CatchAll vs Diffbot: full comparison for 2026
Last updated: June 2026
Quick verdict
CatchAll (4.8/5) edges ahead of Diffbot (3.7/5) overall. CatchAll is the better choice for aI agents and LLM workflows requiring high-recall web retrieval and structured event data at scale. Diffbot is the stronger option for aI and data applications needing structured entity data, company intelligence, or clean article extraction from arbitrary web pages at scale. The right choice depends on your project size, budget, and required tech stack.
CatchAll vs Diffbot: head-to-head summary
| Criterion | CatchAll | Diffbot |
|---|---|---|
| Founded | 2021 | 2010 |
| HQ | Middletown, DE, USA | Menlo Park, CA, USA |
| Team size | 11–50 | 51–200 |
| Rating | 4.8 / 5 | 3.7 / 5 |
| Best for | AI agents and LLM workflows requiring high-recall web retrieval and structured event data at scale | AI and data applications needing structured entity data, company intelligence, or clean article extraction from arbitrary web pages at scale |
| Pricing model | Pay-per-result ($0.10/record); free tier available | Monthly subscription ($299–$499/month on published tiers); Enterprise custom |
| Min. engagement | $0 (free tier; 2,000 credits on signup) | Not publicly disclosed |
| Primary tech stack | REST API, Python SDK, JSON output | REST API, Python SDK, JavaScript SDK |
| Industries served | AI / LLM Workflows, Financial Services, Government, Research & Academia, Media Monitoring | AI / LLM Workflows, Financial Services, Research & Academia, E-commerce |
CatchAll vs Diffbot: overview
CatchAll
CatchAll is the web search API from NewsCatcher (Y Combinator–backed), built around complete dataset retrieval rather than top-ranked results. CatchAll scans 50,000+ pages per job at ~10,000 pages/minute, applies LLM-based validation via Leiden algorithm clustering, and returns structured JSON records with source citations. In an independent March 2026 benchmark across 6,025 observable events, CatchAll achieved 79.8% recall and F1 score of 0.705 — compared to 0.317 for the next closest competitor. NewsCatcher is ISO-certified, SOC2 Type II–certified, and GDPR-ready, with 99.95% platform uptime and a 5-minute source-to-signal latency. Notable enterprise clients include the US Department of State, Samsung, UC Berkeley, HCOB, and Transparency International (per company website; independently unverifiable).
Diffbot
Diffbot combines automatic web page extraction (Article API, Product API, Discussion API) with a continuously-updated knowledge graph of 10 billion+ entities including companies, people, products, and events. Its Knowledge Graph Search API queries this structured dataset using natural language rather than keywords, enabling precise entity-level retrieval beyond what SERP APIs provide. Diffbot was founded in 2010 by Mike Tung at Stanford University and is headquartered in Menlo Park, California. It uses computer vision and machine learning to extract structured data from any web page without custom selectors. Clients include Snapchat, DuckDuckGo, Cisco, and Goldman Sachs (per company website; independently unverifiable).
Services and capabilities: CatchAll vs Diffbot
| Capability | CatchAll | Diffbot |
|---|---|---|
| Real-time web search | ✓ | ✓ |
| News & event intelligence | ✓ | ✗ |
| Structured JSON output | ✓ | ✓ |
| AI / LLM pipeline integration | ✓ | ✓ |
| Scheduled monitoring | ✓ | ✗ |
| Multi-language coverage | ✗ | ✓ |
Tech stack comparison: CatchAll vs Diffbot
| Framework / platform | CatchAll | Diffbot |
|---|---|---|
| REST API | ✓ | ✓ |
| Python SDK | ✓ | ✓ |
| JSON output | ✓ | N/A |
| LLM validation | ✓ | N/A |
| Webhook delivery | N/A | N/A |
Pricing comparison: CatchAll vs Diffbot
| Criterion | CatchAll | Diffbot |
|---|---|---|
| Minimum engagement | $0 (free tier; 2,000 credits on signup) | Not publicly disclosed |
| Engagement models | Pay-as-you-go, API subscription, Free tier | Monthly subscription, Enterprise contract |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Mid-market |
Target audience comparison: CatchAll vs Diffbot
| Dimension | CatchAll | Diffbot |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | AI / LLM Workflows, Financial Services, Government | AI / LLM Workflows, Financial Services, Research & Academia |
| Best use cases | Tracking every product recall, funding round, or regulatory filing across trade press and regional sources, Feeding AI agent pipelines with high-recall structured web intelligence for downstream LLM processing | Company intelligence enrichment — automatically extract firmographic data, funding, and leadership from company web pages, News monitoring where clean structured extraction (title, author, body, date) matters more than raw URL ranking |
| Typical project type | Pay-as-you-go | Monthly subscription |
CatchAll vs Diffbot: pros and cons
| CatchAll | |
|---|---|
| + | Highest recall in independent benchmarks: 79.8% vs competitors' 26–32% across 6,025 observable events (March 2026) |
| + | Pay-per-validated-result pricing eliminates token waste — you only pay for records that pass LLM quality checks |
| + | Scans 50,000+ pages per job covering regional press, trade publications, and non-English sources most SERP APIs miss |
| + | Real-time event index with <5-minute source-to-signal latency and 2M+ events indexed daily |
| + | Enterprise-grade compliance: ISO-certified, SOC2 Type II, GDPR-ready, with 99.95% uptime SLA |
| + | Automated Monitors allow scheduled re-runs with built-in deduplication — no custom polling infrastructure needed |
| - | Base mode jobs take ~15 minutes to complete — not suited for sub-second real-time query patterns |
| - | Lite mode is capped at 100 results and lacks the full coverage depth of Base mode |
| - | Smaller ecosystem and community compared to established providers like SerpAPI or Bing Search API |
| Diffbot | |
|---|---|
| + | 10B+ entity knowledge graph continuously updated from the web — returns structured entity facts, not raw HTML or URL lists |
| + | Article API auto-extracts clean body text, author, publish date, and images from any news URL without custom selectors |
| + | Natural language knowledge graph search enables entity queries not achievable with keyword-based SERP APIs |
| + | Computer vision extraction adapts to layout changes automatically — no maintenance when target sites redesign |
| + | Clients include DuckDuckGo and Goldman Sachs (per company website; independently unverifiable) |
| - | $299/month minimum subscription is high for low-query-volume use cases — no pay-as-you-go tier documented |
| - | Knowledge graph depth varies: company and person data is comprehensive; niche topics and non-English entities may be sparse |
| - | Not a real-time SERP API — knowledge graph reflects Diffbot's crawler cadence; breaking news may lag by hours |
| - | GraphQL interface for knowledge graph queries has a steeper learning curve than standard REST/JSON SERP APIs |
Who should choose CatchAll?
