Synthetic Data
Human View is the term as people read it. Machine View is exactly what an AI agent receives.
This is the page you're already on. The Human View toggle above shows it in full.
This is exactly what an AI agent receives. The same record, as JSON-LD, below.
Use this record in your app or agent
di get-glossary --slug synthetic-data
GET https://api.decisioninsights.ai/api/public/v1/glossary/500a1583-8e00-499c-9b94-231b5da55250
curl -X POST https://mcp.decisioninsights.ai/api/mcp-public \
-H "content-type: application/json" \
-H "accept: application/json, text/event-stream" \
-d '{"id":1,"jsonrpc":"2.0","method":"tools/call","params":{"arguments":{"slug":"synthetic-data"},"name":"di_get_term"}}'
The CLI command and the REST call for this record need a free account: run di login, or send your OAuth token. Over MCP it is free with none.
A green key on the record, left, is one Decision Insights added. It doesn't exist on the company's site or in a wire feed. The same key labels its row on the right, so you can match them directly. More on how DI enriches a record.
This is what the machine sees: the exact JSON-LD an agent receives for this listing.
{
"@context": "https://schema.org",
"@id": "https://decisioninsights.ai/term/synthetic-data/#definedterm",
"@type": "DefinedTerm",
"additionalProperty": [
{
"@type": "PropertyValue",
"name": "Articles mentioning this entity",
"value": 1
},
{
"@type": "PropertyValue",
"name": "Organizations tagged",
"value": 4
},
{
"@type": "PropertyValue",
"name": "Organizations",
"propertyID": "https://decisioninsights.ai/ns#taggedOrganizations",
"value": [
{
"@id": "https://decisioninsights.ai/registry/sarus/#organization",
"@type": "Organization",
"mainEntityOfPage": "https://decisioninsights.ai/registry/sarus/",
"name": "Sarus"
},
{
"@id": "https://decisioninsights.ai/registry/statice-tech/#organization",
"@type": "Organization",
"mainEntityOfPage": "https://decisioninsights.ai/registry/statice-tech/",
"name": "Statice Tech"
},
{
"@id": "https://decisioninsights.ai/registry/syntegra-systems/#organization",
"@type": "Organization",
"mainEntityOfPage": "https://decisioninsights.ai/registry/syntegra-systems/",
"name": "Syntegra Systems"
},
{
"@id": "https://decisioninsights.ai/registry/syntonym/#organization",
"@type": "Organization",
"mainEntityOfPage": "https://decisioninsights.ai/registry/syntonym/",
"name": "Syntonym"
}
]
},
{
"@type": "PropertyValue",
"name": "Related terms",
"valueReference": [
{
"@id": "https://decisioninsights.ai/term/synthetic-data-generation/#definedterm",
"@type": "DefinedTerm",
"mainEntityOfPage": "https://decisioninsights.ai/term/synthetic-data-generation/",
"name": "Synthetic Data Generation"
},
{
"@id": "https://decisioninsights.ai/term/synthetic-medical-data/#definedterm",
"@type": "DefinedTerm",
"mainEntityOfPage": "https://decisioninsights.ai/term/synthetic-medical-data/",
"name": "Synthetic Medical Data"
},
{
"@id": "https://decisioninsights.ai/term/synthetic-data-generator/#definedterm",
"@type": "DefinedTerm",
"mainEntityOfPage": "https://decisioninsights.ai/term/synthetic-data-generator/",
"name": "Synthetic Data Generator"
},
{
"@id": "https://decisioninsights.ai/term/hybrid-data-simulation/#definedterm",
"@type": "DefinedTerm",
"mainEntityOfPage": "https://decisioninsights.ai/term/hybrid-data-simulation/",
"name": "Hybrid Data Simulation"
},
{
"@id": "https://decisioninsights.ai/term/temporal-data-synthesis/#definedterm",
"@type": "DefinedTerm",
"mainEntityOfPage": "https://decisioninsights.ai/term/temporal-data-synthesis/",
"name": "Temporal Data Synthesis"
},
{
"@id": "https://decisioninsights.ai/term/contextual-data-synthesis/#definedterm",
"@type": "DefinedTerm",
"mainEntityOfPage": "https://decisioninsights.ai/term/contextual-data-synthesis/",
"name": "Contextual Data Synthesis"
},
{
"@id": "https://decisioninsights.ai/term/population-synthesis/#definedterm",
"@type": "DefinedTerm",
"mainEntityOfPage": "https://decisioninsights.ai/term/population-synthesis/",
"name": "Population Synthesis"
},
{
"@id": "https://decisioninsights.ai/term/data-realism-metric/#definedterm",
"@type": "DefinedTerm",
"mainEntityOfPage": "https://decisioninsights.ai/term/data-realism-metric/",
"name": "Data Realism Metric"
}
]
},
{
"@type": "PropertyValue",
"name": "Related terms (co-occurring topics)",
"valueReference": [
{
"@id": "https://decisioninsights.ai/term/digital-twin/#definedterm",
"@type": "DefinedTerm",
"mainEntityOfPage": "https://decisioninsights.ai/term/digital-twin/",
"name": "Digital Twin"
},
{
"@id": "https://decisioninsights.ai/term/industry/#definedterm",
"@type": "DefinedTerm",
"mainEntityOfPage": "https://decisioninsights.ai/term/industry/",
"name": "Industry"
}
]
}
],
"description": "Synthetic data is artificially generated data that reproduces the statistical properties and constraints of real datasets without exposing original records. It matters in enterprise contexts because it supports analytics, AI development, testing, and data sharing under privacy and governance requirements.",
