People Data Labs Pricing

Last verified: May 2026. People Data Labs pricing is public and updated on the vendor's own pricing pages. ZoomInfo pricing is consumption-based; see the canonical ZoomInfo pricing note below.

If you have navigated People Data Labs' credit-based pricing, tried to figure out whether 100 free monthly credits are enough to evaluate the data, wondered what "per-match" means when contact fields are obfuscated on the free plan, and calculated whether your enrichment volume justifies a $100/month minimum, you already know that data infrastructure pricing can feel like buying a house based on the floor plan alone.

People Data Labs (PDL) has built one of the largest B2B person datasets available, with 1.5 billion unique profiles and 74 million+ company records accessible through a developer-first API. PDL has received top recognition from SourceForge across over 60,000 evaluated products, with customer logos including S&P Global, Clay, HireEZ, Anaconda, and Insight Partners. PDL targets a specific buyer: engineers, data scientists, and product teams building data-driven applications. It sells the raw material, not the finished product. That positioning creates a pricing structure that rewards technical sophistication and punishes casual evaluation, with obfuscated contact fields on the free tier, unpublished per-credit costs on Pro, and a $100/month minimum just to see actual email addresses and phone numbers.

PDL's pricing model works if:

• You are building a data product and need bulk access to person or company records via API

• Your team has engineers who can integrate raw data into proprietary pipelines

• You want per-match pricing so you only pay when a lookup returns a result

• You need data delivered into Snowflake, Databricks, or cloud storage for warehouse-native workflows

• Your use case is developer-centric: powering an AI recruiting tool, enriching a CRM programmatically, or training ML models

PDL's pricing model is likely not a good fit if:

• You need a ready-to-use GTM platform, not raw data APIs

• Your team includes sellers, marketers, or RevOps people who need a search interface and workflow tools

• You want intent signals, conversation intelligence, or buying-group identification alongside your data

• You need AI-drafted outreach, account prioritization, or deal intelligence built in to a GTM platform

• You are looking for a single platform that covers prospecting, engagement, and analytics

In that case, consider ZoomInfo: an all-in-one AI GTM Platform built on 500M contacts, 100M companies, 135M+ verified phone numbers, and 200M+ verified business emails, with intent data, GTM Context Graph intelligence, and native interfaces for sellers and marketers alongside full API and MCP access.

Evaluating your options? Talk to someone to learn more about how ZoomInfo can help you.

Quick Answer: How Much Does People Data Labs Cost?

People Data Labs offers three plan types, with separate pricing for Person data and Company data:

• Free: $0/month. Up to 100 monthly records. Contact fields (emails, phones) are returned as True/False flags, not actual values. No credit card required. Sandbox APIs available at zero credit cost.

• Pro (Person Data): Starting at $98/month. Begins at 350 monthly records. Full contact field access, 1,000 free Search credits/month, and volume discounts at higher tiers. Annual billing saves 20%.

• Pro (Company Data): Starting at $100/month. Begins at 1,000 monthly records. Full firmographic data, headcount insights, bulk endpoints.

• Pro (IP Enrichment): Starting at $95.40/month. Begins at 1,325 monthly credits ($0.072/profile). Resolves IPv4/IPv6 addresses to company, person, and location metadata for website-visitor identification workflows.

• Enterprise: Custom pricing. Minimum 100,000 annual credits for Person APIs, 400,000 for Company APIs. Data License Feeds available via AWS S3, Snowflake, GCP, Azure, or direct download.

• Free trial: 30-day trial with 500 API credits available on supported products for qualified accounts.

Per-credit pricing on the Pro plan is volume-tiered but not published on the pricing page. You see the minimum floor ($98/mo or $100/mo) before you can see per-credit costs. The full rate structure is in PDL's support documentation.

People Data Labs Pricing: In-Depth Overview

People Data Labs operates on a credit-based, usage-based pricing model with one core principle: you pay per match, not per request. If an API call does not return a profile, you are not charged.

Credits are the currency across all endpoints, with person data and company data priced separately. The platform offers three plan types (Free, Pro, Enterprise) with volume-based pricing tiers within Pro. Per-credit costs are not published on the public pricing page, so you cannot evaluate total costs without committing to a plan or contacting sales.

People Data Labs Free Plan: 100 Credits/Month

The free plan lets you test PDL's matching accuracy and data structure, but with a significant constraint: contact data fields including work email, personal emails, phone numbers, and granular location data are returned as True/False flags rather than actual values.

You can confirm that a record has an email address, but you cannot see what it is. The free tier is useful for evaluating data coverage and schema structure, but not for judging whether the contact information you would be paying for is accurate or fresh.

PDL also offers a 30-day free trial with 500 API credits on supported products. This gives a better signal than the permanent free tier because contact fields are not obfuscated during the trial.

The Bottom Line: The free plan works for developers evaluating PDL's data schema and match rates, but you cannot judge contact data quality without upgrading to Pro or using the 30-day trial.

People Data Labs Pro Plan: Starting at $98-$100/Month

Pro is where PDL becomes usable. The minimum monthly spend unlocks actual contact data (emails, phone numbers, addresses) and raises rate limits to 1,000 requests per minute. The plan includes 1,000 free Person Search credits monthly.

The Pro plan uses three volume-based pricing tiers where the per-credit cost drops with higher volume:

Annual billing converts monthly minimums to annual commitments at a 20% discount. Above 100,000 credits, PDL directs you to enterprise sales.

The Bottom Line: Pro is the real starting point for teams building on PDL data, but the unpublished per-credit pricing structure makes cost forecasting difficult without additional research into PDL's support documentation.

People Data Labs Enterprise Plan: Custom Pricing

Enterprise is designed for platform companies and data teams that need the full dataset on their own infrastructure. Data License Feeds provide bulk access through cloud delivery, and PDL positions this as infrastructure-grade data for builders embedding it as a core dependency.

Enterprise also unlocks Targeted Profile Updates, a premium add-on guaranteeing 30-day refresh cycles for priority profiles.

The Bottom Line: Enterprise makes sense for platform companies embedding PDL as a core data dependency, but the custom pricing and sales process add friction for teams that want to start quickly.

IP Enrichment Pricing

PDL prices IP Enrichment separately from Person and Company data:

The IP Enrichment API resolves IPv4 and IPv6 addresses to company, person, and location metadata, and detects mobile, hosting, proxy, Tor, VPN, and relay traffic. Teams using PDL for website-visitor identification (routing anonymous traffic to company accounts for ABM or sales follow-up) need to budget for this as a third credit pool alongside Person and Company data.

Credit Mechanics and Hidden Costs

Understanding how credits work is essential for forecasting PDL costs:

Additional cost considerations teams frequently miss:

• Rollover credits carry over up to 100% of the next period's allocation. Excess is forfeited.

• Once credits run out, all requests return 402 errors, stopping your pipeline until the next billing cycle or a top-up purchase.

• Data License Feeds are separately priced from the credit system and require enterprise agreements.

• Person data and Company data are priced separately. Teams using both datasets pay for two credit pools.

• IP Enrichment is a third credit pool with its own pricing tier structure.

• All sales are final with no refunds unless otherwise agreed in writing.

• The Person Identify API ($0.55/credit) is priced roughly double the Enrichment/Search per-credit rate, which can surprise teams using entity resolution at scale.

Where People Data Labs Falls Short

People Data Labs offers a large, well-structured dataset for technical builders, but its data-only positioning creates specific gaps for teams that need to act on data, not just access it.

No Native User Interface

PDL runs entirely on APIs and data feeds. Sales reps, recruiters, or marketers who need to search, filter, and export contacts through a point-and-click interface cannot use PDL directly. Teams without engineers must rely on products built on top of PDL (such as Clay or HireEZ) or build their own front-end, adding cost and development time that is not reflected in PDL's published pricing.

No Intent Data or Buying Signals

PDL provides static person and company records but does not offer buying intent signals such as web research activity, ad engagement, or content downloads. Teams can see who someone is and where they work, but not whether their company is actively evaluating solutions. This limits PDL's value for sales prospecting and ABM campaigns where timing matters as much as targeting.

No Email Deliverability Validation

PDL provides email addresses but does not validate whether they will deliver. Bounce detection requires a third-party integration such as Bouncer. Teams must add another vendor and another cost layer to ensure the contact data they are paying for will not damage their sender reputation.

