LoneScale is an API-first people data provider that your engineering team integrates into your own backend services to power live enrichment and people search features.

Your public REST APIs (for your CRM, enrichment tool, ATS, dialer, AI SDR, intent, or contact data platform), internal enrichment workers (Node.js, Python, Java services or serverless functions), and scheduled jobs (for example Airflow or cron-based refresh tasks) send authenticated HTTPS requests to LoneScale’s endpoints with inputs like email, domain, or search filters.

LoneScale then scans 25+ underlying vendors and live web sources, applies waterfall logic and quality checks, and returns a normalized profile per person or company. Each response can include verified email addresses, mobile phone numbers, job titles, company data, and job-change status, with daily refreshes and a 24‑hour SLA for job changes and new hires.

Key features and use cases 

• Waterfall enrichment: Use over 25+ trusted vendors in a single workflow to maximize data accuracy and coverage. Apply custom enrichment logic, set country and segment rules, and manage costs with detailed performance analytics.
• People Profile API: A live people search by job title, persona, or company. Get full contact and company information with reverse email look-up. Data is pulled in seconds with a 99% accuracy rate.
• MQL enrichment (Turn emails into B2B data): Instantly enrich inbound forms, webinar sign-ups, and event leads with 40+ verified fields, auto-qualify or disqualify, score, and route them to the right GTM motion in Salesforce or HubSpot.
• Champions tracking (Job changes): Detect when past customers or product users change jobs, automatically update their new roles, and trigger personalized outreach to re-engage high-intent buyers faster.
• AI research agents: You can deploy no-code AI agents that scan trusted web sources, summarize findings, and push structured insights directly into CRM fields. 
• Chrome extension: Enrich contact information with a single click as you research leads online. Automatically update records in Salesforce and HubSpot while avoiding duplicate contacts.

• Core plan: Starts at $1,000/month. Includes enrichment, job-change, and new-hire tracking, and plug-and-play integrations for Salesforce and HubSpot.
• Team plan: Starts at $2,500/month. Adds higher credit limits, advanced enrichment, and dedicated RevOps support for larger GTM teams.

MixRank maintains large, pre-compiled datasets on companies, people, websites, and technographics, and makes this data available through APIs, bulk file exports, and hosted databases. Product and Data teams typically download MixRank data into their own database, or connect to MixRank’s hosted tables, and then use that data for enrichment, lead scoring, market mapping, or recruiting use cases.

Your backend services (like Node.js, Python, or Java services, or scheduled jobs) send authenticated HTTPS requests to MixRank’s API endpoints, such as /companies or /people, with parameters like company domain, profile URL, or filter conditions. 

MixRank’s API responds with JSON records that contain fields for companies, people, technographics, or historical metrics. Your code then writes those records into your own database, data warehouse, or feature store, or uses them to answer your product’s own API responses.

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Key features and use cases

• Technographic and web data: Get information about which technologies websites use, plus other web-sourced signals, to power ICP definitions, scoring models, or intent-like use cases in your product.
• Historical and growth metrics: Use time-series fields such as employee count trends or social metrics to build growth, health, or risk indicators in your data models.
• Multiple delivery options: Receive data through APIs, bulk file exports, or hosted PostgreSQL tables, so your team can integrate via real-time HTTPS requests or scheduled loads into your database.

MixRank offers multiple pricing structures across its Data Feeds, Data API, and Mobile Apps & SDK products.

• Data API plans: Start at $1,000/month for the Enrich, Match, and Posts endpoints (each includes 100,000 operations). The LiveScan API is priced at $1,500/month for 100,000 scans. Contracts are annual, with monthly credit-card billing available.

• Mobile Apps & SDK plans: Third-party sites like G2 list enterprise plans around $5,000/month, while Software Advice lists a starting price of $24,000/year, though both note that pricing varies by data volume and access type.
• Data Feed plans: Also unlisted publicly, but MixRank’s site outlines People, Company, and Job Posting datasets with hourly updates and API or direct-database delivery. The pricing typically ranges from $1,000–$10,000/month, depending on refresh frequency and dataset scope.

