{
  "slug": "echotrail",
  "name": "Echotrail",
  "description": "Echotrail provides comprehensive Windows process behavior data, including prevalence, ancestry, paths, and hashes for over 40,000 executables, derived from over 300 million real executions. This critical intelligence is delivered via REST API, MCP server, or as a full dataset, enabling SOC tools and AI agents to enhance threat detection and analysis by grounding security agents on actual process behavior.",
  "url": "https://optimly.ai/brand/echotrail",
  "websiteUrl": "https://echotrail.io/",
  "logoUrl": "https://logo.clearbit.com/echotrail.io",
  "baiScore": 47.5,
  "bai_tier_status": "active",
  "bai_score_status": "active",
  "archetype": null,
  "archetype_status": "active",
  "category": "Threat Intelligence Platforms",
  "categorySlug": null,
  "keyFacts": [],
  "aiReadiness": [],
  "competitors": [],
  "competitorsProse": null,
  "inboundCompetitors": [],
  "aiAlternatives": [],
  "parentBrand": null,
  "subBrands": [],
  "updatedAt": "2026-09-21T05:44:37.015Z",
  "verifiedVitals": {
    "website": "https://echotrail.io",
    "pricing_model": {
      "kind": "freemium",
      "detail": "Echotrail offers a free tier that provides summary responses for process and parent-child lookups, endpoint prevalence, and lab summaries, intended for non-commercial and evaluation use. Paid tiers, such as 'Team' and 'Product', offer full detailed behavior records, access to all endpoints and MCP tools, lab observations (including command lines, DLL loads, network activity, and persistence), and higher usage limits."
    },
    "parent_ownership": "EchoTrail Ventures, Ltd."
  },
  "intentTags": {
    "problemIntents": [
      "Difficulty distinguishing legitimate from malicious Windows process activity",
      "Lack of real-world process behavior data for threat analysis",
      "Inefficient manual investigation of security alerts involving Windows processes",
      "Need to improve the accuracy and context of SOC tools and AI agents",
      "Challenges in identifying abuse patterns of legitimate Windows binaries (LOLBAS)"
    ],
    "solutionIntents": [
      "Accessing granular Windows process execution data programmatically",
      "Integrating behavioral intelligence into existing security platforms",
      "Automating analysis of parent-child process relationships and prevalence",
      "Utilizing a comprehensive dataset of Windows executable attributes",
      "Gaining insights into normal and suspicious Windows process behaviors"
    ],
    "evaluationIntents": [
      "Comparing different sources of Windows process threat intelligence",
      "Assessing the coverage and recency of process behavior datasets",
      "Evaluating API ease of use and data structure for security integrations",
      "Reviewing the expertise and background of the intelligence provider",
      "Understanding pricing tiers for cybersecurity data access"
    ]
  },
  "businessProfileClaims": [],
  "timestamp": 1790407923288
}