Crustdata Web Search API: Data Infrastructure for the AI Agent Era

2026-01-28 | ProductHunt | Official Website

30-Second Quick Judgment

What does this API do?: It allows AI Agents to access real-time public data on 1 billion people and 60 million companies (LinkedIn, SEC, news, etc.), eliminating the need for brittle scrapers.

Is it worth watching?: Yes. It's a YC F24 project with $6M in funding, already profitable, and endorsed by Garry Tan (YC CEO). If you are building AI SDRs, recruitment platforms, or investment tools, this is currently the fastest real-time data API available.

Three Questions That Matter

Is it relevant to me?

Who is the target user?:

• Developers building AI Agent products (SDR, recruitment, investment analysis)
• Sales/recruitment platforms needing real-time B2B data
• VC/PE firms for Deal Sourcing
• Technical teams building internal sales tools

Are you the target user?:

• If you are building an AI Agent and need people/company data → Yes, you are.
• If you just want to look up a single person's info → No, Apollo or LinkedIn is enough.
• If you don't have development resources → No, this is an API-only product.

When would you use it?:

• Scenario 1: AI SDR automatically finding prospects → Use People Search API
• Scenario 2: Tracking personnel changes at competitors → Use Watcher API
• Scenario 3: Getting notified immediately when a candidate leaves a job → Use Webhooks
• Scenario 4: Enriching company info in your CRM → Use Company Enrichment API

Is it useful to me?

ROI Judgment: If you need to query/monitor 1000+ people's data monthly, the cost of building your own scraper far exceeds the API fees. For occasional lookups, the free plan is sufficient. Developers should try the free version directly.

Is it a "Wow" product?

What's the highlight?:

• Real-time: Live crawls at the time of request, not a monthly-updated static database.
• Unrestricted: No rate limits; get as much data as you need.
• One-stop: 60+ filters and 10 operators allow for any combination of queries.

The "Wow" Moment:

"The API is clean, fast, and well-documented, which makes integration with existing workflows almost effortless." — ProductHunt User

Real User Feedback:

Positive: "Think of this API as the fundamental layer on which you can build any tool that needs public web info." — Garry Tan (YC CEO)

Positive: "This feels like a genuinely foundational layer for AI agents, especially given how brittle traditional scraping is." — S.S. Rahman

Critique: "Super powerful for GTM teams, but caution about how much noise it could create if you're not careful with filtering." — PH Comment

For Independent Developers

Tech Stack

• API: REST API, supports CSV data export
• Real-time: Live crawling on request (not a static database)
• Scale: PB-scale data pipelines
• Integration: Supports MCP (Claude, Cursor, Windsurf)

How the core features are implemented

Crustdata's core differentiator is "Live Crawling" rather than "periodic batch updates." They index data in real-time from 16+ sources (LinkedIn, SEC, Glassdoor, G2, etc.) and push updates via Webhooks through the Watcher API.

60+ filters and 10 operators allow for flexible screening by title, industry, company, years of experience, etc.

Is it open source?

No, it is a closed-source commercial product. However, there is a community-contributed FastAPI+React example on GitHub for reference.

How do they make money?

• Freemium model: Free plan available
• Usage-based API pricing
• Custom enterprise quotes
• Already profitable (Confirmed in a Starter Story interview)

Risk of being crushed by giants?

ZoomInfo and Apollo.io are the giants, but:

1. They use batch updates (monthly/quarterly), while Crustdata is real-time.
2. They use subscription models, while Crustdata's usage-based pricing is more flexible.
3. The AI Agent scenario is a new demand that giants haven't fully committed to yet.

Risk Assessment: Moderate. If ZoomInfo launches a real-time API, it would be strong competition, but their business model creates inertia against such a pivot.

For Product Managers

What pain points does it solve? How painful are they?

Pain Point 1: Brittle traditional scrapers

• Anti-scraping mechanisms are getting stronger.
• High maintenance costs.
• Unstable data quality.

Pain Point 2: Stale static databases

• ZoomInfo/Proxycurl update monthly or quarterly.
• You might only find out someone changed jobs 29 days later.
• AI Agents need real-time data for decision-making.

Pain Severity: High-frequency essential need. If an AI SDR sends an email based on stale data, the conversion rate drops significantly.

Who is the target user?

Feature Breakdown

Competitive Differentiation

Key Takeaways

1. API-first positioning: No UI, total focus on developer experience.
2. Real-time as a core USP: Direct contrast to competitors' batch updates.
3. Comprehensive Webhooks: Can push job changes, promotions, skills, and posts.
4. YC Endorsement: Personally backed by Garry Tan.

For Tech Bloggers

Founder Story

Three Co-founders:

1. Abhilash Chowdhary (CEO)

2. Manmohit Grewal - Impressive technical background:

   • 3 startups, all exited.
   • Led Serve Robotics (NASDAQ:SERV) from 0 to IPO.
   • Head of Postmates X robotics team (acquired by Uber).
   • Founding engineer at CMU spin-off Robotwits (acquired by Waymo).
   • Built PB-scale data pipelines at Yahoo!.

3. Chris Pisarski - Data industry veteran:

   • Founding team + Interim CEO at PrivCo (VC-backed data platform).
   • Multiple entrepreneurial experiences.
   • Cornell graduate.

Note: Garry Tan is the CEO of YC and an investor, not a co-founder.

Controversy / Discussion Angles

1. AI Agent Infrastructure - In this AI Agent gold rush, who provides the data layer?
2. Real-time vs. Batch - How much does data freshness actually matter?
3. YC Portfolio - Why is Garry Tan personally endorsing this? (YC itself is a customer).

Hype Data

• PH Ranking: #10 Weekly, 364 votes
• PH Rating: 4.4/5 (13 reviews)
• Funding: $6M Seed
• Investors: YC, General Catalyst, SV Angel

Content Suggestions

• Angles: "What kind of data layer do AI Agents need?" / "The paradigm shift in B2B data: From scrapers to APIs."
• Trending Topics: AI Agents, Garry Tan, YC F24.

For Early Adopters

Pricing Analysis

Industry Benchmark: Basic sales intelligence software is around $50/month. Crustdata's usage-based model may be cheaper for low volumes.

Getting Started Guide

• Time to start: 30 minutes for those with dev experience.
• Learning Curve: Low (REST API, clear documentation).
• Steps:
  1. Register for a free account on the website.
  2. Get your API Key.
  3. Review the Documentation.
  4. Test with the People Search API.

Pitfalls and Critiques

1. Filtering is key: Without it, you'll get a lot of noise.
2. Requires dev resources: This is an API product; there is no ready-made UI.
3. Opaque pricing: You have to ask for a quote, so it's hard to know the cost upfront.

Security and Privacy

• Data Source: Public data (LinkedIn, SEC, etc.).
• Compliance: GDPR status needs verification.
• Data Storage: API-based; does not store user data.

Alternatives

For Investors

Market Analysis

Sales Intelligence Market Size:

• 2024: $3.3B
• 2026: $4.5B
• 2034: $9B+
• CAGR: 10-13%

Drivers:

• 64% of B2B sales organizations will adopt data-driven decision-making by 2026.
• The AI Agent explosion requires a real-time data layer.
• Fastest growth among SMEs.

Competitive Landscape

Timing Analysis

Why now?:

1. AI Agents are exploding in 2024-2025 and need a reliable data layer.
2. Traditional scrapers are losing the battle against anti-scraping tech.
3. Enterprises are increasingly willing to pay for real-time data.

Tech Maturity: The shift from web scraping to API-based, real-time data is a major trend.

Team Background

• Manmohit: 3 exits, including one IPO (SERV), one acquisition by Uber, and one by Waymo.
• Chris: Former CEO of PrivCo (VC data platform).
• Verdict: The team has a proven track record in both data and entrepreneurship.

Funding Status

• Raised: $6M Seed
• Investors: YC, General Catalyst, SV Angel, A Capital, Liquid 2 Ventures
• Status: Already profitable
• Valuation: Undisclosed

Conclusion

Crustdata is the B2B data infrastructure for the AI Agent era, with "real-time" as its core differentiator.

Resource Links

2026-01-28 | Trend-Tracker v7.3