CPI Inflation Grounding DataCPI Inflation Grounding Data

OnlineCredit Usage:1 per callTool:CPIInflationGroundingData

The tool

Ground agents in verifiable BLS inflation figures across 12 categories so economic answers track official monthly data, not stale estimates.

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

Tool call
{
  "name": "CPIInflationGroundingData",
  "arguments": {}
}

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.

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

Per-client setup — Claude Desktop, 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.

ArgumentTypeExampleDescription
datestring2023-06Optional date in YYYY-MM format for historical lookup. Omit for current data.
categorystringfoodOptional category filter: all, food, housing, apparel, transportation, medical, recreation, education, gasoline, electricity

What the model gets back

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

Result
{
  "status": "ok",
  "error": null,
  "data": {
    "yearMonth": "2024-01",
    "year": 2024,
    "month": 1,
    "categories": {
      "all": {
        "index": 308.417,
        "yearOverYearChange": 3.1
      },
      "food": {
        "index": 327.891,
        "yearOverYearChange": 2.6
      },
      "housing": {
        "index": 341.256,
        "yearOverYearChange": 4.8
      },
      "transportation": {
        "index": 278.543,
        "yearOverYearChange": 1.2
      },
      "medical": {
        "index": 542.189,
        "yearOverYearChange": 3.5
      },
      "gasoline": {
        "index": 287.654,
        "yearOverYearChange": -3.2
      },
      "electricity": {
        "index": 298.123,
        "yearOverYearChange": 5.1
      }
    }
  }
}

Fields

Fields marked Premium need a paid plan. On a plan without them the key is absent rather than wrong, so a model never reasons over a substituted value.
FieldTypeExampleDescription
yearMonthstring2024-01Year and month in YYYY-MM format for the data
yearnumber2024The year of the CPI data point
monthnumber1The month (1-12) of the CPI data
categoriesobject{…}
categories.allobject{…}
categories.all.indexnumber308.417Consumer Price Index for all items
categories.all.yearOverYearChangenumber3.1Year-over-year inflation rate for all items
categories.foodobject{…}
categories.food.indexPremiumnumber327.891Consumer Price Index for food category
categories.food.yearOverYearChangePremiumnumber2.6Year-over-year inflation rate for food
categories.housingobject{…}
categories.housing.indexPremiumnumber341.256Consumer Price Index for housing category
categories.housing.yearOverYearChangePremiumnumber4.8Year-over-year inflation rate for housing
categories.transportationobject{…}
categories.transportation.indexPremiumnumber278.543Consumer Price Index for transportation category
categories.transportation.yearOverYearChangePremiumnumber1.2Year-over-year inflation rate for transportation
categories.medicalobject{…}
categories.medical.indexPremiumnumber542.189Consumer Price Index for medical care category
categories.medical.yearOverYearChangePremiumnumber3.5Year-over-year inflation rate for medical care
categories.gasolineobject{…}
categories.gasoline.indexPremiumnumber287.654Consumer Price Index for gasoline category
categories.gasoline.yearOverYearChangePremiumnumber-3.2Year-over-year inflation rate for gasoline
categories.electricityobject{…}
categories.electricity.indexPremiumnumber298.123Consumer Price Index for electricity category
categories.electricity.yearOverYearChangePremiumnumber5.1Year-over-year inflation rate for electricity

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 with 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 yearMonth: 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 with a sentence the model can act on, not a bare status code.

StatusWhat it means
400 / 422The arguments didn't validate. The message names the offending one.
401The OAuth session is invalid or expired — reconnect the server.
403Out of credits. Not a bad key — the month's allowance is spent.
404This source isn't part of VerveContext. Check the catalog.
429Brief rate limit. Retrying after a moment succeeds.

Other ways to use CPI Inflation Grounding Data

Set up CPI Inflation 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.APIVerveReference →
Give it to an AI agentConnect over MCP and your agent calls it as a native tool — Claude, Cursor, ChatGPT.VerveKitReference →
Use it in Google Sheets or ExcelA =VERVE() formula fills a column — no script, no export, recalculates in place.VerveSheetsReference →

Frequently asked questions

Do I have to tell the agent to use CPIInflationGroundingData?

No. The tool's name and description are in the model's context once the server is connected, so it selects the tool when the question calls for it. Naming it explicitly works too and is useful when you want to force the call.

Does connecting the server expose every tool at once?

Yes — one connection lists the whole VerveContext catalog. Clients with a tool budget can usually filter the list; the credit cost is per call, so an unused tool costs nothing.

What does a call cost?

1 credit each time the tool actually runs. A model that reasons about the tool without calling it costs nothing.

Is there a REST version of this?

Yes — the same source is available as a plain HTTPS endpoint on APIVerve, linked above. Same data, same credits, same account.

What's Next?

Continue your journey with these recommended resources

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