"inDefinedTermSet": {
"@id": "https://decisioninsights.ai/term/#termset",
"@type": "DefinedTermSet",
"url": "https://decisioninsights.ai/term/"
},
"name": "Synthetic Data",
"subjectOf": [
{
"@id": "https://decisioninsights.ai/sas-institute-inc.-named-to-fast-company-applied-ai-digital-twin-list/#blogposting",
"@type": "NewsArticle",
"headline": "SAS Institute Inc. Named to Fast Company Applied AI Digital Twin List",
"isBasedOn": {
"@type": "CreativeWork",
"sourceOrganization": {
"@type": "Organization",
"name": "Cision"
},
"url": "https://www.prnewswire.com/news-releases/sas-named-to-fast-companys-2026-next-big-things-in-tech-list-302898864.html"
},
"url": "https://decisioninsights.ai/sas-institute-inc.-named-to-fast-company-applied-ai-digital-twin-list/"
}
],
"url": "https://decisioninsights.ai/term/synthetic-data/"
}
{
"@context": "https://schema.org",
"@id": "https://decisioninsights.ai/#website",
"@type": "WebSite",
"name": "Decision Insights",
"potentialAction": {
"@type": "SearchAction",
"target": {
"@type": "EntryPoint",
"urlTemplate": "https://decisioninsights.ai/search/?q={search_term_string}\u0026submit=1"
}
},
"publisher": {
"@id": "https://decisioninsights.ai/#organization"
},
"url": "https://decisioninsights.ai"
}
{
"@context": "https://schema.org",
"@id": "https://decisioninsights.ai/#organization",
"@type": "Organization",
"contactPoint": {
"@type": "ContactPoint",
"contactType": "customer support",
"email": "[email protected]"
},
"description": "Decision Insights is a Registry of technology companies, open source projects, and industry terms, built for people and for AI agents that need sourced, structured information.",
"legalName": "Wiretap Labs, LLC",
"logo": {
"@type": "ImageObject",
"url": "https://wiretap-cdn-assets.nyc3.cdn.digitaloceanspaces.com/decision-insights/[email protected]"
},
"name": "Decision Insights",
"parentOrganization": {
"@type": "Organization",
"name": "Wiretap Labs",
"sameAs": [
"https://www.linkedin.com/company/wiretap-labs",
"https://www.crunchbase.com/organization/wiretap-labs"
],
"url": "https://wiretaplabs.com"
},
"publishingPrinciples": "https://decisioninsights.ai/standards/",
"sameAs": [
"https://www.linkedin.com/company/decisioninsights"
],
"url": "https://decisioninsights.ai"
}
{
"@context": "https://schema.org",
"@type": "BreadcrumbList",
"itemListElement": [
{
"@type": "ListItem",
"item": "https://decisioninsights.ai",
"name": "Decision Insights",
"position": 1
},
{
"@type": "ListItem",
"item": "https://decisioninsights.ai/term/",
"name": "Glossary",
"position": 2
},
{
"@type": "ListItem",
"item": "https://decisioninsights.ai/term/synthetic-data/",
"name": "Synthetic Data",
"position": 3
}
]
}
{
"@context": "https://schema.org",
"@id": "https://decisioninsights.ai/term/synthetic-data/",
"@type": "CollectionPage",
"dateModified": "2026-08-24T02:20:39Z",
"description": "Synthetic data is artificially generated data that reproduces the statistical properties and constraints of real datasets without exposing original records. It matters in enterprise contexts because it supports analytics, AI development, testing, and data sharing under privacy and governance requirements.",
"isPartOf": {
"@id": "https://decisioninsights.ai/#website"
},
"mainEntity": {
"@id": "https://decisioninsights.ai/term/synthetic-data/#definedterm"
},
"name": "Synthetic Data",
"sdDatePublished": "2026-08-24",
"sdPublisher": {
"@id": "https://decisioninsights.ai/#organization"
},
"url": "https://decisioninsights.ai/term/synthetic-data/"
}
Graph
A glossary entry defines a term and stops there. It doesn't show where the term is actually being used or written about. We track and link every article that covers it.
Counted facts
A dictionary definition doesn't say how often a term is actually used. This counts it across the graph -- articles that mention it, open source projects tagged with it, and the organizations tagged with it, listed here alongside the count. A term has no peer companies, and nothing here claims otherwise.
The person who sent this agent gets an answer they can act on
Somebody dispatched this agent to evaluate Synthetic Data for a real decision: a shortlist, a vendor comparison, a purchase. "Synthetic Data makes X" isn't something they can act on; they need to know the claim is real and where it came from. Follow one enriched link from Act 2 and see what the agent can actually hand back to them:
- The record DefinedTerm Synthetic Data
- One of its 1 linked records NewsArticle SAS Institute Inc. Named to Fast Company Applied AI Digital Twin List https://decisioninsights.ai/sas-institute-inc.-named-to-fast-company-applied-ai-digital-twin-list/
- The primary source CreativeWork prnewswire.com https://www.prnewswire.com/news-releases/sas-named-to-fast-companys-2026-next-big-things-in-tech-list-302898864.html
Our summary is written by Decision Insights Record. The source keeps its own byline. Both are in the JSON.