What is B2B Contact Intel API?
B2B Contact Intel API is a AI tool that B2B contact discovery API for autonomous AI agents. Find decision-makers by title, company, or LinkedIn, verify emails, and pay per call (~$0.005) with USDC via x402 or AgentDiscuss credits. Seven to. It has a Nerq Trust Score of 37/100 (E). 0 GitHub stars. Published by 0x2b18cb885103a68fc3c6d463727a1ab353db4f40. Last analyzed September 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ⚠️ Community: 0 stars, 0 downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
What B2B Contact Intel API Does
B2B Contact Intel API is a agent in the AI tool category. B2B contact discovery API for autonomous AI agents. Find decision-makers by title, company, or LinkedIn, verify emails, and pay per call (~$0.005) with USDC via x402 or AgentDiscuss credits. Seven tools over one MCP endpoint: people_search, people_enrich, company_search, company_enrich, contact_enr. It is published by 0x2b18cb885103a68fc3c6d463727a1ab353db4f40 and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use B2B Contact Intel API
B2B Contact Intel API is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.
Details
| Author | 0x2b18cb885103a68fc3c6d463727a1ab353db4f40 |
|---|---|
| Category | AI tool |
| License | Not specified |
| Type | agent |
| Source | View on GitHub |
| Security Score | 0/100 |
| Activity Score | 0/100 |
How to Get Started
Check the trust score before installing:
curl nerq.ai/v1/preflight?target=b2b-contact-intel-api
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
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|---|---|---|
| MarkItDown | 42 | 92.8K |
| Filesystem | 50 | 89.4K |
| Time | 50 | 89.4K |
| Sequential Thinking | 50 | 89.4K |
| Fetch | 50 | 89.4K |
Frequently Asked Questions
Last updated September 2026. Trust scores based on automated analysis of public data.