Company intelligence
Gartner Market Products API — Ranked & Peer-Segmented
Send a market alias and this source returns the ranked products inside it, with vendor and ratings — sortable by review count or average rating, and filterable to reviewed_last_12_months for currency.
Example response
{
"session_id": "11111111-1111-1111-1111-111111111111",
"kind": "gartner_market_products",
"market": "data-loss-prevention",
"max_items": 2,
"sort": "ratingsCount_desc",
"reviewed_last_12_months": false,
"company_size": [],
"industry": [],
"region": [],
"partial": false,
"human": "# Gartner Peer Insights market products\n\n- **Market:** data-loss-prevention\n- **Sort:** ratingsCount_desc\n- **Max items:** 2\n- **Records returned:** 2\n- **Proxy traffic:** 10.9 KB",
"machine": {
"total_items": 2,
"market_product_count": 93,
"items": [
{
"id": "11424",
"name": "Forcepoint DLP",
"alias": "forcepoint-dlp",
"average_rating": 4.4,
"review_count": 611,
"rating_distribution": {
"star_1": 1,
"star_2": 8,
"star_3": 48,
"star_4": 282,
"star_5": 272
},
"image": "https://www.gartner.com/pi/vendorimages/forcepoint_data-loss-prevention_1675723137690.png",
"description": "The Forcepoint DLP solution prevents exfiltration of sensitive data and delivers unified policy management with centralized control of all channels or security vectors from a single policy. This allows visibility and control of your data everywhere your people work and anywhere your data resides. Forcepoint simplifies DLP deployment and ongoing management with over 1500 pre-defined templates, poli",
"vendor_name": "Forcepoint",
"vendor_alias": "forcepoint",
"is_legacy": false,
"review_summaries": [
"Issues With Agent Stability and Application Control Impact Forcepoint Data Loss Prevention",
"Continuous Security Validation and Automation Enhance Defense Capabilities and Efficiency",
"Solid enterprise protection, though ongoing effort needed for optimal results"
],
"alternatives": [
{
"id": "142380",
"name": "Microsoft Purview Data Loss Prevention",
"alias": "microsoft-purview-data-loss-prevention",
"average_rating": 4.2,
"review_count": 65,
"image": "https://www.gartner.com/pi/vendorimages/microsoft_data-loss-prevention_1696876041529.jpg",
"vendor_name": "Microsoft",
"vendor_alias": "microsoft",
"url": "https://www.gartner.com/reviews/product/microsoft-purview-data-loss-prevention"
},
{
"id": "11442",
"name": "Trellix Data Loss Prevention (DLP)",
"alias": "trellix-data-loss-prevention-dlp",
"average_rating": 4.5,
"review_count": 380,
"image": "https://www.gartner.com/pi/vendorimages/trellix_data-loss-prevention_1666071792343.png",
"vendor_name": "Trellix",
"vendor_alias": "trellix",
"url": "https://www.gartner.com/reviews/product/trellix-data-loss-prevention-dlp"
}
],
"url": "https://www.gartner.com/reviews/product/forcepoint-dlp",
"position": 1
},
{
"id": "12606",
"name": "Cisco Umbrella",
"alias": "cisco-umbrella",
"average_rating": 4.4,
"review_count": 491,
"rating_distribution": {
"star_1": 0,
"star_2": 1,
"star_3": 30,
"star_4": 202,
"star_5": 258
},
"image": "https://www.gartner.com/pi/vendorimages/cisco_1591887602537.png",
"description": "Cisco Umbrella is a cloud-delivered security software designed to protect users from online threats and enforce security policies across networks and devices. It enables organizations to secure internet access by offering DNS-layer protection, web filtering, and secure gateway capabilities. The software provides visibility into user activity, blocks malicious domains and content, and prevents conn",
"vendor_name": "Cisco Systems",
"vendor_alias": "cisco-systems",
"is_legacy": false,
"review_summaries": [
"AI-driven accuracy delivers fast incident response to evolving data loss security threats",
"Effective DNS layer protection and AnyConnect integration, reporting needs work",
"Control de tráfico web desde cualquier ubicación con ajustes en listas de acceso"
],
"alternatives": [
{
"id": "135894",
"name": "Zscaler Unified Data Protection Platform",
"alias": "zscaler-unified-data-protection-platform",
"average_rating": 4.5,
"review_count": 29,
"image": "https://www.gartner.com/imagesrv/peer-insights/vendors/logos/zscaler.png",
"vendor_name": "Zscaler",
"vendor_alias": "zscaler",
"url": "https://www.gartner.com/reviews/product/zscaler-unified-data-protection-platform"
},
{
"id": "65904",
"name": "Barracuda Email Protection",
"alias": "barracuda-email-protection",
"average_rating": 4.5,
"review_count": 15,
"image": "https://www.gartner.com/pi/vendorimages/barracuda_1770308028434.png",
"vendor_name": "Barracuda",
"vendor_alias": "barracuda",
"url": "https://www.gartner.com/reviews/product/barracuda-email-protection"
}
],
"url": "https://www.gartner.com/reviews/product/cisco-umbrella",
"position": 2
}
],
"proxy_traffic_bytes": 11132
},
"total_points": 2
}- You send
- A market alias, with sort, reviewed_last_12_months, company_size, industry, and region filters
- You get back
- Ranked products in the market with vendor and ratings
- Coverage
- Markets (software categories) with a public Gartner Peer Insights profile.
