Captain Data Review

Captain Data is positioned as “The 1st Intent Data API”, focusing on real-time B2B data for sales intelligence, AI agents, and revenue operations. Instead of selling static contact databases, it offers APIs that discover and enrich buyer profiles, company data, and behavioral signals directly from the web.

The platform targets builders: SaaS product teams, AI tool developers, and operations leaders who want to embed data into their own products and workflows. By unifying multiple data sources and actions into a single API, Captain Data aims to become a new source of truth for buyer intent data.

From the homepage, the product narrative is clear: supercharge sales intelligence with data that uncovers buyer profiles, connections, and signals at scale and in real time. The emphasis is on scalability, automation, and safe, compliant data collection rather than manual scraping or fragmented enrichment tools.

Captain Data’s core promise is one unified API that aggregates buyer profiles, company data, and behavioral signals into a single, developer-friendly model. This is designed to eliminate the need to stitch together multiple enrichment tools, scrapers, and data providers.

The platform focuses heavily on real-time intent data, arguing that traditional databases are “dead” compared to live signals from social networks, job boards, and other web sources. For teams building sales SaaS products or AI agents, this means they can plug in a single API to power prospect discovery, enrichment, and engagement.

Another key part of the value proposition is operational efficiency: Captain Data emphasizes saving “hundreds of thousands of dollars” in development by providing pre-built workflows, smart limits, and white-glove support. In practice, this makes it attractive for teams that want robust web data capabilities without maintaining their own scraping and enrichment infrastructure.

Captain Data is built around several specialized APIs. The Buyers Profile API includes a People Profile API, Company Profile API, and Buyer’s Ecosystem API, allowing you to discover and enrich individuals and companies, plus map their connections and followers. These APIs return structured attributes like roles, emails, skills, firmographics, and growth indicators.

The Signals API focuses on behavioral and intent signals such as career changes, job ads, social engagement, and online reviews. Dedicated signal types include Career Signals, Social Signals, and Review Signals, which can track job changes, new connections, content engagement, and reviews from platforms like Google Maps, TripAdvisor, and Trustpilot. This gives revenue teams a way to monitor buying signals across thousands of accounts automatically.

On top of data, Captain Data offers an Engagement API that lets users interact with professional networks at scale, including messaging, connection workflows, and content engagement. Under the hood, the platform provides multi-source data extraction, concurrency up to around 40 requests per second, smart limits to keep activity safe, and scalable dataset exports for millions of records. Together, these capabilities make it suitable for powering sales SaaS products, AI agents, and complex revenue operations workflows.

Captain Data uses a credit-based pricing model that scales with usage rather than fixed user seats. Pricing is split into two main categories: enriching people and companies, and monitoring buyer intent signals. You can adjust sliders on the pricing page to estimate monthly costs based on the number of records or entities you process.

For data enrichment and collection, a Bronze tier example shows 2,500 credits at a rate of €39.99 per 1,000 credits, resulting in an estimated €99.98 per month when billed annually. Most operations cost 1 credit per record, while more complex searches add fractional credits per result. This tier includes real-time API automations and access to all data types.

For intent monitoring, another example highlights a Titanium tier where 1,500 entities to monitor translate to 7,500 credits, with a discounted rate of €1.49 per 1,000 credits. The page also references support levels from Bronze up to Titanium, with higher tiers including priority support, dedicated account managers, and custom SLAs. Overall, pricing is transparent at the credit level but still requires estimation for larger-scale or enterprise deployments.

Captain Data showcases several customer testimonials from SaaS founders and revenue leaders who embed the APIs into their products. One testimonial from Thibault, CEO and Co-Founder at Humanlinker, describes how a generative AI platform for sales relied on Captain Data to implement a crucial data enrichment strategy in just two days and roll it out to over 500 users. This highlights the platform’s speed of integration and scalability.

Another testimonial from Anis, CEO and Co-Founder at Attention, explains that Captain Data is used inside both Clay and their own product to run an in-product referral program, while also feeding intents and contacts into their enrichment engine. It is stated that scaling their go-to-market strategy would not have been possible without this data infrastructure. Guillaume, COO and Co-Founder at Zeliq, notes that an all-in-one prospecting suite was able to let every user search, enrich, engage, and capture interactions across multiple channels thanks to Captain Data.

A long-term partnership is also mentioned by Guy, CEO and Co-Founder at Aptiv.io, who reports that since 2021 they have used Captain Data to build an automated network sales platform. They started by syncing professional connections and later integrated full engagement sequences using pre-built workflows. Overall, the testimonials emphasize reliability, automation at scale, and the ability to ship complex sales features faster.

Captain Data stands out for its developer-first approach and breadth of APIs covering people, companies, and signals. For teams building sales SaaS products or AI agents, the ability to plug in one API and get unified, real-time intent data is a strong differentiator. The platform’s focus on concurrency, smart limits, and SOC 2 Type II plus GDPR compliance also makes it suitable for enterprise-grade use cases.

However, the product is clearly optimized for technical and operations-heavy teams rather than casual users. The credit-based pricing model, while flexible, can feel complex for smaller teams that just want straightforward lead lists or simple enrichment. In addition, fully realizing the value of the platform usually requires engineering resources to integrate APIs and design workflows.

Compared to traditional data providers, Captain Data offers more dynamic and customizable data, but it does not replace the need for a clear go-to-market strategy or strong content and messaging. It shines when embedded into existing products and revenue engines, not as a standalone prospecting tool. For teams that primarily need to create content and build a personal brand on LinkedIn, a tool like PostFlow may deliver faster, more tangible outcomes with far less setup.

Captain Data is a strong fit for B2B SaaS teams, AI tool builders, and revenue operations leaders who need real-time intent data embedded directly into their products and workflows. Its unified API, rich set of enrichment and signal actions, and robust infrastructure make it far more than a simple scraping tool. The platform is particularly compelling when you want to power features like in-app enrichment, AI-driven recommendations, or automated outbound sequences.

On the downside, the complexity of credits, API integration, and advanced workflows means it is not ideal for solo founders or marketers who lack technical support. Those users may find more immediate value in tools that focus on content creation and distribution rather than raw data infrastructure. Still, for organizations that can invest in integration, Captain Data can become a strategic data layer that underpins modern sales and AI experiences.

Overall, Captain Data earns a strong rating for its innovation in intent data and its clear focus on builders. It is best viewed as a long-term infrastructure investment rather than a quick tactical tool. If your main goal is to generate demand through LinkedIn content rather than building data-heavy products, pairing or even replacing it with a solution like PostFlow could be a smarter move.