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.
{
"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"
}
}
}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 |
|---|---|---|
firstnameOptional | string | The first name of the Nobel Prize winner to get information about |
lastnameOptional | string | The last name of the Nobel Prize winner to get information about |
categoryOptional | string | The category of the Nobel Prize to get information aboutPhysicsChemistryMedicineLiteraturePeaceEconomics |
yearOptionalPremium | integer | The 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.
{
"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.
| Field | Type | Example | Description |
|---|---|---|---|
count | number | 1 | Total number of Nobel Prize winners matching the criteria |
filteredOn | array | ["firstName","lastName","category"] | List of filter fields applied to the query results |
nobelPrizes | array[1] | Array of Nobel Prize winner records with complete biographical data | |
nobelPrizes.0.firstName | string | Albert | First name of the Nobel Prize winner |
nobelPrizes.0.lastName | string | Einstein | Last name of the Nobel Prize winner |
nobelPrizes.0.bornPremium | string | 1879-03-14 | Birth date in YYYY-MM-DD format |
nobelPrizes.0.diedPremium | string | 1955-04-18 | Death date in YYYY-MM-DD format or null |
nobelPrizes.0.countrybornPremium | string | Germany | Country name where the laureate was born |
nobelPrizes.0.countrybornCodePremium | string | DE | ISO country code of birth country (two letters) |
nobelPrizes.0.born cityPremium | string | Ulm | City or town where laureate was born |
nobelPrizes.0.diedCountryPremium | string | USA | Country name where the laureate died |
nobelPrizes.0.diedCountryCodePremium | string | US | ISO country code of death country (two letters) |
nobelPrizes.0.diedCityPremium | string | Princeton NJ | City or town where laureate died |
nobelPrizes.0.genderPremium | string | male | Gender of the Nobel Prize winner |
nobelPrizes.0.year | string | 1921 | Year the Nobel Prize was awarded |
nobelPrizes.0.category | string | Physics | Nobel Prize category (Physics, Chemistry, Medicine, Literature, Peace, Economics) |
nobelPrizes.0.motivationPremium | string | for his services to Theoretical Physics and especially for his discovery of the law of the photoelectric effect | Official Nobel Prize motivation citation explaining the award |
nobelPrizes.0.organizationPremium | string | Kaiser-Wilhelm-Institut (now Max-Planck-Institut) für Physik | Organization or institution affiliated with the laureate |
nobelPrizes.0.organizationCityPremium | string | Berlin | City where the affiliated organization is located |
nobelPrizes.0.organizationCountryPremium | string | Germany | Country 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.
| 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 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.
Related
More in Data Lookup: