MoltSets vs People Data Labs: Which Developer Data API Fits?

MoltSets and People Data Labs are both developer-first B2B data APIs with no sequencer, but they are priced and built for different jobs. MoltSets sells flat monthly plans from $27, capped by rolling 5-hour and weekly windows, and ships a native MCP server for AI agents. People Data Labs (PDL) sells credits from $98 a month for 350, covers a wider workforce dataset with flexible Elasticsearch and SQL search, and licenses bulk data to enterprises, so pick MoltSets for cheap contact enrichment in agents and scripts and PDL for deep person and company data inside a product or data warehouse.

For the full breakdown of the first tool, read our MoltSets review. Some tool links here are affiliate links (disclosure).

Nerdy Joe is a MoltSets affiliate. We have no relationship with People Data Labs. We have not tested either API hands-on; every fact comes from each vendor's own pages and docs, read on November 9, 2026, with sources at the end.

MoltSets vs People Data Labs: the short answer

Best for outbound teams, agencies and AI-native founders: MoltSets. It returns work emails with a send-safety grade, carrier-verified mobiles and US personal emails at a flat price, and it plugs into Claude, ChatGPT and Cursor through MCP.

Best for product teams, data teams and HR tech: People Data Labs. It offers person, company and job posting datasets, flexible query languages, SDKs and data license feeds through AWS, GCP, Snowflake and Databricks.

Use both if you build a product on PDL's broad profile data but need a cheaper way to get send-ready emails for outreach.

What each product is built to do

MoltSets: contact data for outbound and agents

MoltSets describes itself as a B2B search and enrichment service that returns emails, carrier-verified mobile numbers and company data, with "no UI." Its tools turn a LinkedIn URL into a work email, a personal email (US only) or a mobile number, reverse-look up an email, match an IP to a company, and create hashed emails and mobile ad IDs for ad audiences. Its FAQ names LeadGen agencies, AI-native founders, RevOps teams, individual reps and AI agents as the audience.

The design goal is plain: send-ready contact data, delivered to wherever your agent or script already runs. You can try MoltSets on the free tier with no card.

People Data Labs: a workforce dataset for builders

PDL calls itself a B2B data provider of person, company and job posting datasets, delivered through APIs and data license feeds. Its stated mission is to build "the world's most complete workforce dataset," and its homepage names HR tech, sales and marketing, and investment research as audiences. It says its company dataset covers over 70 million companies, and its job posting dataset is in beta and refreshed daily.

PDL's documentation lists Person Enrichment, Person Search, Person Identify, Company Enrichment, Company Search, Job Title Enrichment, Autocomplete, Cleaner, IP Enrichment and Job Posting Search APIs. Its official site is peopledatalabs.com. The breadth is the point: PDL is often the raw material other data tools and products are built on.

Pricing compared (as of November 2026)

MoltSets pricing

MoltSets calls these plans "unlimited data," but the 5-hour and weekly caps are the real limits. Mobile numbers are extra at $0.15 each through a separate monthly token subscription. Our MoltSets pricing guide covers every plan and add-on.

People Data Labs pricing

PDL says annual Pro commitments save 20% and that volume discounts trigger as usage grows. Its pricing page does not publish a per-credit rate, rollover rules or overage terms.

Cost per lookup, side by side

These numbers are not a like-for-like comparison. PDL's docs say a matched person record can include names, addresses, employment information and social media accounts, while a MoltSets enrichment record is aimed at a usable email or phone.

If you need contact data for outreach, MoltSets is far cheaper per contact. If you need rich profiles to power a product, the comparison shifts toward PDL's depth.

How each one meters usage

This is where the two APIs differ most in day-to-day engineering.

MoltSets: rate windows

• Records are deducted only on a positive response; requests are deducted whether or not a contact comes back.
• Request caps are 5x the 5-hour record cap, and windows roll from your first request.
• Limits are per account and shared across every API key and connector.
• Exceeding them returns HTTP 429 with codes such as fair_use_limit_exceeded and rate_limited.
• Search returns at most 25 results per call, with 3 to 8 concurrent searches by plan.

People Data Labs: credits and per-minute limits

• PDL's Person Enrichment docs say "We charge per match." A match returns 200 and no match returns 404.
• You can raise the bar for a match with min_likelihood (an integer from 1 to 10) and a required parameter, such as requiring that a profile has emails or phone numbers.
• Default enrichment rate limits are 100 requests per minute for free customers and 1,000 for paying customers. PDL says bulk enrichment can raise throughput "by up to a hundred times."
• Person Search charges "per record retrieved," with a size of 1 to 100 records per request and a default of 10 requests per minute.

The practical upshot: PDL gives you precise control over what counts as a billable match. MoltSets gives you a predictable flat bill with throughput set by your plan's windows.

Search and query flexibility

PDL's Person Search accepts either an Elasticsearch v7.7 query or a SQL statement in the form SELECT * FROM person WHERE. Pagination uses a scroll_token with no record cap, and you can choose which datasets to search, such as resume, email, phone or mobile_phone. That is a powerful tool for data teams who want to write precise queries.

MoltSets' search_people uses fixed filters instead: title, company, company domain, country, state, city, seniority, industry (22 buckets), department or functional area, employee range, revenue range, NAICS code and LinkedIn industry, plus exclusions. Positive filters accept lists, and search_linkedin_profile with count_only returns match counts without charging.

It is simpler and easier for an agent to call from a plain-English prompt, but less flexible than a query language. Our MoltSets API guide lists every tool and filter.

