Glasser

Apollo vs Lusha: choose prospect discovery or contact-channel enrichment

What can Apollo and Lusha do?

Limits & data comparison

Compare by
Apollo
Glasser endpoints
Lusha
Glasser endpoints
Limits

People Search: 10 people/page.

Match: one person/call. Direct rate limits vary by endpoint, plan and time window.

Email search-and-enrich: up to 10 contacts/call.

Email and phone reveal are separate Glasser endpoints.

Fields & data

Search omits emails and phones.

Match adds available business contact details and match confidence.

Email enrichment returns title, employer, location, social links and available emails.

Execution & reliability

Synchronous search and match; 20-second Run timeout.

Unmatched person is free; require_email makes missing email a free miss.

Synchronous email enrichment; 25-second Run timeout.

Contacts with no email are free misses.

Access & scope

A low-confidence match may still be charged.

Review identity and employer before using contact details.

An email-enrichment result does not include a purchased phone reveal.

Buying-group and signals operations have separate prices.

Apollo vs Lusha pricing

Apollo

Paid plan starts at

$65/ seat / month

Basic · billed monthly

Commitment
$65 / seat, billed monthly
Included
2,500 credits / seat / month
Person enrichment
1 credit for demographics / email
Free tier
Available; excluded from paid example

Lusha

Paid plan starts at

$49.90/ month

Starter · billed monthly

Included
400 credits / month · 1 seat
Email reveal
1 credit / contact
API access
Person API included; 40 requests/minute, 100/day

Task-based cost example

Apollo: 100 person enrichments, no phone reveal + Lusha: 100 contacts with email. Paid access from a new account; free credits, promotions and taxes excluded.

TaskDirect APIsThrough Glasser
Apollo: 100 person enrichments, no phone reveal$65.001 Basic seat, monthly billing · 100 of 2,500 credits used$1.98100 successful matches × $0.01975
Lusha: 100 contacts with email$49.90Starter monthly plan; 100 of 400 included credits, no phone reveal$24.96100 matched contacts with email × $0.2496
Cost to start this task$114.90$26.94

Inputs and outputs

Apollo

  1. InputLinkedIn URL or name + employer domain
  2. ProcessMatch one person
  3. OutputPerson, employer and available business email

Lusha

  1. InputLinkedIn URLs or names + employers
  2. ProcessSearch and enrich contacts for email
  3. OutputMatched people and email addresses

Still unsure? Choose based on your task

Why use Apollo and Lusha through Glasser?

One API Key

Use one key for both listed providers.

One Balance

Fund supported endpoint usage from one shared balance.

Pay as You Go

Pay per use, with no Glasser subscription.

Agent-Ready Integration

Connect your agent via Skill, MCP or CLI.

Questions before you choose

Why compare email and phone costs separately?

They are separate reveal operations. The Lusha price shown here buys email matches, while phones have a different endpoint and charge. Avoid counting a search result or email match as a verified phone contact.

When should I choose Apollo over Lusha?

Use Apollo’s free People Search to build a shortlist by job title and employer, then enrich selected candidates. Use Lusha email search-and-enrich for LinkedIn URLs or named contacts; use its separate phone endpoint when phone numbers are required.

Can I use Apollo and Lusha together in one AI agent?

Yes, for the listed Apollo and Lusha operations. One Glasser key and balance can access both; your agent still needs to choose and sequence the tools.

Can my agent automatically choose the right provider?

Give the agent explicit rules based on the task, required fields and budget. Apollo: Finding people by role and employer, then enriching a shortlist for outreach. Lusha: Revealing contact channels for known people and monitoring dated company changes. Tool routing is configured in your agent; an API key alone does not decide.

How do I control API spending through Glasser?

Inspect the current endpoint price before running it. Limit returned rows and batch sizes, deduplicate inputs and start with a small sample. Give your agent a spending ceiling and review Run charges; a prompt instruction is not a server-enforced budget cap. Separately connected services bill separately.

Can I use Glasser with Claude Code, Codex and ChatGPT?

Use the Glasser Skill in an agent that can follow skill instructions, or configure the supported MCP connection in your client. CLI access is also available. Client setup and tool permissions still apply; the prompt above starts with the listed Glasser operations.

Get the data you need with Glasser.