ai-data-extractor vs Surge AI
Side-by-side comparison of features, pricing, and ratings
ai-data-extractor or Surge AI: which should you choose?
| Dimension | ai-data-extractor | Surge AI |
|---|---|---|
| What it is | Free MIT Python CLI for local chat-log extraction | Expert human data, RLHF, red teaming, and benchmark vendor |
| Pricing model | Free (open source) | Contact sales; no self-serve or per-unit pricing published |
| Buyer | Individual developers, researchers, privacy-focused tinkerers | Frontier AI labs, AI safety teams, enterprise model builders |
| Output | Normalized JSONL, one conversation per line, stored locally | Preference data, red-team findings, citable benchmark scores |
| Source coverage | Ten assistants incl. Claude Code, Codex CLI, Cursor, Cline, Roo Code, Aider | Human workforce spanning doctors, lawyers, engineers, writers |
| Newest addition | Cline/Roo Code and Aider extractors | ComplexConstraints benchmark and Tuesday Work Index |
Free MIT Python CLI that turns AI coding assistant chat history into one normalized JSONL dataset for fine-tuning and analytics.
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What do real users say about ai-data-extractor vs Surge AI?
Not marketing copy and not our opinion — a structured sweep of public discussion (reviews, forums, communities and video comments), showing what people praise and what they complain about for each tool.
ai-data-extractor
No verifiable community signal. We scanned public discussion on Sep 30, 2026 and found posts matching the name “ai-data-extractor”, but could not establish that they are about this product rather than something else sharing its name. Rather than publish a score built on the wrong subject, we publish none.
Surge AI
53 mentions across 3 sources · 53% positive — mixed (weighted across 3 sources)
Hacker News, Bluesky, Lemmy
What users praise
- • Credentialed workforce of doctors, lawyers, tax specialists and staff engineers rather than open-call crowd annotators
- • Broad public benchmark suite: GDP.xlsx, sudo L7, GDP.pdf, DAYJOB, Chartography, ComplexConstraints, HANDBOOK.md
- • Public post-training results (Kimi K2.7: +20.0pp SWE-Marathon, +12.4pp DeepSWE) show transferred gains
- • HANDBOOK.md cited on Hacker News as a serious long-context enterprise instruction-following eval
What frustrates them
- • Almost no first-hand user reviews in the dataset — pricing, support and usability are unverified
- • Benchmark credibility questioned when the vendor also sells post-training on those evals
- • Only 'contact us' pricing; no published tiers, free trial or transparent cost per task
- • Expert-human workforce is expensive and slow relative to crowd-labeling platforms
Researched Nov 7, 2026
Who should pick ai-data-extractor, and who should pick Surge AI?
- Solo developer building a fine-tuning datasetPick: ai-data-extractor
It normalizes your own Claude Code, Codex CLI, and Cursor history into one JSONL file locally, at no cost and with no upload.
- Privacy-focused engineer backing up years of chatsPick: ai-data-extractor
Extraction runs entirely on disk with no account — useful before an app clears its local database.
- Frontier lab post-training a model on expert preferencesPick: Surge AI
Surge supplies credentialed doctors, lawyers, and engineers for RLHF preference data and adversarial red teaming that generalist annotators cannot produce.
- Team needing a benchmark number for a system cardPick: Surge AI
GDP.pdf, ComplexConstraints, Riemann-bench, and HANDBOOK.md are citable evaluations — OpenAI cited GDP.pdf in its GPT-5.6 release, where the flagship scored 30.7%.
- Enterprise builder training agents on complex professional documentsPick: Surge AI
MCP-native RL environments and EnterpriseBench target enterprise agent tasks, with a Python SDK and REST API for pipeline integration.
Frequently Asked Questions
Can I use ai-data-extractor to build a dataset for an AI lab?
It is not built for that. It extracts the chat history of the person running it, locally, so it produces your conversations — not a vetted, expert-graded corpus a lab would train on. Use it for your own datasets, backups, or analytics.
What does Surge AI charge per labeling task?
No rate card is published; pricing is contact-sales and engagements appear scoped around pilots for RLHF, red teaming, and benchmark work. If you need transparent per-unit pricing or instant self-serve signup, this is explicitly not the vendor for you.
Does ai-data-extractor support every assistant perfectly?
No. Claude Code, Codex CLI, Cursor, Continue, Gemini CLI, OpenCode, Cline, Roo Code, and Aider are parsed from documented local formats. Windsurf and Trae rely on heuristic parsers against undocumented schemas, so treat those as the fragile ones.
Which Surge benchmarks can I cite in a release or regulatory filing?
GDP.pdf for real-world professional PDF comprehension, Riemann-bench for extreme math verification, ComplexConstraints for entangled conditional instruction following, and HANDBOOK.md for long-context policy following up to 124 pages, plus the newer Tuesday Work Index composite.
Do I need an account or internet connection for ai-data-extractor?
No account and no upload — everything runs locally and your chat data never leaves your machine. You do need the Python environment and the assistant's history already written to disk.
What is the Tuesday Work Index?
A Surge composite benchmark launched to measure frontier AI performance across real professional work capabilities, drawing on its existing expert-built evaluations. Qwen 3.8 Max scored 58.7 on it, up 8.6 points from 3.7 Max.
What else are ai-data-extractor and Surge AI compared with?
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Analysis generated by our model pipeline from live data: