Software Alternatives & Startups

EnvoAPI VS Foam

Compare EnvoAPI VS Foam and see what are their differences

EnvoAPI

Enrich contact and company records with EnvoAPI. Access LinkedIn data, find work emails, and verify addresses. Start with 100 free credits.

Rating
0 reviews
Pricing
Freemium $49 / Monthly ("Launch", "10,000 credits", "60 requests per minute")
Foam

Personal knowledge management and sharing on VSCode & GitHub

Rating
0 reviews
Pricing
Open source
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Which is more popular?

Based on our record, Foam seems to be more popular. It has been mentioned 49 times since March 2021.

social mentions
0 vs 49
LinkedIn Marketing popularity
100% vs 0%
alternatives listed
17 vs 240+

Base details

Website, pricing, platforms and company facts side by side.

EnvoAPI
Foam
Website envoapi.com foambubble.github.io
Pricing
Freemium $49 / Monthly ("Launch", "10,000 credits", "60 requests per minute") Official pricing
Open source
Platforms
Web REST API MCP Python Node JS TypeScript Go +4
—
Company — Startup from the United States
Listed in

Features and specs

What each product offers, as listed by its team.

EnvoAPI 8 features
Foam 6 features
  • LinkedIn Profile API
    Retrieve public LinkedIn profiles, work experience, education, skills, and professional details as structured JSON.
  • Company Data Enrichment
    Access company profiles, employee counts, industries, headquarters, and business insights using company domains or URLs.
  • AI Agent & MCP Integration
    Connect ChatGPT, Claude, Cursor, and other MCP-compatible AI agents to professional and company data.
  • People & Company Search
    Search professionals and companies using keywords, job titles, locations, industries, and supported filters.
  • Job Search API
    Find public job listings by keyword, company, or location, with structured results and pagination.
  • Email Finder & Verification
    Find professional email addresses and verify them through dedicated API endpoints.
  • Developer SDKs & REST API
    Integrate 58 documented REST API endpoints using official Python, TypeScript, and Go SDKs.
  • Credit-Based API Pricing
    Start with 100 free credits, no credit card required, and scale with flexible usage-based plans.
  • Open Source
    Foam is an open-source tool, which means it is free to use and allows for community-driven development and contributions. Users can modify the source code to fit their specific needs.
  • Markdown Support
    Foam uses Markdown, a lightweight and easy-to-read syntax, making it simple to create and manage notes. This also allows for easy integration with other Markdown-based tools and platforms.
  • Integration with Visual Studio Code
    Foam is designed to work seamlessly with Visual Studio Code (VS Code). This provides users with a powerful and familiar text editor environment, complete with extensions and customization options.
  • Graph View
    Foam includes a graph visualization feature that helps users see and navigate the relationships between their notes, making it easier to understand and manage complex information.
  • Bidirectional Links
    Foam supports bidirectional links, allowing users to create connections between notes in both directions. This enhances the note-taking experience by enabling a more interconnected and dynamic information structure.
  • Community and Documentation
    Foam has a growing community of users and contributors, as well as comprehensive documentation. This support network helps users troubleshoot issues, share tips, and improve their knowledge of the tool.

Possible disadvantages

  • Limited to VS Code
    Foam relies on Visual Studio Code as its primary environment. Users who prefer different text editors or platforms might find this limitation restrictive and less convenient.
  • Learning Curve
    Although Foam leverages Markdown, users may still face a learning curve, especially if they are not familiar with VS Code or the specific features and extensions required to maximize Foam's capabilities.
  • Performance with Large Datasets
    Foam can struggle with performance issues when handling large datasets or a high number of notes. This can lead to slow response times and inefficient workflows.
  • Limited Mobile Support
    Foam is primarily designed for desktop use within VS Code, which means that mobile support is limited. Users looking for a seamless cross-platform experience might find this aspect lacking.
  • Customization Complexity
    While Foam offers a high degree of customization, setting up and configuring the tool to meet personal preferences and workflows can be complex and time-consuming for some users.

Analysis

An editorial look at what each product does well and who it suits.

EnvoAPI
Foam

No analysis of EnvoAPI yet.

Overall verdict

  • Yes, Foam is a good tool for those seeking an open-source environment for note-taking and knowledge management, particularly if they appreciate an approach based on markdown files and integration within a powerful text editor like Visual Studio Code. Its flexibility and user-driven customization make it suitable for users who enjoy tweaking and optimizing their workspace according to their workflow.

Why this product is good

  • Foam is a personal knowledge management and sharing system inspired by Roam Research, offering an open-source solution built on top of Visual Studio Code. It provides users with capabilities to create and interlink notes using markdown files, offering flexibility and customization suited to personal preferences. Foam supports features like backlinking, graph visualization of notes, and integration with VS Code extensions, making it a robust tool for managing interconnected information effectively.

Recommended for

  • Individuals preferring markdown-based note-taking systems
  • Developers familiar with Visual Studio Code
  • Users who appreciate open-source software and community-driven projects
  • People interested in managing complex, interconnected knowledge bases

Videos

Walkthroughs and reviews on video.

EnvoAPI 0 videos + Add
Foam 3 videos + Add

No EnvoAPI videos yet. You could help us improve this page by suggesting one.

These panels DESTROYED my STUDIO....REVERB? - ArrowZoom Foam Review

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Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
EnvoAPI
Foam
100% 100%
0% 0%
0% 0%
100% 100%
100% 100%
0% 0%
0% 0%
100% 100%

Questions & Answers

As answered by people managing EnvoAPI and Foam.

What makes your product unique?

EnvoAPI's answer

EnvoAPI combines B2B data enrichment, LinkedIn data access, and AI agent integrations into one developer-friendly platform.

