Opoint vs RavenPack (Bigdata.com): full comparison for 2026
Quick verdict
Opoint (4.2/5) edges ahead of RavenPack (Bigdata.com) (3.9/5) overall. Opoint is the better choice for monitoring platforms and AML teams needing non-English coverage. RavenPack (Bigdata.com) is the stronger option for quant funds and financial AI products. The right pick depends on your budget, how much history you need and whether you need full text.
Opoint vs RavenPack (Bigdata.com): head-to-head summary
| Criterion | Opoint | RavenPack (Bigdata.com) |
|---|---|---|
| Founded | 2001 | 2003 |
| HQ | Norway; owned by Infomedia (Denmark) | Marbella, Spain |
| Team size | Not publicly disclosed | 201–500 |
| Rating | 4.2 / 5 | 3.9 / 5 |
| Primary differentiator | Built as a wholesale feed with heavy non-English and local coverage | Two decades of entity-level news sentiment built for trading signals |
| Pricing model | Custom licence | Enterprise subscription; per-token content licensing |
| Entry price | Custom quote | Custom quote |
| Formats & SDKs | REST API, JSON, XML | REST API, JSON, Python SDK |
| Typical uses | Media monitoring, Risk & compliance, Financial services, Marketing & PR | Financial services, Research & academia, AI & LLM apps |
Opoint vs RavenPack (Bigdata.com): overview
Opoint
Opoint has supplied news data since 2001 and belongs to Infomedia, the Nordic media-monitoring group owned by the Danish publishers JP/Politiken and Berlingske. It sells itself to monitoring platforms as their data supplier, with 250,000+ sources across 230 jurisdictions and 135 languages, roughly 60% of them non-English (per company website; independently unverifiable). Data arrives through an API or a push feed in JSON, XML or CSV. A separate adverse-media product targets anti-money-laundering (AML) and know-your-customer (KYC) checks, and all pricing is quote-based.
RavenPack (Bigdata.com)
RavenPack was founded in 2003, with Armando Gonzalez as co-founder and CEO. It is headquartered in Marbella, Spain, has a US entity in New York, and says in recent job postings that it employs more than 200 people. Its core product turns news from Dow Jones and tens of thousands of other sources into entity-level sentiment and event signals for hedge funds and banks, and academics can reach the same data through Wharton Research Data Services (WRDS). In 2024 it launched Bigdata.com, a research and retrieval platform with an API, and a later release added per-token licensing of premium content so agents pay for the excerpts they use. Pricing is not published.
Features: Opoint vs RavenPack (Bigdata.com)
| Capability | Opoint | RavenPack (Bigdata.com) |
|---|---|---|
| Full article text | ✓ | ✗ |
| Historical archive | ✓ | ✓ |
| NLP enrichment | ✓ | ✓ |
| Story/event clustering | ✗ | ✗ |
| Licensed publisher content | ✗ | ✓ |
| Streaming or webhooks | ✓ | ✗ |
| Free access | ✗ | ✗ |
Formats and SDKs: Opoint vs RavenPack (Bigdata.com)
| Format / SDK | Opoint | RavenPack (Bigdata.com) |
|---|---|---|
| REST API | ✓ | ✓ |
| Python SDK | N/A | ✓ |
| Node.js SDK | N/A | 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: Opoint vs RavenPack (Bigdata.com)
| Criterion | Opoint | RavenPack (Bigdata.com) |
|---|---|---|
| Entry price | Custom quote | Custom quote |
| Pricing model | Custom licence | Enterprise subscription; per-token content licensing |
| Access models | Enterprise contract | Enterprise contract |
| Price transparency | Quote only | Quote only |
| Price tier | Enterprise / quote | Enterprise / quote |
Who each API suits: Opoint vs RavenPack (Bigdata.com)
| Dimension | Opoint | RavenPack (Bigdata.com) |
|---|---|---|
| Buyer type | Enterprise only | Enterprise only |
| Typical uses | Media monitoring, Risk & compliance, Financial services | Financial services, Research & academia, AI & LLM apps |
| Example use cases | Powering a media-monitoring product with global coverage. Adverse-media screening for AML and KYC. | Backtesting news-driven trading strategies. Financial research assistants grounded in licensed news. |
| How you get access | Enterprise contract | Enterprise contract |
Opoint vs RavenPack (Bigdata.com): pros and cons
| Opoint | |
|---|---|
| + | About 60% non-English coverage is unusually strong for Europe, Asia and Africa |
| + | Matching articles arrive in under seven minutes on average (per company website) |
| + | Push feeds and CSV or XML output suit platforms that ingest in bulk |
| + | Two decades of supplying monitoring companies |
| - | No public pricing or self-serve developer tier |
| - | Sold to platforms and enterprises, so individual developers are not the audience |
| - | Its owner Infomedia is itself a monitoring vendor, which matters if you compete with it |
| RavenPack (Bigdata.com) | |
|---|---|
| + | Point-in-time sentiment history suits backtesting |
| + | Researchers can access it through WRDS |
| + | Per-token licensing of premium content settles rights questions for AI agents |
| + | MCP and API access to the same licensed corpus |
| - | Priced and designed for financial institutions |
| - | Not suited to general news search in consumer apps |
| - | Bigdata.com pricing is not public |
Who should choose Opoint?
