Does omitting max_items cost more?

No — it's the same flat 5 points whether you cap it or return the full taxonomy.

What do I do with the aliases this returns?

Feed them into Gartner market for a market's profile or Gartner market products for its ranked product list.

Do I pay for lookups that come back empty?

No. You are charged per result, so a request that finds nothing costs nothing. Testing this against a messy list is free to get wrong.

What does a lookup cost?

A flat 5 points per successful lookup, which is $5 per 1,000 requests, regardless of how much of the taxonomy comes back.

Company intelligence

Gartner Categories API — Full Market Taxonomy

This source returns the complete Gartner Peer Insights category and market taxonomy — the reference structure of how software categories nest, and the source of the market aliases that Gartner market, Gartner market products, and Gartner markets search all take as input.

Run it in the app Read the API docs

Example response

{
  "session_id": "11111111-1111-1111-1111-111111111111",
  "kind": "gartner_categories",
  "max_items": 3,
  "human": "# Gartner Peer Insights categories\n\n- **Categories returned:** 3\n- **Total markets:** 125\n- **Proxy traffic:** 30.1 KB",
  "machine": {
    "total_items": 3,
    "categories": [
      {
        "id": "1",
        "name": "Application Development",
        "alias": "application-development",
        "description": "Application Development refers to products and services that support the design, creation, deployment, and maintenance of software applications across web, mobile, desktop, and cloud environments. This category includes markets that support organizations to build scalable, secure, and user-centric applications while evolving through agile methodologies, automation, modern development practices, an",
        "market_count": 71,
        "markets": [
          {
            "id": "21",
            "name": "Observability Platforms",
            "alias": "observability-platforms",
            "url": "https://www.gartner.com/reviews/market/observability-platforms"
          },
          {
            "id": "4583",
            "name": "Enterprise Low-Code Application Platforms (Transitioning to AI-Augmented Low-Code Application Platforms)",
            "alias": "enterprise-low-code-application-platform",
            "url": "https://www.gartner.com/reviews/market/enterprise-low-code-application-platform"
          },
          {
            "id": "6460",
            "name": "Integrated Development Environment (IDE) Software",
            "alias": "integrated-development-environment-ide-software",
            "url": "https://www.gartner.com/reviews/market/integrated-development-environment-ide-software"
          }
        ]
      },
      {
        "id": "5",
        "name": "Artificial Intelligence",
        "alias": "artificial-intelligence",
        "description": "Artificial Intelligence (AI) refers to products and services that enable machines to perform tasks typically requiring human intelligence—such as learning, reasoning, problem-solving, perception, and language understanding. This category includes markets that focus on helping organizations build, deploy, and scale intelligent systems, utilizing AI across multiple industries through technologies li",
        "market_count": 27,
        "markets": [
          {
            "id": "21450",
            "name": "AI Application Development Platforms",
            "alias": "ai-application-development-platforms",
            "url": "https://www.gartner.com/reviews/market/ai-application-development-platforms"
          },
          {
            "id": "20662",
            "name": "Enterprise AI Coding Agents",
            "alias": "enterprise-ai-coding-agents",
            "url": "https://www.gartner.com/reviews/market/enterprise-ai-coding-agents"
          },
          {
            "id": "5350",
            "name": "Conversational AI Platforms",
            "alias": "conversational-ai-platforms",
            "url": "https://www.gartner.com/reviews/market/conversational-ai-platforms"
          }
        ]
      },
      {
        "id": "2",
        "name": "Cloud Computing",
        "alias": "cloud-computing",
        "description": "Cloud Computing refers to products and services that enable the delivery, management, and optimization of computing resources over the internet. This category includes markets that focus on empowering organizations to seamlessly store, migrate, manage, and optimize workloads across diverse cloud environments, including public, private, hybrid, and multi-cloud models.",
        "market_count": 27,
        "markets": [
          {
            "id": "16",
            "name": "Strategic Cloud Platform Services",
            "alias": "strategic-cloud-platform-services",
            "url": "https://www.gartner.com/reviews/market/strategic-cloud-platform-services"
          },
          {
            "id": "124",
            "name": "Backup and Data Protection Platforms",
            "alias": "backup-and-data-protection-platforms",
            "url": "https://www.gartner.com/reviews/market/backup-and-data-protection-platforms"
          },
          {
            "id": "32",
            "name": "Server Virtualization (Transitioning to Server Virtualization Platforms)",
            "alias": "server-virtualization",
            "url": "https://www.gartner.com/reviews/market/server-virtualization"
          }
        ]
      }
    ],
    "proxy_traffic_bytes": 30795
  },
  "total_points": 5
}