While the pricing plans for the Mobile Apps & SDK and Data Feed aren’t listed publicly, here’s what we found across trusted third-party listings like G2 and Software Advice.

Live Data Technologies provides job-change and employment-status data as an API and as data products, so your team can track who works where, in what role, and when they move. This works well if your product or models depend on workforce signals, like “this C-suite exec just moved” or “this team is shrinking or growing”, for AI recruiting, investor tools, or workforce analytics. 

However, Live Data doesn’t aim to be a complete contact-enrichment provider. It doesn’t specialize in verified business emails, mobile phone numbers, or waterfall-style enrichment across multiple contact vendors.

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Key features and use cases

• Real-time job-change and employment graph: Tracks 160M+ professionals and monitors 16M+ employment check-ins per day, detecting ~400k+ job changes weekly.
• Workforce data API: API gives engineers fast access to names, titles, companies, and work history for ~80M+ verified white-collar professionals.
• Job-change data products for data platforms: Ready-made datasets for Snowflake and Databricks, exposing real-time job-change and employment tables you can join to your own data.

• Moneyball plan: Starts at $99/month. Includes company benchmarking, workforce analysis (arrivals, departures, churn, and tenure), downloadable charts, and head-to-head comparisons for up to 10 companies. Comes with a 30-day free trial.
• Streams plan: Starts at $199/month. Let's you track up to 15 companies with department filters, weekly summaries, and CSV exports of job-change data delivered by email. Includes a free trial option.
• Enterprise Data Platform: Custom pricing. Offers tracking by company, title, department, or 15+ attributes, with full API access, on-call support, custom data delivery, and on-demand reporting.

People Data Labs (PDL) provides large global person and company datasets through Enrichment, Search, and Identify APIs, plus data licenses for cloud and warehouse delivery. PDL works well if your team wants flexible, general-purpose enrichment and is comfortable owning matching logic, quality checks, and how often you refresh records. 

However, its core datasets are typically refreshed on monthly cycles rather than with strict daily SLAs. It also doesn’t provide an out-of-the-box waterfall specifically optimized for maximizing verified mobile phones or job-change detection. So you may need additional vendors or custom logic if your product promises always-fresh contacts or high mobile coverage.

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Key Features and use cases

• Person Enrichment API: Takes inputs such as name, email, phone, company, or social URLs and returns a structured person profile with employment history, education, location, and social handles.
• Company Enrichment API: Enriches companies by name, domain, social profile, ticker, or location and returns firmographic attributes like industry, size, location, and other company metadata.
• Search and Identify APIs: Let you search the person/company datasets with complex filters or identify a record from partial data, to power list-building or in-product search and matching.
• Bulk and data-sharing delivery: Supports bulk enrichment endpoints and data sharing via cloud and warehouse platforms (e.g., Snowflake, data licenses), so teams can work at dataset scale.

• ‍Free plan
• Pro plan: Starts at $98/month for access to the full API suite and 350+ monthly records. Includes contact data, premium fields, and email support.
• Enterprise plan: Custom pricing for bulk data access, API, or Data License feeds, and white-glove support.

Crustdata fetches or refreshes profiles on demand and returns JSON with 90+ people fields and 250+ company datapoints, including work history, social activity, funding, and growth indicators, which your code writes into your own database, warehouse, or product APIs.

This works well if you want live people search and rich context for AI SDRs, outbound personalization, or investment/recruiting tools, and are comfortable owning triggers, retries, and how enriched data appears in your product. 

However, Crustdata doesn’t provide an opinionated waterfall specifically tuned for maximizing verified mobile phone coverage or a packaged “CRM-native” enrichment workflow. So you’ll still need to design your own coverage strategy and, if required, combine it with other providers to reach high phone/email match rates at scale.

