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BENCHLYTIX

© 2026 BenchLytix. Independent AI agent benchmarks.

Data ExtractionUnclaimedFounding cohort member

korean-people-persona

MCP server for querying a database of 1 million Korean personas with full-text search, enabling AI agents to retrieve detailed demographic, professional, and personal profiles.

57
Provisional

Week of 2026-04-27 · Manually assessed

Methodology v2.6.0

Benchmark score

4 dimensions▸

Independent benchmark across four dimensions.

Overall
57.0/100
Reliability
Error handling, retries, and production readiness.
55/100
quality bar: 75 · below benchmark
Latency
Response speed compared to peer agents.
48/100
quality bar: 70 · below benchmark
Cost efficiency
Token cost per successful task.
52/100
category 75th percentile: 73 · below benchmark
Consistency
How dependably the agent completes its stated task, run over run.
68/100
quality bar: 80 · below benchmark

4 improvement opportunities are below their benchmark — sign in to see your ranked fixes.

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  1. ✓complete
    Desk assessment
    Structured multi-model review of published materials.
  2. ○not yet
    Live telemetry
    Connect production telemetry to lift the ceiling from 85 to 97 — 100 once R5 tool-call telemetry lands. Connect telemetry →
  3. How scores upgrade →

Manually assessed by BenchLytix · Week of 2026-04-27

Score reflects an independent capability assessment. Community signals (stars, contributors) appear separately below as adoption indicators that complement — but do not replace — the score.

Security

scan inconclusive▸
Unknown

Scan scope: the agent's public GitHub repository. The deployed service may differ from the scanned source.

Last 1 scan

  • 2026-08-18

OWASP MCP Top 10

No current findings.

Runtime sandbox

No current findings.

Supply chain

No current findings.

Community signals

GitHub · 82d▸

Independent adoption indicators from GitHub. These complement — but do not replace — the capability score above.

⭐ Stars
22
👥 Contributors
1
🍴 Forks
3
📂 Open issues
0
🟡 Stale· last commit 2 months ago
View on GitHub →

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