You send: Nothing required — an optional max_items caps the result
You get back: The full category and market taxonomy
Coverage: The full public Gartner Peer Insights category and market taxonomy.
Price: Flat 5 points per successful lookup, regardless of size — $5 per 1,000; Flat 5 points per successful lookup. A request that returns nothing is not billed.

Comparison

Ways to get this data

Three approaches teams use today, and where each one runs into trouble.

Approach	What it takes	Cost	Trade-off
Browsing the Gartner Peer Insights category menu	Click through the site's own category navigation and note down aliases	Free, and slow	Fine for finding one market, tedious for mapping the whole taxonomy
Building a scraper	Write it, host it, and repair it when the taxonomy changes	Engineering time	A maintenance commitment for a reference list that rarely changes
NeuralVerge	One request, no parameters required	Flat 5 points, misses not billed	Returns the taxonomy as Gartner structures it — a discovery tool, not a ranked or filtered view

Response

What you get back

Every field in the response shown above.

Field	Type	Description
`total_items`	number	How many top-level categories came back.
`id`	string	Gartner's internal category ID.
`name`	string	Top-level category name, e.g. "Application Development".
`alias`	string	Category alias.
`description`	string	Category description as Gartner publishes it.
`market_count`	number	How many markets nest under this category.
`markets`	array	Markets nested under that category.
`markets[].id`	string	Gartner's internal market ID.
`markets[].name`	string	Market (software category) name.
`markets[].alias`	string	Market alias, for Gartner market or Gartner market products.
`markets[].url`	string	Direct link to the market's Peer Insights page.

Integration

How to run it

The same lookup works from the app, the API, or as a tool an agent can call mid-task.

Every field is optional. max_items caps the count (1-100) — omit it for the full taxonomy at the same flat 5-point cost.

curl -X POST https://api.neuralverge.ai/functions/v1/run-gartner-categories \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{}'

Use cases

What teams use it for

Where this field shows up in an actual workflow.

Discovering market aliases

Find the exact alias a market goes by before calling Gartner market or Gartner market products.

Mapping a taxonomy to your own category list

Reconcile your internal product categories against Gartner's structure once, then keep the mapping.

Scoping a competitive research pass

Pull the full taxonomy to decide which markets are worth a deeper Gartner market products run.

Building an internal reference table

Cache the taxonomy once and reuse the aliases across every other Gartner source, instead of re-deriving them.

Coverage & limits

Coverage, freshness and limits

What this source covers, how fresh it is, and where it stops.

Coverage

The full public Gartner Peer Insights category and market taxonomy.

Freshness

Read at request time.

Handling

This source returns publicly visible category information, stamped with a session id you can trace.

What it will not do

—It returns structure and aliases, not ratings or product counts — those come from Gartner market and Gartner market products.
—The taxonomy changes as Gartner adds or restructures categories, so a cached copy can drift out of date.
—max_items caps at 100 even though the full taxonomy is larger — omit it rather than raise it past that cap.

FAQ

Questions, answered

The taxonomy is one lookup regardless of how many categories it contains, so it's billed as a single flat 5-point call rather than per record.

Related sources

Gartner market

The market profile itself — features, research, and lessons learned.

Gartner markets search

Find the market alias by keyword before you look it up.

All company intelligence

Funding data and the review platforms buyers actually read.

Try gartner categories on your own data

One request format across every source in the catalog.

Get started