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Key features and use cases

• People Enrichment API: Returns 90+ live data points per person (name, emails, social URLs, job title, current company, work history, education, posts, engagement) from inputs like LinkedIn URL, email, or name + company.
• Company and Job Listing APIs: Provide 250+ attributes per company and 30+ fields per job listing, including funding, headcount growth, tech stack, and hiring signals you can use for intent or targeting features.
• Real-time vs cached modes: Lets you choose between live web crawling on each request for maximum freshness, or faster cached enrichment when you need to update many records quickly.
• Watcher API and webhooks: Monitors selected people or companies and sends webhooks when they change jobs, post, or hit defined thresholds, so your systems can trigger updates or outreach automatically.

Crustdata does not provide transparent pricing information on its website. To access details, you need to book a demo and speak with the sales team. No public tiers or credit-based breakdowns are listed on the pricing page. 

However, one YouTube review mentions that paid plans “start around $95/month,” while SaaS directories mention entry-level API access in the sub-$200/month range, with higher tiers and enterprise plans priced via custom quotes. 

But none of these figures are confirmed directly by Crustdata.

RocketReach is positioned first as a prospecting tool and browser-based contact finder, with the API offered as an add-on for teams that want to programmatically pull its email and phone data into existing systems. 

For Product and Data teams, that means RocketReach can work as a simple “contact lookup” backend, but it’s not designed as a full data infrastructure layer. So if your roadmap includes always-fresh views, job-change alerts, or waterfall-style enrichment to maximize mobile coverage, you will quickly run into those limits and likely need a different or additional provider.

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Key features and use cases

• Search-by-persona: Filters for title, seniority, company, industry, and location so you can let users search for likely decision-makers and then expose RocketReach contacts inside your own UI or workflows.
• Email verification and scoring: Built-in deliverability checks and confidence scores to reduce bounces when your product or customers send emails to enriched contacts.
• CRM and tool integrations: Connectors for Salesforce, HubSpot, Outreach, and Salesloft.

All RocketReach plans are billed per user, so additional team members require their own subscriptions.

• Essentials plan (Email Only): Starts at $69/month for one seat. Includes personal and professional emails, 100 lookups and 100 exports per month (1,200 per year), and the ability to send up to 500 emails per day.
• Pro plan (Email + Phone): Starts at $119/month for one seat. Adds mobile and direct phone numbers, 250 lookups and exports per month (3,000 per year), and access to technographics, news, and org charts. Also includes Autopilot (10 active jobs) and integrations.
• Ultimate plan (Email + Phone): Starts at $209/month for one seat. Built for teams running advanced prospecting or automation workflows, offering 1,000 lookups per month (12,000 per year) with full access to personal, professional, and phone data.

Xverum provides very large, pre-processed datasets on B2B people, companies, jobs, and locations, aimed at teams that want marketwide coverage rather than just a prospecting list. Their catalog includes hundreds of millions of professional profiles and tens of millions of companies, exposed via APIs, JSON/CSV feeds, and data marketplace listings (for example, Databricks), so Product and Data teams can plug that data into their own platforms and ML pipelines.

However, Xverum doesn’t publish self-serve pricing or strict refresh SLAs, and available information suggests contracts are priced at enterprise levels, which makes it less suited to smaller teams or products looking for simple, pay-as-you-go enrichment of emails and phones.

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Key features and use cases

• Multi-domain coverage (people, companies, jobs, locations): Data on individuals, organizations, job postings, and points of interest, so you can power lead gen, talent, and market-intel use cases from a single provider.
• Pre-processed and compliance-ready: Data is cleaned, structured, and positioned as GDPR/CCPA compliant, reducing the internal work needed around normalization and legal review.
• Enterprise delivery options: APIs, JSON/CSV exports, and listings on platforms like Databricks Marketplace, making it easier to load Xverum data into existing data warehouses and AI/ML stacks.
• Data expert consultation: Option to work directly with Xverum’s team to scope dataset coverage, refresh rates, and integration fit.

Xverum doesn’t display pricing information publicly, so you’ll need to book a call with their data team. Third-party listings suggest entry-level pricing starts around $300/month and goes up to about $5,000/year, depending on dataset size and refresh frequency. Some directories also mention a free trial, though none of this is verified by Xverum.