Jev Agent vs SalesTouch
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Submitted by the Jev Agent team; independent, not affiliated with TypeSafe. Hosted decision APIs and seven MCP judgment/grading tools for agent classification, routing and rubric-based evaluation. Returns bounded decisions with probabilities, not generated prose or code. Small free allowance: 5 credits/month; additional usage uses one-time paid packs. API keys require sign-in. MCP docs: https://jev-agent.com/jev-mcp .
Manual
The LinkedIn MCP for AI agents. Connect Claude, Codex, and other MCP-compatible agents to LinkedIn prospect research and automated outreach. Find prospects, research profiles and companies, manage contextual conversations, and follow up with approval controls, scoped OAuth, pacing limits, and activity visibility.
Summary
- Jev Agent scores 1.0/5 and SalesTouch scores 0.8/5 on the Dark Factory Score, a difference of 0.2.
- The widest gap is Self-Correction: Jev Agent 2.0, SalesTouch 0.5.
- Jev Agent scores higher on code quality, integration and self-correction.
- SalesTouch scores higher on autonomy.
- They score the same on project complexity.
- Jev Agent is listed as freemium and SalesTouch as paid.
- Both are listed under Orchestration.
Dimension by dimension
| Dimension | Weight | Jev Agent | SalesTouch |
|---|---|---|---|
| Autonomy | 28% | 1.0 | 1.5 |
| Code Quality | 20% | 0.5 | 0.0 |
| Integration | 17% | 1.5 | 1.0 |
| Self-Correction | 15% | 2.0 | 0.5 |
| Project Complexity | 20% | 0.5 | 0.5 |
| Dark Factory Score | 1.0 | 0.8 |
Why Jev Agent scores 1.0
Jev Agent is not a code-generation or autonomous development tool — it is a hosted decision/judgment API that returns bounded classifications and probabilities (e.g., for agent routing, rubric scoring, grading) rather than generated code or prose. As such it cannot independently execute multi-step engineering tasks, write files, or drive a development workflow, which caps autonomy and project-complexity scores very low; at best it could serve as a small component invoked by an orchestrating agent to make a routing/grading decision within a larger pipeline (Tier 1-2 usage), but it has no mechanism to build, modify, or manage larger codebases, services, or systems. Because it outputs structured decisions rather than source code, code quality (types/tests/error handling in generated output) is essentially not applicable and scores near zero. Its one area of plausible relevance is self-correction: rubric-based grading/judgment tools are commonly used as 'LLM-as-judge' components to evaluate another agent's output and feed back pass/fail signals, which could support iterative self-correction loops in an external system — hence a moderate score there. Integration is limited to MCP tool docs and API-key-gated REST access with a small free tier, which supports basic tool-chaining but shows no evidence of CI/CD, deployment, or monitoring integration specific to software delivery pipelines. Overall this is a narrow, auxiliary judgment utility, not a general-purpose development agent, and scores low across nearly all Dark Factory dimensions.
Scored by Claude AI — last evaluated October 27, 2026
Why SalesTouch scores 0.8
SalesTouch is not a software-development tool in the sense this rubric targets — it's an MCP connector that exposes LinkedIn prospecting and outreach actions (search, read, message, follow up, publish) to AI agents like Claude or Codex, gated by OAuth scopes, pacing limits, and human approval controls. It has no stated capability to write, test, or ship code, so code quality, CI/CD integration, and project-complexity handling (which are defined here in terms of scripts, modules, and applications) are essentially inapplicable — scores reflect that near-total mismatch rather than poor execution of a dev task. On autonomy, the tool explicitly emphasizes 'approval controls' and 'activity visibility,' meaning actions are designed to be human-gated rather than fully autonomous — appropriate for compliance/safety in outreach, but it caps autonomy scoring under a dev-tool rubric. Integration gets a small credit because it plugs into agent orchestration frameworks (MCP, Claude, Codex) via OAuth, which is a real technical integration pattern, but there's no evidence of git, deployment pipelines, or monitoring hooks relevant to software engineering. Self-correction is unaddressed in any materials (no mention of retry logic, error recovery, or iterative refinement), and project-complexity tiers (script through distributed system) don't meaningfully apply since this tool operates in the sales/outreach domain, not software construction — so the tier scores are flat and minimal across the board.
Scored by Claude AI — last evaluated October 22, 2026
More comparisons
Generated from Dark Factory Score data. How the score works. Comparing three or more tools at once is part of Pro.