com.jev-agent/jagent · v1.0.0 · ecommerce
Jagent is healthy: it completed an MCP handshake in 2427 ms and exposes 7 tools. It scores 59/100.
Grade essays, check resumes, and ask typed yes/no, choice and rubric questions, powered by Jev.
Endpoint: https://jev-agent.com/api/mcp (streamable-http)
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| health | 17 / 25 |
| authEase | 15 / 15 |
| toolQuality | 15 / 15 |
| maintenance | 7 / 15 |
| adoption | 0 / 10 |
| usage | 0 / 10 |
| security | 5 / 10 |
Scoring v0.3, computed 2026-10-15T02:31:25.495Z.
| Checked (UTC) | Status | Latency | Error |
|---|---|---|---|
| 2026-10-14T20:05:36.594Z | Healthy | 2427 |
check_resume | Score a resume, optionally against a job posting: a 0-100 match score, the posting's keywords found and missing (matched literally, as an ATS search would), ATS format checks, the level fit, and the probability a recruiter would move it to interview. |
grade_essay | Grade one essay against a built-in rubric. kind "essay": six criteria and a letter grade, for class essays at middle school, high school or college level. kind "common-app": a Common App personal statement (pass the prompt number, 1-7). kind "sat": an SAT School Day essay, Reading/Analysis/Writing e |
grade_with_rubric | Grade one or more submissions (up to 30, in parallel) against a rubric you supply: each criterion scored on a 3- to 6-point scale, summed per submission. Each submission is graded in its own call, so its score never depends on the others. |
judge_yes_no | Ask any yes/no question about a text and get the probability that the answer is yes. Use for checks and gates, e.g. 'Does this reply answer the customer's question?'. |
judge_choice | Pick the option that best fits a text, with a probability for every option and a confidence. Options map an id to a description of when it applies. |
judge_score | Place a text on an ordered scale you define (lowest level first) and get the nearest level, the exact position and a probability for each level. |
compare_versions | Which of two versions is stronger for a stated purpose. Asked twice with the order swapped and averaged, because the model favors the second option on close calls; if the two orders disagree the result is a tie. |