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Nobel Prize Grounding Data for AI Agents

Get Nobel Prize information

OperationalCredits 2 per callp50 695msData Lookup

Overview

Queries match laureates using first name, last name, or one of six official categories: Physics, Chemistry, Medicine, Literature, Peace, and Economics. The response delivers matching laureate names, prize years, and matching result counts. Paid plans add filtering by award year as well as award motivations, institutional affiliations, gender, and birth or death dates.

Live Test Nobel Prize Grounding Data for AI Agents Source →

The tool

Once your client is connected to the VerveContext server, this appears in its tool list as NobelPrizeGroundingDataforAIAgents. 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": "NobelPrizeGroundingDataforAIAgents",
  "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.

{
  "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
firstnameOptionalstringThe first name of the Nobel Prize winner to get information about
lastnameOptionalstringThe last name of the Nobel Prize winner to get information about
categoryOptionalstringThe category of the Nobel Prize to get information about
PhysicsChemistryMedicineLiteraturePeaceEconomics
yearOptionalPremiumintegerThe year of the Nobel Prize to get information about
range 1901–2030

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": {
    "count": 1,
    "filteredOn": [
      "firstName",
      "lastName",
      "category",
      "year"
    ],
    "nobelPrizes": [
      {
        "firstName": "Albert",
        "lastName": "Einstein",
        "born": "1879-03-14",
        "died": "1955-04-18",
        "countryborn": "Germany",
        "countrybornCode": "DE",
        "born city": "Ulm",
        "diedCountry": "USA",
        "diedCountryCode": "US",
        "diedCity": "Princeton NJ",
        "gender": "male",
        "year": "1921",
        "category": "Physics",
        "motivation": "for his services to Theoretical Physics and especially for his discovery of the law of the photoelectric effect",
        "organization": "Kaiser-Wilhelm-Institut (now Max-Planck-Institut) für Physik",
        "organizationCity": "Berlin",
        "organizationCountry": "Germany"
      }
    ]
  }
}

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
countnumber1Total number of Nobel Prize winners matching the criteria
filteredOnarray["firstName","lastName","category"]List of filter fields applied to the query results
nobelPrizesarray[1]Array of Nobel Prize winner records with complete biographical data
nobelPrizes.0.firstNamestringAlbertFirst name of the Nobel Prize winner
nobelPrizes.0.lastNamestringEinsteinLast name of the Nobel Prize winner
nobelPrizes.0.bornPremiumstring1879-03-14Birth date in YYYY-MM-DD format
nobelPrizes.0.diedPremiumstring1955-04-18Death date in YYYY-MM-DD format or null
nobelPrizes.0.countrybornPremiumstringGermanyCountry name where the laureate was born
nobelPrizes.0.countrybornCodePremiumstringDEISO country code of birth country (two letters)
nobelPrizes.0.born cityPremiumstringUlmCity or town where laureate was born
nobelPrizes.0.diedCountryPremiumstringUSACountry name where the laureate died
nobelPrizes.0.diedCountryCodePremiumstringUSISO country code of death country (two letters)
nobelPrizes.0.diedCityPremiumstringPrinceton NJCity or town where laureate died
nobelPrizes.0.genderPremiumstringmaleGender of the Nobel Prize winner
nobelPrizes.0.yearstring1921Year the Nobel Prize was awarded
nobelPrizes.0.categorystringPhysicsNobel Prize category (Physics, Chemistry, Medicine, Literature, Peace, Economics)
nobelPrizes.0.motivationPremiumstringfor his services to Theoretical Physics and especially for his discovery of the law of the photoelectric effectOfficial Nobel Prize motivation citation explaining the award
nobelPrizes.0.organizationPremiumstringKaiser-Wilhelm-Institut (now Max-Planck-Institut) für PhysikOrganization or institution affiliated with the laureate
nobelPrizes.0.organizationCityPremiumstringBerlinCity where the affiliated organization is located
nobelPrizes.0.organizationCountryPremiumstringGermanyCountry where the affiliated organization is located

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 count: 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 2 credits each time the tool actually runs; a model that reasons about the tool without calling it costs nothing.

Use cases

Academic Trivia Games
Trivia apps query specific prize categories to generate questions and verify player answers against historical winners and award years.
Science Journalism Portals
When breaking news covers major scientific breakthroughs, newsrooms search laureate records by name to confirm previous award years and official citations.
University Faculty Profiles
To display faculty honors accurately, university web editors cross-reference researcher names against prize records to list confirmed Nobel awards.
Reference Library Catalogs
Catalogers query the database by category to build curated reading lists and link literature prize winners to archive collections.

Other ways to use Nobel Prize Grounding Data for AI Agents

Set up Nobel Prize Grounding Data for AI Agents 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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