tbench.ai

Overview

Data updates weekly; see the notes on estimated values Data notes

AI Analysis

Compiled by an LLM based on landing page content; speculative judgments are noted.

Search, backlinks & monetization

{
  "domain": "tbench.ai",
  "name": "TERMINAL-BENCH",
  "title": "TERMINAL-BENCH",
  "description": "A benchmark to measure and evolve with the frontier of agent work",
  "desc_zh": "A terminal task benchmark platform for AI Agent developers to measure and track agent capability on frontier tasks.",
  "cat1": "[\"编程与开发\", \"研究与数据\"]",
  "cat2": "[\"AI Agent 评测基准\", \"终端任务基准测试\", \"模型能力对比\"]",
  "site_type": "[\"品牌驱动\", \"关键词驱动\"]",
  "keyword_type": "品牌词",
  "model_family": null,
  "model_version": null,
  "status": "正常",
  "registered": "2025-04-25",
  "rank": 467506,
  "visits": 24145,
  "visits3": "[14334, 20475, 24145]",
  "growth": 17.9,
  "dr": 68.9,
  "tech": "[\"Next.js\"]",
  "analytics": "[]",
  "payments": "[]",
  "pricing": "[\"$1\", \"$0\", \"$11\", \"$4.7\", \"$4\", \"$7.3\"]",
  "monetization": "[\"免费增值\", \"订阅制\"]",
  "monetization_score": 42.2,
  "keywords": "[\"terminal-bench\", \"terminal bench ai\", \"agent benchmark\", \"ai agent evaluation\", \"terminal agent benchmark\"]",
  "outbound": "[\"discord.gg\", \"github.com\", \"harborframework.com\", \"stanford.edu\", \"laude.org\"]",
  "badges": "[]",
  "seo": "{\"words\": 1022, \"lang\": \"en\", \"internal\": 6, \"outbound\": 5, \"images\": 0, \"images_no_alt\": 0, \"schema\": []}",
  "insight": "{\"problem\": \"AI Agent developers lack a unified, reproducible standard to measure Agent capability on real end-to-end tasks, making it hard to judge whether a model or product has truly become stronger.\", \"before\": \"Developers can only compare Agent performance through scattered demos, self-built scripts, or subjective experience; results are not comparable, hard to reproduce, and cannot track version iterations.\", \"now\": \"Uses a unified end-to-end task benchmark to score and compare different Agents and models horizontally, and continuously updates versions with frontier tasks (already at 4.0).\", \"vs\": \"Compared with general chat-style evaluations, it focuses on real terminal/command-line tasks, is closer to Agents' actual work scenarios, and emphasizes iteration alongside the frontier.\", \"audience\": [\"AI Agent developers\", \"Model and evaluation researchers\", \"AI tool site for indie developers\"], \"hooks\": [\"Unified, reproducible terminal task benchmarking\", \"A frontier benchmark continuously updated to 4.0\", \"Side-by-side comparison of different Agent capabilities\"], \"pay_willingness\": \"中等\", \"growth\": \"Launched on 2025-04-25, a new site; estimated monthly visits around 24,000, growth 17.9%, in an early rising phase.\", \"acquisition\": \"Presumed mainly from developer communities, technical discussions, and brand search terms, plus organic traffic from citations of benchmark results.\", \"moat\": \"The moat lies in benchmark task design and community recognition of version iterations; being first and authoritative matters more than the technology itself.\", \"money\": \"No clear payment channel detected on the page; price clues include small amounts like $0, $1, $4, $4.7, $7.3, $11, suggesting a freemium or low-price subscription/credit model, specifics uncertain.\"}",
  "is_sample_revenue": 0,
  "is_new": 0,
  "reg_relaxed": 0,
  "updated_at": "2026-10-18T01:31:32+00:00"
}

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