Opaque Pricing Structure

Per-credit costs are not published on the pricing page. Teams cannot calculate costs until they reach the paid dashboard or read through PDL's support documentation. Person and Company data are priced separately, IP Enrichment is a third pool, and Data License Feeds carry separate enterprise pricing. Forecasting total costs for a multi-product PDL implementation requires multiple conversations and careful documentation review.

No MCP Server or Agent-Framework Integration

As of 2026, PDL has no published MCP (Model Context Protocol) server and no native integration with agent frameworks such as LangChain or LlamaIndex. For developers building AI agents or agentic workflows that need real-time B2B data retrieval, PDL requires building and maintaining a custom integration layer. This is a meaningful gap as AI-native GTM workflows become standard: the ability to call verified B2B data directly from an agent context without managing credentials and API wrappers is now table stakes for the developer ICP.

These gaps have led many go-to-market teams to explore platforms that combine data with intelligence, execution tools, and agent-ready access layers. For a full comparison of PDL and alternatives, see People Data Labs Alternatives: From Raw Data APIs to Complete GTM Platforms.

Best People Data Labs Alternative: ZoomInfo

ZoomInfo is an all-in-one AI GTM Platform built on a B2B dataset of 500M contacts, 100M companies, 135M+ verified phone numbers, 120M direct-dial phone numbers, and 200M+ verified business email addresses.

That data feeds ZoomInfo's GTM Context Graph: an intelligence layer at gtm.ai that unifies your CRM records, conversation transcripts, and behavioral signals with the 1.5B+ data points ZoomInfo processes daily. The result: the AI drafting your next email follow-up understands the concern behind the conversation, your next GTM play targets accounts matching your actual win patterns, and your forecast reflects buying evidence rather than rep optimism.

ZoomInfo's data is verified through a multi-source pipeline backed by 300+ human researchers achieving up to 95% accuracy on first-party data. In a Fortune 500 competitive RFP analyzing 25 million contacts across vendors, the independent consultant concluded that "no other competitor came even close."

Your team can use this intelligence through the GTM Workspace for sellers, GTM Studio for marketers and RevOps, or APIs and MCP in any front-end or AI agent.

For developers and data teams specifically: ZoomInfo's MCP server is published and listed in the Claude/Anthropic tool marketplace, giving AI agents direct, authenticated access to verified B2B contact and company data without managing custom API wrappers. This is the access-lane gap PDL does not close: PDL requires building and maintaining a custom integration layer for every agent or AI workflow; ZoomInfo MCP plugs directly into Claude, custom agents, and any MCP-compatible framework.

MarketSpark, a cybersecurity company, grew revenue opportunities 5x using ZoomInfo's Company Data Cube with S3 integration for their data warehouse workflows. Capital One integrated ZoomInfo's Data Cube with Salesforce to automate firmographic enrichment and lead building across 150+ company attributes at enterprise scale.

ZoomInfo pricing is consumption-based: free to start with consumption credits based on usage. ZoomInfo Lite is permanent and free with no credit card required.

ZoomInfo Lite: $0/Month (Permanent Free Tier)

Unlike PDL's free tier where contact data is obfuscated, ZoomInfo Lite provides actual contact information with 10 monthly export credits. The Chrome extension enables contact lookups while browsing LinkedIn or company websites, and WebSights Lite reveals up to 10 website visitors per day.

ZoomInfo Sales Professional, Advanced, and Enterprise: Custom Pricing

ZoomInfo's paid plans are custom-quoted based on team size, use case, and data volume. ZoomInfo pricing follows a consumption-credits model and does not publish per-seat tiers. The correct canonical statement: free to start with consumption credits based on usage.

• Sales Professional: Contact and company search, 120M direct-dial phone numbers, 200M+ verified business emails, CRM integrations (Salesforce, HubSpot, native), AI-powered email generation. Full search interface for non-technical users.

• Sales Advanced: Adds Buyer Intent signals (identifying companies actively researching your solution), website visitor tracking via WebSights (210M IP-to-Organization pairings), and automated GTM plays. Guided Intent, exclusive to ZoomInfo, identifies topics correlated with your actual closed-won deals.

• Sales Enterprise: Adds real-time intent signals, AI account summaries powered by the GTM Context Graph, dedicated CSM, and full API and MCP access. Technical teams get programmatic access comparable to PDL's API layer, plus the intelligence and agent-ready access layer PDL does not offer.

Ready to see what ZoomInfo can do for your team? Talk to someone to learn more.

