GDELT Project vs Exa: full comparison for 2026
Quick verdict
GDELT Project (4.0/5) edges ahead of Exa (4.0/5) overall. GDELT Project is the better choice for researchers and data scientists with no budget. Exa is the stronger option for RAG and agent builders needing semantic news retrieval. The right pick depends on your budget, how much history you need and whether you need full text.
GDELT Project vs Exa: head-to-head summary
| Criterion | GDELT Project | Exa |
|---|---|---|
| Founded | 2013 | 2021 |
| HQ | Open research project (no commercial HQ) | San Francisco, USA |
| Team size | Not publicly disclosed | 51–200 |
| Rating | 4.0 / 5 | 4.0 / 5 |
| Primary differentiator | Free global coverage with 15-minute updates and BigQuery access | Meaning-based search finds relevant pages even when the keywords differ |
| Pricing model | Free | Pay per request; free monthly credit |
| Entry price | Free | $7 per 1,000 searches |
| Formats & SDKs | REST API, JSON, CSV | REST API, JSON, Python SDK |
| Typical uses | Research & academia, Risk & compliance, Media monitoring | AI & LLM apps, Research & academia |
GDELT Project vs Exa: overview
GDELT Project
The GDELT Project, created by Kalev Leetaru, is an open research database that monitors broadcast, print and web news worldwide in more than 65 languages and publishes updates every 15 minutes. Its DOC 2.0 API searches recent coverage and returns article lists and timelines, while bulk event and knowledge-graph files can be queried in Google BigQuery. The main APIs are free and need no key. What you get back is metadata and links, so you still have to fetch and parse each page yourself.
Exa
Exa Labs was founded in 2021 in San Francisco by Will Bryk and Jeff Wang under the name Metaphor, and raised an $85 million Series B led by Benchmark in September 2025. It runs its own embeddings-based web index. A request can be narrowed to the news category and can return cleaned page contents in the same call. As of 2026 the Search endpoint is listed at $7 per 1,000 requests with contents for the first 10 results included, and new accounts get $20 in credit. Exa is a general web search engine first, so small regional outlets and strict publication-date filters are weaker spots than in dedicated news APIs.
Features: GDELT Project vs Exa
| Capability | GDELT Project | Exa |
|---|---|---|
| Full article text | ✗ | ✓ |
| Historical archive | ✓ | ✗ |
| NLP enrichment | ✓ | ✗ |
| Story/event clustering | ✗ | ✗ |
| Licensed publisher content | ✗ | ✗ |
| Streaming or webhooks | ✗ | ✗ |
| Free access | ✓ | ✓ |
Formats and SDKs: GDELT Project vs Exa
| Format / SDK | GDELT Project | Exa |
|---|---|---|
| REST API | ✓ | ✓ |
| Python SDK | N/A | ✓ |
| Node.js SDK | N/A | ✓ |
| Webhooks | N/A | N/A |
| WebSocket | N/A | N/A |
| MCP server | N/A | ✓ |
| S3/bulk delivery | N/A | N/A |
| BigQuery | ✓ | N/A |
Pricing comparison: GDELT Project vs Exa
| Criterion | GDELT Project | Exa |
|---|---|---|
| Entry price | Free | $7 per 1,000 searches |
| Pricing model | Free | Pay per request; free monthly credit |
| Access models | Open data | Free tier, Pay-as-you-go, Enterprise contract |
| Price transparency | Public price | Public price |
| Price tier | Free | Budget |
Who each API suits: GDELT Project vs Exa
| Dimension | GDELT Project | Exa |
|---|---|---|
| Buyer type | Individuals to enterprise | Individuals to enterprise |
| Typical uses | Research & academia, Risk & compliance, Media monitoring | AI & LLM apps, Research & academia |
| Example use cases | Academic studies of global media coverage. Geopolitical risk dashboards built in BigQuery. | Grounding LLM answers with recent news pages. Research agents that need the most relevant articles on a topic. |
| How you get access | Open data | Free tier |
GDELT Project vs Exa: pros and cons
| GDELT Project | |
|---|---|
| + | Completely free, bulk files and BigQuery tables included |
| + | Machine-translated coverage across 65+ languages, which is rare at any price |
| + | Event coding (who did what to whom, and where) supports geopolitical analysis |
| + | Fresh data every 15 minutes |
| - | No full article text, only URLs, metadata and derived signals |
| - | No SLA, commercial support or guaranteed uptime |
| - | Research-grade data structures take time to understand |
| Exa | |
|---|---|
| + | Semantic queries surface coverage that keyword APIs miss |
| + | Search results and page contents come back in one call, which keeps RAG code short |
| + | Official MCP server and SDKs for Python and TypeScript |
| + | No monthly minimum on pay-per-request pricing |
| - | It is a search engine without a source taxonomy, sentiment or story clustering |
| - | Date filters rely on crawl and publish metadata that can be imprecise |
| - | Per-request costs climb fast for high-volume monitoring |
Who should choose GDELT Project?
A typical fit: academic studies of global media coverage.
Free global coverage with 15-minute updates and BigQuery access. Paid access starts at Free. Typical uses: Research & academia, Risk & compliance, Media monitoring.
Who should choose Exa?
A typical fit: grounding LLM answers with recent news pages.
Meaning-based search finds relevant pages even when the keywords differ. Paid access starts at $7 per 1,000 searches. Typical uses: AI & LLM apps, Research & academia.
Decision matrix: GDELT Project vs Exa
| Your situation | Recommended choice |
|---|---|
| You want to start free before paying | Both |
| Your budget is at the lower end | GDELT Project |
| You need full article text in the response | Exa |
| You need years of historical news | GDELT Project |
| You need licensed premium or wire content | Neither; look at Factiva, AP or LexisNexis |
| You are wiring news into an LLM agent | Exa |
Use case fit: GDELT Project vs Exa
| Use case | GDELT Project fit | Exa fit | Winner |
|---|---|---|---|
| Research & academia | Strong | Strong | Both equally |
| Risk & compliance | Strong | Limited | GDELT Project |
| Media monitoring | Strong | Limited | GDELT Project |
| AI & LLM apps | Limited | Strong | Exa |
Verdict: GDELT Project vs Exa
GDELT Project (4.0/5) is the stronger overall choice as a news data source. Free global coverage with 15-minute updates and BigQuery access.
Exa (4.0/5) is worth a look if you need research agents that need the most relevant articles on a topic. If your situation matches that, Exa is a competitive option.
Related comparisons
GDELT Project vs Exa FAQ
Is GDELT Project better than Exa?
GDELT Project (4.0/5) scores higher overall, but "better" depends on your use case. GDELT Project's strongest advantage: completely free, bulk files and BigQuery tables included. Exa's strongest advantage: semantic queries surface coverage that keyword APIs miss.
How do GDELT Project and Exa differ in pricing?
GDELT Project: free, with paid access from Free. Exa: pay per request; free monthly credit, with paid access from $7 per 1,000 searches. Both offer some free access for testing.
Which is better for enterprise: GDELT Project or Exa?
Exa sells enterprise contracts with negotiated volume and SLA terms. Neither carries licensed publisher content, so check copyright terms before republishing anything.
What are the main differences between GDELT Project and Exa?
What sets GDELT Project apart: free global coverage with 15-minute updates and BigQuery access. What sets Exa apart: meaning-based search finds relevant pages even when the keywords differ. They also differ on entry price (Free vs $7 per 1,000 searches) and typical uses (Research & academia, Risk & compliance vs AI & LLM apps, Research & academia).
Verify all details directly with each API before making a decision.