- Price
- 1 point per returned result, up to 250 per request — $1 per 1,000
- Billed per record actually returned, capped by max_items. A market that matches nothing costs nothing.
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 |
|---|---|---|---|
| Reading the market's ranked list by hand | Open the market page, apply filters in the UI, scroll and copy | Free, and slow | Re-segmenting by company size or industry means repeating the whole process each time |
| Building a scraper | Write it, host it, and repair it when the layout or filter labels move | Engineering time | A maintenance commitment for something that is not your product |
| NeuralVerge | One request, filters as parameters | $1 per 1,000, misses not billed | Filter labels must match Gartner's own strings exactly, or the filter simply returns nothing narrowed |
Response
What you get back
Every field in the response shown above.
| Field | Type | Description |
|---|---|---|
total_items | number | How many products came back for the market and filters. |
market_product_count | number | Total products listed in the market, before filters and max_items are applied. |
id | string | Gartner's internal product ID. |
name | string | Product name. |
alias | string | Product alias. |
average_rating | number | Average rating within the applied peer segment. |
review_count | number | Review count within the applied peer segment. |
rating_distribution | object | Review count broken down by star rating (star_1 through star_5). |
image | string | Product image URL. |
description | string | Product description as Gartner publishes it. |
vendor_name | string | Vendor name. |
vendor_alias | string | Vendor alias. |
is_legacy | boolean | Whether Gartner marks this product listing as legacy. |
review_summaries | array | Headline snippets pulled from recent reviews. |
alternatives | array | Similar products Gartner surfaces as alternatives, each with name, vendor, and rating. |
url | string | Direct link to the product's Peer Insights page. |
position | number | Rank position within the market, under the applied filters. |
Integration
How to run it
The same lookup works from the app, the API, or as a tool an agent can call mid-task.
market is required; max_items (1-250, default 25), sort, reviewed_last_12_months, company_size, industry, and region are optional. Filter values must match the label strings Gartner Peer Insights itself uses.
curl -X POST https://api.neuralverge.ai/functions/v1/run-gartner-markets-products \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"market": "data-loss-prevention",
"max_items": 25,
"sort": "averageRating_desc",
"company_size": ["Enterprise"],
"industry": ["Healthcare"]
}'Use cases
What teams use it for
Where this field shows up in an actual workflow.
Peer-segmented competitive ranking
See how a market ranks specifically among enterprise buyers in your industry, not a blended average.
Vertical-specific shortlisting
Filter by industry and region to build a shortlist relevant to one buyer segment.
Freshness-aware comparisons
Use reviewed_last_12_months to weight recent sentiment over legacy review volume.
Tracking rank movement over time
Run the same market and filters on a schedule and watch rank order shift.
Coverage & limits
Coverage, freshness and limits
What this source covers, how fresh it is, and where it stops.
Coverage
Markets (software categories) with a public Gartner Peer Insights profile.
Freshness
Searched at request time.
Handling
This source returns publicly visible market ranking information, stamped with the market alias it was read from and a session id you can trace.
What it will not do
- —Filter values are Gartner's own label strings — an unmatched value returns an unfiltered or empty result rather than a fuzzy match.
- —Peer-segment filters split an already self-selected review pool into smaller pools, so thin segments return thin rankings.
- —Ranking reflects Gartner's ratings data, not independent verification of product fit.
FAQ
Questions, answered
company_size, industry, and region use Gartner's own peer-group labels, so the ranking reflects how a specific kind of buyer sees the market — enterprise healthcare companies, for example — rather than one blended average across every reviewer.
Related
Related sources
Try gartner market products on your own data
One request format across every source in the catalog.