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.
{
"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"
}
}
}https://api.vervecontext.com/v1/mcpPer-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.
| Argument | Type | Description |
|---|---|---|
ipRequired | string | IPv4 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.
{
"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.
| Field | Type | Example | Description |
|---|---|---|---|
ip | string | 8.8.8.8 | The IP address the demographics were resolved for |
location | object | {…} | Where the IP address resolves to |
location.zip | string | 94043 | ZIP code the IP address resolves to |
location.city | string | Mountain View | City the IP address resolves to |
location.state | string | California | State the IP address resolves to |
location.stateCode | string | CA | Two-letter state code |
location.country | string | United States | Country the IP address resolves to |
location.countryCode | string | US | Two-letter country code |
location.latitudePremium | number | 37.4056 | Latitude coordinate |
location.longitudePremium | number | -122.0775 | Longitude coordinate |
location.timezone | string | America/Los_Angeles | IANA timezone of the resolved location |
demographics | object | {…} | Census figures for the ZIP code the IP resolves to; null outside the US |
demographics.population | number | 81234 | Resident population of the ZIP code |
demographics.medianAge | number | 34.5 | Median age of residents in the ZIP code |
demographics.medianHouseholdIncome | number | 142567 | Median annual household income in the ZIP code |
demographics.perCapitaIncome | number | 78234 | Per capita income |
demographics.medianHomeValue | number | 1875000 | Median home value |
demographics.collegeEducatedPct | number | 68.3 | College educated percentage |
demographics.unemploymentRate | number | 3.2 | Percentage of the labour force unemployed |
demographics.homeOwnershipRatePremium | number | 45.6 | Home ownership rate |
acsYear | number | 2022 | Year of the American Community Survey release the figures come from |
formattedPremium | object | {…} | Human-readable formatted currency values |
formatted.medianHouseholdIncomePremium | string | $142,567 | Median household income formatted as currency |
formatted.perCapitaIncomePremium | string | $78,234 | Per capita income formatted as currency |
formatted.medianHomeValuePremium | string | $1,875,000 | Median 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.
| Status | What it means |
|---|---|
400 / 422 | The arguments did not validate. The message names the offending one. |
401 | The OAuth session is invalid or expired — reconnect the server. |
403 | Blocked by a key restriction or an IP allow-list. Never a bad identity. |
404 | This source is not part of VerveContext. Check the catalog. |
429 | Out 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.
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