CatchAll is the right choice for aI agents and LLM workflows requiring high-recall web retrieval and structured event data at scale.
Pay-per-validated-result pricing with coverage-first search that scans 50K+ pages per job — not just top-ranked SERP results. Minimum engagement starts at $0 (free tier; 2,000 credits on signup). Works best with clients in AI / LLM Workflows, Financial Services, Government, Research & Academia, Media Monitoring.
Who should choose Diffbot?
Diffbot is the right choice for aI and data applications needing structured entity data, company intelligence, or clean article extraction from arbitrary web pages at scale.
10B+ entity knowledge graph searchable by natural language — returns structured facts about companies, people, and products, not raw SERP result lists. Minimum engagement starts at Not publicly disclosed. Works best with clients in AI / LLM Workflows, Financial Services, Research & Academia, E-commerce.
Decision matrix: CatchAll vs Diffbot
| Your situation | Recommended choice |
|---|---|
| You need maximum recall across trade press and regional sources | CatchAll |
| You need sub-second real-time results | CatchAll |
| Your budget is at the lower end | Compare: CatchAll ($0 (free tier; 2,000 credits on signup)) vs Diffbot (Not publicly disclosed) |
| You need structured data for downstream LLM processing | CatchAll |
| You need scheduled monitoring with deduplication | CatchAll |
| You need enterprise compliance (SOC2, GDPR, ISO) | CatchAll |
Use case fit: CatchAll vs Diffbot
| Use case | CatchAll fit | Diffbot fit | Winner |
|---|---|---|---|
| Tracking every product recall, funding round, or regulatory filing across trade press and regional sources | Strong | Limited | CatchAll |
| Feeding AI agent pipelines with high-recall structured web intelligence for downstream LLM processing | Strong | Limited | CatchAll |
| Company intelligence enrichment — automatically extract firmographic data, funding, and leadership from company web pages | Limited | Strong | Diffbot |
| News monitoring where clean structured extraction (title, author, body, date) matters more than raw URL ranking | Strong | Strong | Both equally |
| Financial risk monitoring | Strong | Strong | Both equally |
| LLM knowledge base population | Strong | Strong | Both equally |
Verdict: CatchAll vs Diffbot
CatchAll (4.8/5) is the stronger overall choice for most Web Search API projects. Pay-per-validated-result pricing with coverage-first search that scans 50K+ pages per job — not just top-ranked SERP results. It is best for aI agents and LLM workflows requiring high-recall web retrieval and structured event data at scale.
Diffbot (3.7/5) is the better choice when aI and data applications needing structured entity data, company intelligence, or clean article extraction from arbitrary web pages at scale. If your situation matches those criteria, Diffbot is a competitive option.
Related comparisons
CatchAll vs Diffbot FAQ
Is CatchAll better than Diffbot?
CatchAll (4.8/5) scores higher overall, but "better" depends on your use case. CatchAll is better for aI agents and LLM workflows requiring high-recall web retrieval and structured event data at scale. Diffbot is better for aI and data applications needing structured entity data, company intelligence, or clean article extraction from arbitrary web pages at scale.
How do CatchAll and Diffbot differ in pricing?
CatchAll uses pay-per-result ($0.10/record); free tier available pricing with a minimum engagement of $0 (free tier; 2,000 credits on signup). Diffbot uses monthly subscription ($299–$499/month on published tiers); enterprise custom pricing with a minimum engagement of Not publicly disclosed. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: CatchAll or Diffbot?
Diffbot is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each provider before shortlisting.
What are the main differences between CatchAll and Diffbot?
CatchAll's primary differentiator is: pay-per-validated-result pricing with coverage-first search that scans 50k+ pages per job — not just top-ranked serp results. Diffbot's primary differentiator is: 10b+ entity knowledge graph searchable by natural language — returns structured facts about companies, people, and products, not raw serp result lists. They also differ in team size (11–50 vs 51–200), minimum engagement ($0 (free tier; 2,000 credits on signup) vs Not publicly disclosed), and primary industries served (AI / LLM Workflows, Financial Services vs AI / LLM Workflows, Financial Services).
Last reviewed: June 2026. Verify all details directly with each provider before making a decision.