People Data Labs vs. ZoomInfo: Feature Comparison

Decision Matrix: Choose People Data Labs or ZoomInfo

Choose People Data Labs if:

• Your primary buyer is an engineer or data scientist building a product on raw B2B data

• You need maximum API flexibility and multi-cloud warehouse delivery (Snowflake, S3, Azure, GCP, Databricks)

• Your use case is HR Tech, investment research, or AI talent matching where PDL's data breadth and SDK coverage matter

• Per-match pricing is important for your cost model and you have engineering capacity to build around the API

• You do not need seller-facing workflows or intent signals

Choose ZoomInfo if:

• Your go-to-market team needs data, intelligence, and execution tooling in a single platform

• You want intent signals to identify in-market buyers and prioritize outreach timing

• Your sellers, marketers, or RevOps team need a search interface without building custom tooling

• You need MCP-accessible data for AI agents and agentic GTM workflows in 2026

• Data accuracy and multi-source verification matter at enterprise scale

• Your team includes non-technical users alongside developers

For a deeper look at PDL compared with other API-first data providers, see the People Data Labs Review 2026 and the Clearbit vs. People Data Labs comparison.

People Data Labs Pricing FAQ

Is People Data Labs free to use?

Yes. People Data Labs offers a permanent free plan with 100 credits/month, but contact fields such as email addresses and phone numbers are returned as True/False flags, not actual values. Seeing real contact data requires a Pro plan starting at $98-$100/month. PDL also offers a 30-day free trial with 500 API credits on supported products, which provides a clearer evaluation window than the permanent free tier. ZoomInfo Lite, by contrast, provides actual contact information on its permanent free tier with 10 monthly export credits.

How much does People Data Labs cost per record?

PDL charges 1 credit per successful enrichment or search call, but per-credit pricing is not published on the pricing page. For Person data on a monthly Pro plan, Tier 1 is $0.28/credit for 350-2,500 credits; Tier 2 is $0.265/credit for 2,501-5,000 credits; Tier 3 is $0.25/credit for 5,001-8,333 credits. Company data starts at $0.10/credit. The Person Identify API costs $0.55/credit (separately priced from Enrichment/Search). Teams spending above 100,000 annual credits must contact sales for enterprise pricing.

Do People Data Labs credits expire?

Unused credits carry over up to 100% of your next period's allocation. Any credits beyond that rollover cap are forfeited. If your credits run out mid-period, all API requests return 402 errors until you purchase more or the next billing cycle begins, which can stop automated pipelines without warning.

Does People Data Labs validate email deliverability?

No. PDL provides email addresses but does not validate whether they will deliver. Teams must integrate a third-party service such as Bouncer for bounce detection and sender reputation protection. ZoomInfo verifies email addresses through its own multi-source verification pipeline, with 200M+ verified business email addresses backed by continuous validation.

Does People Data Labs have an MCP server?

No. As of 2026, PDL has no published MCP (Model Context Protocol) server and no native integration with Claude, LangChain, LlamaIndex, or other agent frameworks. Developers building AI agents that need real-time B2B data retrieval must build and maintain a custom integration layer. ZoomInfo's MCP server is published, listed in the Claude/Anthropic tool marketplace, and gives AI agents authenticated, production-ready access to verified B2B data. This is a meaningful gap for teams building agentic GTM workflows in 2026.

Which is better for sales prospecting: People Data Labs or ZoomInfo?

ZoomInfo is the right choice for sales prospecting. It provides a native search interface, 210M+ intent signal pairings to identify in-market buyers, AI-drafted outreach and deal intelligence via GTM Workspace, and native CRM integrations with Salesforce, HubSpot, and others. PDL provides raw data for building custom prospecting tools but offers no prospecting workflow, no intent data, no email deliverability validation, and no engagement features. Sales teams that want to prospect immediately should use ZoomInfo; teams building developer-facing products on top of raw B2B data should evaluate PDL.

More People Data Labs comparisons and guides

If you're interested in reading more, you might like:

• 6 People Data Labs Alternatives: From Raw Data APIs to Complete GTM Platforms (2026)

• Clearbit vs. People Data Labs (vs. ZoomInfo): Which B2B Data Platform Fits Your Needs in 2026?

• People Data Labs Review 2026: Is This B2B Data Infrastructure Right for You?