Overall Score
29
Top 10%
of AI companies
by Allegro US🇺🇸
Stop stitching tools. Vivgrid’s AI agent platform delivers AI observability, debugging, evaluation, testing and deployment with globally distributed inference. Start free with $200 monthly credits & ship production-ready.
Vivgrid is an AI infrastructure platform designed to assist developers and startups in creating, testing, and deploying AI agents. The tool has several distinctive features including AI observability, debugging, testing, and evaluation capabilities. It also boasts a global GPU network for AI deploym...
Overall Score
29
Top 10%
of AI companies
Overall Score
29
GitHub Stars
—
Monthly Visits
6K
Community Rating
5.0
Vivgrid is an AI infrastructure platform designed to assist developers and startups in creating, testing, and deploying AI agents. The tool has several distinctive features including AI observability, debugging, testing, and evaluation capabilities. It also boasts a global GPU network for AI deploym...
Latest detected signals across traffic, developer activity and community mentions.
HN: "Decouple the Agent: Why Prompts, Tools, and Models Don't Belong in Yo…"
Indexed by indexator.ai
| Keyword | Volume / Mo | CPC |
|---|---|---|
| vivgrid | 480 | — |
| vivgrid affiliate program | 70 | — |
| chatgput | 390 | $0.37 |
Pay-as-you-go pricing
$0
Growth
$25
/ monthly
Vivgrid is an AI infrastructure platform designed to assist developers and startups in creating, testing, and deploying AI agents. The tool has several distinctive features including AI observability, debugging, testing, and evaluation capabilities. It also boasts a global GPU network for AI deploym...
Get notified when score, traffic, GitHub or community signals change.
Latest detected signals across traffic, developer activity and community mentions.
HN: "Decouple the Agent: Why Prompts, Tools, and Models Don't Belong in Yo…"
Indexed by indexator.ai
Six signals, each 0–100, blended into the overall by their listed weight.
Generated from public signals and search intent.
Each dimension is weighted (traffic 20% · community 25% · growth 15% · momentum 15% · innovation 10%) and combined into the overall.
| Keyword | Volume / Mo | CPC |
|---|---|---|
| vivgrid | 480 | — |
| vivgrid affiliate program | 70 | — |
| chatgput | 390 | $0.37 |
Growth
$25/ mo
Saves
115.2K
Rating
5.0
4 reviews
Views
2.5K
Category
Agents
Pros · 31
Cons · 10
Rating distribution
User reviews · 1
Really smooth experience with @Vivgrid, makes taking agents to production way easier.
Release history · 3+
Clawdbot is taking the internet by storm. Here is free LLM API for clawdbot agents. If you’re still struggling with high token usage, Vivgrid is worth a look. The latest version of Vivgrid offers free LLM API access for Clawdbot developers, with support for models like GPT-5.2 and Gemini 3 Pro — so you can build and experiment without worrying about costs. https://vivgrid.com/docs/tutorial/clawdbot
A new tracing feature has been released to help you observe and analyze AI agents’ responses.
Initial release of Vivgrid.
Q&A · 22
Vivgrid is an AI infrastructure platform that assists developers and startups in creating, testing, and deploying AI agents.
Vivgrid offers distinctive features such as AI observability, debugging, testing, evaluation capabilities, global GPU network for AI deployment, tracking of latency, cost, and other vital metrics, and a suite of features for developers to observe and debug AI agents. Additionally, Vivgrid automates performance scoring and quality checks, provides the ability to conduct human-in-the-loop evaluations before production, and enforces safety mechanisms like refusal rules and content filters.
The global GPU network on Vivgrid allows developers to deploy AI agents globally with low latency, track latency, cost, and other vital metrics in real time, and monitor live agent behavior with confidence.
Vivgrid assists users to observe and debug AI agents by providing comprehensive visibility into prompts, API calls, memory fetches, and tool usage. It also enables developers to track agent reasoning chains to better comprehend why the AI agents are succeeding or failing, enabling faster debugging of errors.
Yes, developers can track agent reasoning chains with Vivgrid to understand why the AI agents are succeeding or failing.
Alternatives — peer set
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Your vote helps improve ranking signals.
6 points · 0 comments · by
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<iframe src="https://indexator.ai/api/embed/card/vivgridv1-1-1" width="300" height="200" frameborder="0" style="border:none;border-radius:8px"></iframe>Category Leaderboard
Top 10 in Data & Infrastructure.
<iframe src="https://indexator.ai/api/embed/leaderboard?category=Data%20%26%20Infrastructure" width="300" height="400" frameborder="0" style="border:none;border-radius:8px"></iframe>