Perigon vs Diffbot: full comparison for 2026
Quick verdict
Perigon (4.5/5) edges ahead of Diffbot (3.8/5) overall. Perigon is the better choice for startups wanting enriched news with transparent tiers. 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.
Perigon vs Diffbot: head-to-head summary
| Criterion | Perigon | Diffbot |
|---|---|---|
| Founded | 2022 | 2008 |
| HQ | Austin, Texas, USA | Menlo Park, California, USA |
| Team size | 11–50 | 11–50 |
| Rating | 4.5 / 5 | 3.8 / 5 |
| Primary differentiator | Published plans from $25 with enrichment and saved-query monitors included | Turns any article URL into clean structured data linked to a Knowledge Graph |
| Pricing model | Monthly plans; add-ons for real-time and volume | Monthly credit plans |
| Entry price | $25/mo | $299/mo |
| Formats & SDKs | REST API, JSON, Python SDK | REST API, JSON, Python SDK |
| Typical uses | AI & LLM apps, Media monitoring, Risk & compliance, Marketing & PR | AI & LLM apps, Research & academia, Marketing & PR, Financial services |
Perigon vs Diffbot: overview
Perigon
Perigon was founded in 2022 by Joshua Dziabiak and Josh Rickel, is based in Austin, Texas, and closed a $5 million seed round led by LiveOak Ventures in February 2024. The API collects from more than 230,000 sources (per company website; independently unverifiable) and returns articles with entities, topics, summaries and story clusters, plus Monitors that run saved queries on a schedule. All three plans are public: Individual at $25 a month for personal use, Startup at $250 with limited commercial rights, and Commercial at $1,250 with real-time data, an SLA and SSO. Below the Commercial tier, data carries a one-hour delay unless you buy the real-time add-on.
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: Perigon vs Diffbot
| Capability | Perigon | Diffbot |
|---|---|---|
| Full article text | ✓ | ✓ |
| Historical archive | ✓ | ✓ |
| NLP enrichment | ✓ | ✓ |
| Story/event clustering | ✓ | ✗ |
| Licensed publisher content | ✗ | ✗ |
| Streaming or webhooks | ✓ | ✗ |
| Free access | ✓ | ✓ |
Formats and SDKs: Perigon vs Diffbot
| Format / SDK | Perigon | Diffbot |
|---|---|---|
| REST API | ✓ | ✓ |
| Python SDK | ✓ | ✓ |
| Node.js SDK | ✓ | N/A |
| Webhooks | ✓ | N/A |
| WebSocket | N/A | N/A |
| MCP server | N/A | N/A |
| S3/bulk delivery | N/A | N/A |
| BigQuery | N/A | N/A |
Pricing comparison: Perigon vs Diffbot
| Criterion | Perigon | Diffbot |
|---|---|---|
| Entry price | $25/mo | $299/mo |
| Pricing model | Monthly plans; add-ons for real-time and volume | Monthly credit plans |
| Access models | Free trial, Monthly plans, Enterprise contract | Free tier, Monthly plans, Enterprise contract |
| Price transparency | Public price | Public price |
| Price tier | Budget | Mid-market |
Who each API suits: Perigon vs Diffbot
| Dimension | Perigon | Diffbot |
|---|---|---|
| Buyer type | Individuals to enterprise | Individuals to enterprise |
| Typical uses | AI & LLM apps, Media monitoring, Risk & compliance | AI & LLM apps, Research & academia, Marketing & PR |
| Example use cases | A startup building a news-aware product that needs commercial rights early. Brand or risk alerts driven by saved searches. | Monitoring a fixed list of niche publications. Enriching articles with company and people data. |
| How you get access | Free trial | Free tier |
Perigon vs Diffbot: pros and cons
| Perigon | |
|---|---|
| + | Even the $25 tier returns entity and topic data instead of bare headlines |
| + | Monitors turn a saved query into a recurring alert without extra code |
| + | The Commercial tier bundles a 10+ year archive, an SLA and SSO in one price |
| + | License terms spell out that you are buying the structured data, which helps legal review |
| - | Real-time data costs extra below the $1,250 Commercial plan; otherwise expect a one-hour delay |
| - | Request quotas are tight for the price, with 10,000 a month on Startup |
| - | The license does not cover republishing full article text |
| 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 Perigon?
A typical fit: a startup building a news-aware product that needs commercial rights early.
Published plans from $25 with enrichment and saved-query monitors included. Paid access starts at $25/mo. Typical uses: AI & LLM apps, Media monitoring, Risk & compliance, Marketing & PR.
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: Perigon vs Diffbot
| Your situation | Recommended choice |
|---|---|
| You want to start free before paying | Both |
| Your budget is at the lower end | Perigon |
| You need full article text in the response | Both |
| You need years of historical news | Both |
| You need licensed premium or wire content | Neither; look at Factiva, AP or LexisNexis |
| You are wiring news into an LLM agent | Perigon |
Use case fit: Perigon vs Diffbot
| Use case | Perigon fit | Diffbot fit | Winner |
|---|---|---|---|
| AI & LLM apps | Strong | Strong | Both equally |
| Media monitoring | Strong | Limited | Perigon |
| Risk & compliance | Strong | Limited | Perigon |
| Marketing & PR | Strong | Strong | Both equally |
| Research & academia | Limited | Strong | Diffbot |
| Financial services | Limited | Strong | Diffbot |
Verdict: Perigon vs Diffbot
Perigon (4.5/5) is the stronger overall choice as a news data source. Published plans from $25 with enrichment and saved-query monitors included.
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
Perigon vs Diffbot FAQ
Is Perigon better than Diffbot?
Perigon (4.5/5) scores higher overall, but "better" depends on your use case. Perigon's strongest advantage: even the $25 tier returns entity and topic data instead of bare headlines. Diffbot's strongest advantage: extraction handles almost any news layout without custom parsers.
How do Perigon and Diffbot differ in pricing?
Perigon: monthly plans; add-ons for real-time and volume, with paid access from $25/mo. Diffbot: monthly credit plans, with paid access from $299/mo. Both offer some free access for testing.
Which is better for enterprise: Perigon or Diffbot?
Both sell enterprise contracts. Neither carries licensed publisher content, so check copyright terms before republishing anything.
What are the main differences between Perigon and Diffbot?
What sets Perigon apart: published plans from $25 with enrichment and saved-query monitors included. What sets Diffbot apart: turns any article URL into clean structured data linked to a Knowledge Graph. They also differ on entry price ($25/mo vs $299/mo) and typical uses (AI & LLM apps, Media monitoring vs AI & LLM apps, Research & academia).
Verify all details directly with each API before making a decision.