Unlike tools focused on a single data source or requiring complex scraping infrastructure, EnvoAPI provides 58 REST API endpoints across 7 data categories, including professional profiles, companies, jobs, posts, search, emails, and websites.

What sets EnvoAPI apart: - Unified API: Access multiple types of professional and business data with one API key. - AI-Native Integration: A hosted MCP server lets AI agents access business data directly through ChatGPT, Claude, Cursor, and other compatible tools. - Developer-Friendly: Well-documented endpoints, consistent JSON responses, and official SDKs for Python, TypeScript, and Go. - No Scraping Infrastructure Required: No LinkedIn account, browser automation, or proxy management needed. - Transparent Pricing: Credit-based billing with 100 free starter credits and no credit card required. EnvoAPI makes professional data easier to access, integrate, and automate.

Why should a person choose your product over its competitors?

EnvoAPI's answer

Choose EnvoAPI if you need a simple, flexible, and developer-first alternative for accessing B2B and LinkedIn-related public data.

EnvoAPI helps teams avoid the complexity of maintaining custom scraping systems or integrating multiple data providers.

Key advantages include:

  • Faster Integration: Get started with a REST API, comprehensive documentation, and official SDKs.
  • Broad Data Coverage: Retrieve professional profiles, company information, job listings, public posts, and business email data through one platform.
  • Built for AI Agents: Native MCP support enables AI assistants to research people and companies using structured data.
  • Predictable API Experience: Consistent JSON responses, documented pagination, error handling, and credit usage.
  • Flexible Pricing: Start with 100 free credits, then scale based on your usage.
  • Automation Ready: Integrate with CRMs, SaaS applications, n8n, Make, Zapier, and custom workflows.

Whether you're building a SaaS product, enriching CRM records, or developing an AI research assistant, EnvoAPI offers a straightforward way to integrate business data into your workflow.

How would you describe the primary audience of your product?

EnvoAPI's answer

EnvoAPI is designed for developers, AI builders, SaaS companies, and B2B teams that need programmatic access to professional and company data.

Our primary audience includes:

  • Software Developers & SaaS Founders: Building applications that require LinkedIn profiles, company information, or business data enrichment.
  • AI Agent Developers: Connecting LLM-powered assistants to professional and company data through MCP.
  • Sales & Revenue Operations Teams: Enriching CRM records, researching prospects, and improving account intelligence.
  • Recruiters & HR Tech Companies: Researching professional backgrounds, identifying candidates, and analyzing hiring activity.
  • Growth & Marketing Teams: Discovering business contacts and enriching lead databases.
  • Data Analysts & Researchers: Collecting structured company information for market research and business intelligence.

EnvoAPI is particularly useful for teams that want API-first access to B2B data without building their own data collection infrastructure.

What's the story behind your product?

EnvoAPI's answer

EnvoAPI was created to solve a common challenge faced by developers and businesses: accessing professional and company data shouldn't require building and maintaining complex scraping infrastructure.

Many teams need public LinkedIn profiles, company information, job listings, and professional insights to power their products and workflows. However, official platform APIs often have restricted access, while custom scraping solutions require ongoing maintenance.

We built EnvoAPI to simplify this process.

Our goal is to make public professional data accessible through a reliable, well-documented, developer-friendly API with consistent JSON responses and transparent usage-based pricing.

As AI agents became more capable, we expanded EnvoAPI with Model Context Protocol (MCP) support, allowing AI assistants to access structured business information directly.

Today, EnvoAPI focuses on helping developers, startups, and businesses spend less time collecting data and more time building useful products.

Our mission is simple: Make B2B data accessible, programmable, and AI-ready.

Which are the primary technologies used for building your product?

EnvoAPI's answer

EnvoAPI uses modern API standards and developer integration technologies to provide structured B2B data access.

Our publicly documented technologies and interfaces include:

  • REST API & HTTPS: Standard HTTP-based endpoints for accessing professional and company data.
  • JSON: Consistent, structured API responses for straightforward data processing.
  • Model Context Protocol (MCP): Integration with AI assistants and agent-based workflows.
  • OpenAPI: Machine-readable API specifications and developer documentation.
  • Python: Official SDK with synchronous and asynchronous support.
  • TypeScript / Node.js: Official SDK for JavaScript and TypeScript applications.
  • Go (Golang): Official SDK for Go applications.
  • OAuth 2.0 & API Keys: Authentication methods for MCP integrations and REST API requests.

EnvoAPI is designed to work with modern SaaS architectures, AI applications, CRM systems, and workflow automation platforms.

User comments

Share your experience with using EnvoAPI and Foam. For example, how are they different and which one is better?

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Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

EnvoAPI 0 mentions
Foam 49 mentions

Tracking EnvoAPI since Oct 2026.

  • AI Coding Tip 020 - Create a Second Brain
    Choose a local Markdown tool like Obsidian, Logseq, Foam, or Tolaria to store all your knowledge as plain .md files you own and control. - Source: dev.to / 6 months ago
  • Migrating from DokuWiki to Obsidian
    I've been using foam instead of obsidian for my personal knowledge base. It works rather well. And it's completely free and ultimately just markdown. While I might wish it was djot, I don't wish hard enough to make that so myself... - Source: Hacker News / about 2 years ago
  • I Use Obsidian
    I gave up on Obsidian and just use Foam (https://foambubble.github.io/foam/) and/or vimwiki. I just can’t get into overwrought, arbitrarily designed organization schemes or proprietary apps (Foam-managed content is just plain Markdown,... - Source: Hacker News / over 2 years ago

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Alternatives to EnvoAPI and Foam

When comparing EnvoAPI and Foam, you can also consider the following products.