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Well-documented API: Users have praised People Data Labs for providing a well-documented API that is relatively easy to use. Several …
Starting at $99 per month For volumes from 1,000 to 25,000 monthly credits
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What is People Data Labs?
People Data Labs headquartered in San Francisco builds B2B data for developers, engineers, and data scientists.They help clients to build and scale innovative data-driven products using 2.5 billion unique, B2B records. Clients can use data to build person profiles, enrich…
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Professional
$99
Cloud
per month For volumes from 1,000 to 25,000 monthly credits
Enterprise
Custom
Cloud
Entry-level set up fee?
- No setup fee
For the latest information on pricing, visithttps://www.peopledatalabs.com/pricing
Offerings
- Free Trial
- Free/Freemium Version
- Premium Consulting/Integration Services
Starting price (does not include set up fee)
- $99 per month For volumes from 1,000 to 25,000 monthly credits
Product Details
- About
- Tech Details
What is People Data Labs?
People Data Labs builds B2B data for developers, engineers, and data scientists.They help clients to build and scale innovative data-driven products using 2.5 billion unique, B2B records. Clients can use data to build person profiles, enrich person records, power predictive modeling, drive artificial intelligence, and build new tools. They help data science and engineering teams building the next generation of data-driven products and services, offering a single source of truth in B2B data serving enterprise and startup clients across a range of data-enabled businesses.
Data types include Person Data and Company Data. Person Data can be used for 1:1 matching and identification. Company Data can be used for competitive intelligence, investment signals, or to gain an understanding of the internal structure of companies.
Some use cases:
Data types include Person Data and Company Data. Person Data can be used for 1:1 matching and identification. Company Data can be used for competitive intelligence, investment signals, or to gain an understanding of the internal structure of companies.
Some use cases:
- Sales & Marketing - Curate custom audiences, generate targeted lead lists, and enrich signups to optimize the sales funnel.
- Talent Acquisition - Source hard-to-find talent and enrich candidate profiles to build out a data-driven hiring pipeline.
- Identity Risk - Establish robust verification processes by cross-referencing identities against the datasets.
- Research - Explore real-world trends to generate proprietary signals and uncover high-value opportunities.
People Data Labs Video
Augmenting Software with Data Enrichment
People Data Labs Technical Details
| Deployment Types | Software as a Service (SaaS), Cloud, or Web-Based |
|---|---|
| Operating Systems | Unspecified |
| Mobile Application | No |
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Community Insights
TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!
- Pros
- Cons
Well-documented API: Users have praised People Data Labs for providing a well-documented API that is relatively easy to use. Several reviewers have expressed appreciation for the clear instructions and guidance available, making it easier for them to integrate and utilize the data effectively.
Valuable Elastic search queries: Many users have found Elastic search queries to be a valuable feature of People Data Labs. They appreciate how this functionality allows them to perform finely tuned searches within the database, enabling more accurate and targeted results when retrieving information.
Game-changing Company Insights endpoint: Reviewers are excited about the upcoming Company Insights endpoint offered by People Data Labs. This new feature has been described as a game-changer for data analysis, particularly in understanding a company's health and growth. Users anticipate that this endpoint will provide valuable insights that can drive strategic decision-making.
Duplicates in the Dataset: Some users have expressed concern about a significant number of duplicates in the dataset, which has impacted the accuracy and reliability of the data.
Inaccuracies from Reliance on LinkedIn: Reviewers have pointed out that relying heavily on LinkedIn for data without cross-checking information with other public sources has led to inaccuracies. For example, random LinkedIn profiles claiming to be company CEOs when they don't match other sources can create inconsistencies.
Limitations in Data Coverage: Users have mentioned that the absence of individuals who are not on LinkedIn from search results or employee counts limits the completeness of the data. This restricts their ability to access comprehensive information and may result in incomplete analyses.