Exa vs Diffbot: full comparison for 2026
Quick verdict
Exa (4.0/5) edges ahead of Diffbot (3.8/5) overall. Exa is the better choice for RAG and agent builders needing semantic news retrieval. Diffbot is the stronger option for teams building custom news collection from chosen sites. The right pick depends on your budget, how much history you need and whether you need full text.
Exa vs Diffbot: head-to-head summary
| Criterion | Exa | Diffbot |
|---|---|---|
| Founded | 2021 | 2008 |
| HQ | San Francisco, USA | Menlo Park, California, USA |
| Team size | 51–200 | 11–50 |
| Rating | 4.0 / 5 | 3.8 / 5 |
| Primary differentiator | Meaning-based search finds relevant pages even when the keywords differ | Turns any article URL into clean structured data linked to a Knowledge Graph |
| Pricing model | Pay per request; free monthly credit | Monthly credit plans |
| Entry price | $7 per 1,000 searches | $299/mo |
| Formats & SDKs | REST API, JSON, Python SDK | REST API, JSON, Python SDK |
| Typical uses | AI & LLM apps, Research & academia | AI & LLM apps, Research & academia, Marketing & PR, Financial services |
Exa vs Diffbot: overview
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.
Diffbot
Diffbot was founded in 2008 by Mike Tung and is based in Menlo Park, California, with an estimated 30–40 employees. It uses computer vision and NLP to extract structured articles from any web page, and its Knowledge Graph links articles to organisations, people and topics so it can be queried as a news source. A free plan includes 10,000 credits at five calls a minute, the Startup plan costs $299 a month for 250,000 credits, and exporting one Knowledge Graph entity costs 25 credits. Teams that want to assemble their own news collection get more from it than teams wanting a ready-made feed.
Features: Exa vs Diffbot
| Capability | Exa | Diffbot |
|---|---|---|
| Full article text | ✓ | ✓ |
| Historical archive | ✗ | ✓ |
| NLP enrichment | ✗ | ✓ |
| Story/event clustering | ✗ | ✗ |
| Licensed publisher content | ✗ | ✗ |
| Streaming or webhooks | ✗ | ✗ |
| Free access | ✓ | ✓ |
Formats and SDKs: Exa vs Diffbot
| Format / SDK | Exa | Diffbot |
|---|---|---|
| REST API | ✓ | ✓ |
| Python SDK | ✓ | ✓ |
| 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 | N/A |
Pricing comparison: Exa vs Diffbot
| Criterion | Exa | Diffbot |
|---|---|---|
| Entry price | $7 per 1,000 searches | $299/mo |
| Pricing model | Pay per request; free monthly credit | Monthly credit plans |
| Access models | Free tier, Pay-as-you-go, Enterprise contract | Free tier, Monthly plans, Enterprise contract |
| Price transparency | Public price | Public price |
| Price tier | Budget | Mid-market |
Who each API suits: Exa vs Diffbot
| Dimension | Exa | Diffbot |
|---|---|---|
| Buyer type | Individuals to enterprise | Individuals to enterprise |
| Typical uses | AI & LLM apps, Research & academia | AI & LLM apps, Research & academia, Marketing & PR |
| Example use cases | Grounding LLM answers with recent news pages. Research agents that need the most relevant articles on a topic. | Monitoring a fixed list of niche publications. Enriching articles with company and people data. |
| How you get access | Free tier | Free tier |
Exa vs Diffbot: pros and cons
| 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 |
| Diffbot | |
|---|---|
| + | Extraction handles almost any news layout without custom parsers |
| + | The Knowledge Graph connects coverage to companies and people |
| + | A free plan with 10,000 credits and no card |
| + | Crawlbot can follow the specific publishers you pick |
| - | Knowledge Graph exports cost 25 credits per entity, which adds up |
| - | You assemble the news feed yourself instead of receiving one |
| - | The $299 Startup plan is high for small projects |
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.
Who should choose Diffbot?
A typical fit: monitoring a fixed list of niche publications.
Turns any article URL into clean structured data linked to a Knowledge Graph. Paid access starts at $299/mo. Typical uses: AI & LLM apps, Research & academia, Marketing & PR, Financial services.
Decision matrix: Exa vs Diffbot
| Your situation | Recommended choice |
|---|---|
| You want to start free before paying | Both |
| Your budget is at the lower end | Exa |
| You need full article text in the response | Both |
| You need years of historical news | Diffbot |
| 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: Exa vs Diffbot
| Use case | Exa fit | Diffbot fit | Winner |
|---|---|---|---|
| AI & LLM apps | Strong | Strong | Both equally |
| Research & academia | Strong | Strong | Both equally |
| Marketing & PR | Limited | Strong | Diffbot |
| Financial services | Limited | Strong | Diffbot |
Verdict: Exa vs Diffbot
Exa (4.0/5) is the stronger overall choice as a news data source. Meaning-based search finds relevant pages even when the keywords differ.
Diffbot (3.8/5) is worth a look if you need enriching articles with company and people data. If your situation matches that, Diffbot is a competitive option.
Related comparisons
Exa vs Diffbot FAQ
Is Exa better than Diffbot?
Exa (4.0/5) scores higher overall, but "better" depends on your use case. Exa's strongest advantage: semantic queries surface coverage that keyword APIs miss. Diffbot's strongest advantage: extraction handles almost any news layout without custom parsers.
How do Exa and Diffbot differ in pricing?
Exa: pay per request; free monthly credit, with paid access from $7 per 1,000 searches. Diffbot: monthly credit plans, with paid access from $299/mo. Both offer some free access for testing.
Which is better for enterprise: Exa or Diffbot?
Both sell enterprise contracts. Neither carries licensed publisher content, so check copyright terms before republishing anything.
What are the main differences between Exa and Diffbot?
What sets Exa apart: meaning-based search finds relevant pages even when the keywords differ. What sets Diffbot apart: turns any article URL into clean structured data linked to a Knowledge Graph. They also differ on entry price ($7 per 1,000 searches vs $299/mo) and typical uses (AI & LLM apps, Research & academia vs AI & LLM apps, Research & academia).
Verify all details directly with each API before making a decision.