapitaIncomenumber78234Per capita income
demographics.medianHomeValuenumber1875000Median home value
demographics.collegeEducatedPctnumber68.3College educated percentage
demographics.unemploymentRatenumber3.2Percentage of the labour force unemployed
demographics.homeOwnershipRatePremiumnumber45.6Home ownership rate
acsYearnumber2022Year of the American Community Survey release the figures come from
formattedPremiumobject{…}Human-readable formatted currency values
formatted.medianHouseholdIncomePremiumstring$142,567Median household income formatted as currency
formatted.perCapitaIncomePremiumstring$78,234Per capita income formatted as currency
formatted.medianHomeValuePremiumstring$1,875,000Median home value formatted as currency

Why ground on it

A model can produce something that looks like this answer from its training data, and be confidently out of date or simply wrong. This source returns the current value in a shape you can check, which is the difference between an answer you can cite and one you have to hedge.

Point an evaluation at acsYear: it is the field most worth pinning a claim to, and it is either present and current or absent — never plausibly invented.

Failure modes

Errors come back as tool errors carrying a sentence the model can act on, not a bare status code. Error handling covers the full list.

StatusWhat it means
400 / 422The arguments did not validate. The message names the offending one.
401The OAuth session is invalid or expired — reconnect the server.
403Blocked by a key restriction or an IP allow-list. Never a bad identity.
404This source is not part of VerveContext. Check the catalog.
429Out of credits, or a brief rate limit. The message tells them apart.

A call costs 10 credits each time the tool actually runs; a model that reasons about the tool without calling it costs nothing.

Use cases

Personalization
Personalize content based on visitor demographics
Analytics
Enrich analytics with demographic data for visitor insights
Ad Targeting
Improve ad targeting with demographic information
Fraud Detection
Factor demographics into risk scoring models

Other ways to use IP Demographics Grounding Data

Set up IP Demographics Grounding Data on VerveContext, or reach the same source a different way. Your VerveContext account and credits work on all of them — one key, one balance.

Call it as a REST APIOne HTTPS endpoint and an x-api-key header, with SDKs for Node, Python and .NET.APIVerve →Reference →
Give it to an AI agentConnect over MCP and your agent calls it as a native tool — Claude, Cursor, ChatGPT.VerveKit →Reference →
Google Sheets or ExcelA =VERVE() formula fills a column — no script, no export, recalculates in place.VerveSheets →Reference →

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