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LangSmith VS Underscore Done

Compare LangSmith VS Underscore Done and see what are their differences

LangSmith

Build and deploy LLM applications with confidence

Rating
0 reviews
Alternatives Is it good?
Underscore Done

Real-world tasks your agent can't do alone.

Rating
0 reviews
Pricing
Paid $0.01 (Per api call)
Alternatives Is it good?
Tacit AI
FMEAs that stay current. Tacit AI builds DFMEAs, PFMEAs and FMECAs from your design specs, process documents, manuals and failure reports, and updates them as they change. sponsored

Which is more popular?

Based on our record, Underscore Done seems to be more popular. It has been mentioned 1 time since March 2021.

social mentions
0 vs 1
AI popularity
97% vs 3%
alternatives listed
221 vs 2

Base details

Website, pricing, platforms and company facts side by side.

LangSmith
Underscore Done
Website langchain.com underscoredone.com
Pricing โ€”
Paid $0.01 (Per api call) Official pricing
Company โ€” Startup from the United States ยท 2026
Listed in
AI Developer Tools Productivity Help Desk +1
APIs Developer APIs AI Agents AI +1

About LangSmith and Underscore Done

In their own words, as submitted to SaaSHub.

LangSmith
Underscore Done

No description of LangSmith yet.

Underscore Done (_done) is a suite of pay-per-call utility APIs built for AI agents. No API keys, no subscriptions - agents pay per request with USDC via the x402 protocol

Read more about Underscore Done

Features and specs

What each product offers, as listed by its team.

LangSmith 4 features
Underscore Done 0 features
  • Enhanced Workflow Integration
    LangSmith provides seamless integration with existing workflows, allowing for a streamlined process when incorporating language models into various applications.
  • User-Friendly Interface
    The platform features an intuitive and user-friendly interface, making it accessible for both technical and non-technical users to navigate and utilize effectively.
  • Advanced Language Model Support
    LangSmith offers support for a wide range of advanced language models, enabling users to choose the best fit for their specific needs.
  • Comprehensive Analytics
    Users have access to comprehensive analytics tools that allow for detailed monitoring and evaluation of language model performance.

Possible disadvantages

  • Cost Considerations
    Depending on the scale and frequency of use, LangSmith can become costly, potentially making it less accessible for smaller organizations or individual developers.
  • Learning Curve
    While user-friendly, mastering all features of LangSmith may require some time and effort, especially for users who are less experienced with language models.
  • Limited Customization
    Some users might find the customization options for certain aspects of the platform to be limited compared to building a solution in-house.
  • Dependency on Internet Connectivity
    LangSmith, being a cloud-based service, relies heavily on a stable internet connection, which can be a limitation in regions with poor connectivity.

No features have been listed yet.

Analysis

An editorial look at what each product does well and who it suits.

LangSmith
Underscore Done

Overall verdict

  • LangSmith is a valuable tool for developers working in the field of natural language processing or any project involving language models. Its comprehensive toolset for managing and optimizing interactions with LLMs provides a significant advantage, enhancing both productivity and the quality of applications built with it.

Why this product is good

  • LangSmith, the platform from LangChain, offers a suite of tools and features that facilitate building applications powered by language models. It provides capabilities like prompt management, evaluation, and debugging, which are essential for developers working with LLMs. These features make it easier to manage, refine, and optimize the performance of language model applications.

Recommended for

    LangSmith is recommended for AI developers, machine learning engineers, and businesses aiming to build, test, and optimize applications based on language models. It is particularly useful for teams that require robust evaluation tools and a streamlined process for managing and deploying language-driven applications.

No analysis of Underscore Done yet.

Videos

Walkthroughs and reviews on video.

LangSmith 1 video + Add
Underscore Done 0 videos + Add

๐Ÿฆœ๐Ÿ› ๏ธ Getting started with LangSmith - Integrating with LANGCHAIN powered Web Applications & Chatbots

No Underscore Done videos yet. You could help us improve this page by suggesting one.

Category popularity

How often each product is chosen within a category, 0โ€“100% relative to the other.

Score bands 0โ€“20 21โ€“40 41โ€“50 51โ€“60 61โ€“100
LangSmith
Underscore Done
97% 97%
AI
3% 3%
93% 93%
AI Agents
7% 7%
100% 100%
Developer Tools
0% 0%
0% 0%
APIs
100% 100%

Questions & Answers

As answered by people managing LangSmith and Underscore Done.

What makes your product unique?

Underscore Done's answer:

We provide data and actions that AI cannot achieve.

Also we don't require accounts, registration, api keys. And we charge per usage and never charge monthly subscriptions.

How would you describe the primary audience of your product?

Underscore Done's answer:

Ai Agents that work on behalf of people.

User comments

Share your experience with using LangSmith and Underscore Done. For example, how are they different and which one is better?

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Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

LangSmith 0 mentions
Underscore Done 1 mention

Tracking LangSmith since Jul 2023.

  • Why I'm Passionate About x402
    _done is a catalog of small, pay-per-call utility APIs aimed at AI agents: things like DNS and WHOIS lookups, screenshots, OCR, hashing, QR codes, and SEO extraction. Every call costs one cent in USDC over x402. There's no account and no... - Source: dev.to / 13 days ago

Alternatives to LangSmith and Underscore Done

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