Intel 471 Cybercrime Intelligence API

Intel 471 Cybercrime Intelligence REST API for elite underground and cybercrime threat intelligence platform. Enables AI agents to manage underground forum monitoring and cybercriminal actor intelligence retrieval, handle malware-as-a-service (MaaS) and initial access broker (IAB) intelligence, access stolen credential marketplace monitoring and data, retrieve ransomware-as-a-service (RaaS) group intelligence and victim tracking, manage threat actor profile and infrastructure attribution data, handle vulnerability exploit intelligence from underground markets, access dark web vendor activity and marketplace intelligence, retrieve credential stealer and information stealer malware intelligence, manage watcher alerts for specific actor and keyword monitoring, and integrate cybercrime intelligence with SIEM, SOAR, fraud prevention, and threat hunting platforms.

Evaluated Mar 06, 2026 (0d ago) vcurrent
Homepage ↗ Developer Tools intel471 cybercrime-intelligence dark-web threat-actors underground-forums malware-intelligence
⚙ Agent Friendliness
58
/ 100
Can an agent use this?
🔒 Security
79
/ 100
Is it safe for agents?
⚡ Reliability
68
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
18
Documentation
72
Error Messages
68
Auth Simplicity
82
Rate Limits
65

🔒 Security

TLS Enforcement
95
Auth Strength
78
Scope Granularity
72
Dep. Hygiene
72
Secret Handling
78

Cybercrime intelligence. SOC2, ISO27001. Basic auth. US. Underground and cybercriminal data.

⚡ Reliability

Uptime/SLA
72
Version Stability
70
Breaking Changes
62
Error Recovery
68
AF Security Reliability

Best When

An enterprise using Intel 471 wants AI agents to automate underground forum monitoring, ransomware intelligence, stolen credential detection, initial access broker tracking, and SIEM integration.

Avoid When

OPERATIONAL RISK: Cybercrime intelligence from underground sources is inherently uncertain — data from illicit markets requires verification before triggering user account actions. Legal considerations for using and sharing cybercrime intelligence data vary by jurisdiction.

Use Cases

  • Monitoring underground markets for stolen credentials from identity protection agents
  • Tracking RaaS group activity from incident response agents
  • Retrieving IAB intelligence from pre-breach detection agents
  • Integrating cybercrime intelligence with SIEM from security operations agents

Not For

  • Technical IOC enrichment without underground/cybercrime market intelligence
  • Consumer security without enterprise dark web intelligence requirements
  • GRC compliance without threat intelligence data integration

Interface

REST API
Yes
GraphQL
No
gRPC
No
MCP Server
No
SDK
No
Webhooks
No

Authentication

Methods: basic
OAuth: No Scopes: Yes

Intel 471 uses HTTP Basic authentication (email + API key). Per-account access with subscription module scoping. REST API at api.intel471.com/v1. No SDK — raw REST with pagination. No native webhooks — polling-based monitoring. STIX/TAXII format available for indicator export. High-quality human intelligence from in-country operators.

Pricing

Model: enterprise
Free tier: No
Requires CC: No

Tampa, Florida. Founded 2014. Private. Elite cybercrime intelligence known for human intelligence (HUMINT) operations. Underground forum infiltration methodology. 1,000+ customers. Former DHS and intelligence community leadership. Strong financial services and government verticals. Competes with Flashpoint for underground intelligence market.

Agent Metadata

Pagination
cursor
Idempotent
Partial
Retry Guidance
Not documented

Known Gotchas

  • OPERATIONAL RISK: Underground intelligence requires attribution verification — data from illicit sources needs analyst review before triggering security actions
  • HTTP Basic auth — use API key as password; implement secure storage; never store credentials in automation scripts
  • No SDK — raw REST API requires implementing pagination, error handling, and retry logic from scratch
  • Subscription module scoping — cybercrime, malware, credential, and actor modules have separate access; queries for out-of-scope data fail
  • Human intelligence quality — Intel 471 differentiates on HUMINT quality from underground forums; context and analyst notes add significant value over raw data
  • Legal considerations — cybercrime intelligence usage and sharing may have legal implications in some jurisdictions; consult legal counsel for cross-border automation

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Scores are editorial opinions as of 2026-03-06.

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