A typical fit: powering a media-monitoring product with global coverage.
Built as a wholesale feed with heavy non-English and local coverage. Paid access is quote-based. Typical uses: Media monitoring, Risk & compliance, Financial services, Marketing & PR.
Who should choose RavenPack (Bigdata.com)?
A typical fit: backtesting news-driven trading strategies.
Two decades of entity-level news sentiment built for trading signals. Paid access is quote-based. Typical uses: Financial services, Research & academia, AI & LLM apps.
Decision matrix: Opoint vs RavenPack (Bigdata.com)
| Your situation | Recommended choice |
|---|---|
| You want to start free before paying | Neither has a free plan |
| Your budget is at the lower end | Neither publishes an entry price; compare quotes |
| You need full article text in the response | Opoint |
| You need years of historical news | Both |
| You need licensed premium or wire content | RavenPack (Bigdata.com) |
| You are wiring news into an LLM agent | RavenPack (Bigdata.com) |
Use case fit: Opoint vs RavenPack (Bigdata.com)
| Use case | Opoint fit | RavenPack (Bigdata.com) fit | Winner |
|---|---|---|---|
| Media monitoring | Strong | Limited | Opoint |
| Risk & compliance | Strong | Limited | Opoint |
| Financial services | Strong | Strong | Both equally |
| Marketing & PR | Strong | Limited | Opoint |
| Research & academia | Limited | Strong | RavenPack (Bigdata.com) |
| AI & LLM apps | Limited | Strong | RavenPack (Bigdata.com) |
Verdict: Opoint vs RavenPack (Bigdata.com)
Opoint (4.2/5) is the stronger overall choice as a news data source. Built as a wholesale feed with heavy non-English and local coverage.
RavenPack (Bigdata.com) (3.9/5) is worth a look if you need financial research assistants grounded in licensed news. If your situation matches that, RavenPack (Bigdata.com) is a competitive option.
Related comparisons
Opoint vs RavenPack (Bigdata.com) FAQ
Is Opoint better than RavenPack (Bigdata.com)?
Opoint (4.2/5) scores higher overall, but "better" depends on your use case. Opoint's strongest advantage: about 60% non-English coverage is unusually strong for Europe, Asia and Africa. RavenPack (Bigdata.com)'s strongest advantage: point-in-time sentiment history suits backtesting.
How do Opoint and RavenPack (Bigdata.com) differ in pricing?
Opoint: custom licence, priced by quote. RavenPack (Bigdata.com): enterprise subscription; per-token content licensing, priced by quote. Neither offers free access.
Which is better for enterprise: Opoint or RavenPack (Bigdata.com)?
Both sell enterprise contracts. RavenPack (Bigdata.com) carries licensed publisher content, which matters for legal review.
What are the main differences between Opoint and RavenPack (Bigdata.com)?
What sets Opoint apart: built as a wholesale feed with heavy non-English and local coverage. What sets RavenPack (Bigdata.com) apart: two decades of entity-level news sentiment built for trading signals. They also differ on entry price (Custom quote vs Custom quote) and typical uses (Media monitoring, Risk & compliance vs Financial services, Research & academia).
Verify all details directly with each API before making a decision.