Developer experience: MCP vs classic API

If your workflow lives inside Claude, Claude Code or Cursor, MoltSets' native MCP server is the shortest path. You connect once with OAuth and the agent can search and enrich without any glue code. Our MoltSets MCP server guide shows the setup.

If you are wiring data into your own app, PDL's SDKs, query languages and Postman collection are the more familiar developer toolkit. MoltSets' own blog claims PDL has no official MCP server; we could only confirm that none is mentioned on PDL's pricing page, homepage or API introduction.

Licensing and data terms

Licensing matters most if you plan to build a product on the data.

• MoltSets' terms bar resale or redistribution of the service or its output data, with exceptions for approved customer products and agency delivery to clients. They also bar building a competing product, using data for FCRA purposes and sharing credentials. MoltSets updated its terms in October 2026 to allow agencies to use it for clients.
• MoltSets flat files (CSV, TSV, Parquet or JSONL via S3, GCS, SFTP or signed link) are custom-quoted per record, billed outside any plan.
• PDL Enterprise includes data license feeds delivered via AWS, GCP or Snowflake, plus Snowflake and Databricks data sharing. Specific license terms were not on the pages we read, so check PDL's contract.

If your plan is to embed contact data in software you sell, read both vendors' terms with counsel. PDL's business model is built around licensing; MoltSets' terms start from no resale and carve out exceptions.

Data quality and compliance

MoltSets attaches an A to F risk score and a last-validated date to every email, drops addresses that fail validation, and says mobiles are carrier-verified within the last 90 days. It does not publish a database size or accuracy percentage, and its FAQ asks users to run their own comparison. MoltSets claims SOC 2 Type 1, SOC 2 Type 2 and CCPA compliance and is hosted in the United States.

PDL says it is SOC 2 Type 2 and ISO 27001 compliant and describes "compliant data sourcing." It offers a Preview Enrichment API that shows which fields have data for a person, which helps you check coverage before you spend credits, and its Enterprise plan lists "formal data testing." We found no deliverability grade for emails on the pages we read, so plan to verify PDL emails before cold sending; our list of the best email verification tools covers options.

When to choose which

Choose MoltSets if:

• You want send-ready work emails and mobiles for outbound at a flat price.
• You work in Claude, ChatGPT, Cursor or Clay and want a native MCP connector.
• You need contact data on a free tier to test before paying.
• You enrich CSVs on a schedule and want a CLI that resumes and respects limits.

Choose People Data Labs if:

• You are building a product that needs rich person, company or job posting data.
• Your team wants Elasticsearch or SQL search with scroll pagination.
• You need bulk data delivered to a warehouse via AWS, GCP, Snowflake or Databricks.
• You want ISO 27001 alongside SOC 2, or an annual Enterprise contract with SSO.

Use both if:

• PDL powers your product's profiles and you want a cheaper way to pull outreach-ready emails with a send grade.
• You run outbound for clients and need MoltSets' low unit cost for contacts and PDL's depth for research.

For more options on the outbound side, see our roundup of the best B2B data providers and our guide to verified lead lists for agencies.

Limits worth knowing on each side

• MoltSets has no UI, no bounce guarantee and no published database size or accuracy rate.
• MoltSets' Solo plan caps you at 5,000 enrichment records a week, mobiles cost extra, and payments are nonrefundable.
• MoltSets has very few public reviews so far, and its email validation and web scraping add-ons are not live.
• PDL's free plan obfuscates emails, phones and addresses, so you cannot test contact data without paying.
• PDL's pricing page does not define a credit, publish a per-credit rate or describe rollover.
• PDL's default Person Search limit is 10 requests per minute.

Our take

For outbound, MoltSets is the more practical buy. It costs a fraction of PDL per contact, returns emails with a send grade, and connects to AI agents natively. Start with MoltSets' free lookups, test a few hundred known contacts, and move to Solo or Pro once you know your weekly volume.

The full MoltSets review covers every cap and add-on.

For product and data teams, PDL is the stronger fit. Its query languages, dataset breadth and data licensing are built for engineers who need workforce data as an input, not a lead list. If that is your use case, MoltSets is still worth a look as a cheap outreach layer on top.

Check MoltSets' current plans when you are ready to size it.

Rather not build the list yourself?

Nerdy Joe is owned by Agency Growth Partners (AGP), and AGP builds verified lists and runs outbound for agencies. If you would rather hand off the data work and the sending, book a call with David.

Verdict

MoltSets vs People Data Labs is a choice between contact data for outreach and workforce data for products. MoltSets wins on price, free-tier contact data and MCP support; PDL wins on dataset breadth, query power and licensing. If you are sending cold email, try MoltSets first and read our MoltSets review before you upgrade.

Sources

• MoltSets homepage
• MoltSets pricing
• MoltSets FAQ
• MoltSets Fair Use Policy
• MoltSets developer docs: rate limits
• MoltSets developer docs: llms.txt
• MoltSets developer docs: API reference
• MoltSets developer docs: email risk scores
• MoltSets API
• MoltSets MCP server
• MoltSets CLI
• MoltSets for LinkedIn extension
• MoltSets mobile numbers pricing
• MoltSets GTM Skills Library
• MoltSets compliance
• MoltSets privacy policy
• MoltSets terms of service
• MoltSets blog: how to measure contact data accuracy
• MoltSets blog: best enrichment tools for Claude Code and AI agents
• MoltSets changelog
• People Data Labs homepage
• People Data Labs pricing
• People Data Labs person data pricing
• People Data Labs docs: API structure and access
• People Data Labs docs: Person Enrichment API
• People Data Labs docs: Person Enrichment API reference
• People Data Labs docs: Person Search API reference