# Hex vs Vivgrid

Hex records 782,737 monthly visits with +10.8% month-over-month growth and Freemium, Free Trial, Paid, Contact for Pricing, Free pricing. Vivgrid records 3,743 monthly visits with +71.1% growth and Freemium pricing.

| Metric | [Hex](https://openaitools.app/tool/hex-tech) | [Vivgrid](https://openaitools.app/tool/vivgrid) |
| :--- | :--- | :--- |
| Website URL | https://hex.tech | https://vivgrid.com |
| Categories | AI For Data Analytics, AI App Builder, AI Copilot, Large Language Models (LLMs) | AI Agent, AI Developer Tools, AI Monitor, AI Testing |
| Pricing Model | Freemium, Free Trial, Paid, Contact for Pricing, Free | Freemium |
| Monthly Visits | 782,737 | 3,743 |
| MoM Growth Rate | +10.8% | +71.1% |
| Primary Market | United States | United States |
| Direct Visits | 621,753 | 1,479 |
| Review Score | 4.7 | 4.2 |
| Saved Count | 5 | 0 |
| Supported Platforms | Website | Website |

## Hex

Hex starts from a simple observation: dashboards tell you what happened, but they rarely answer the follow-up question. Its core is the Hex Agent, a conversational interface that plans a query, reasons over your organisation's context and returns an answer with the charts, tables and code that produced it. Because every answer is grounded in a semantic model and the underlying warehouse tables, users can inspect the SQL, check assumptions and trust the number before acting on it. The agent is reachable from the web workspace, from Slack, and from developer tools such as Claude and Codex via CLI and integrations.
Underneath the conversational layer sits a genuine notebook and app-building environment. Analysts write SQL, Python and R in the same project, chain cells into reproducible pipelines, and then turn selected cells into polished, parameterised data apps and dashboards that stakeholders can interact with. Hex 4.0 pushes this further with generative dashboards, AI app building and a Context Engine that keeps the company's definitions, metrics and semantics in one place. A Context Studio surfaces where the agent lacked grounding, and an Evals framework lets teams run graded test suites against the agent to measure accuracy over time.
That governance angle is what separates Hex from raw chat-with-your-data tools. Instead of an unsearchable answer in a side panel, you get a shareable, versionable artefact with lineage, plus a feedback loop that compounds context quality. It is used by data teams at a wide range of companies for self-serve exploration, executive reporting, embedded dashboards and operational analytics, with free, paid and enterprise tiers covering individuals through to regulated organisations needing SSO and advanced security.

**Pricing & Plans:** Freemium with a free tier to get started, paid plans for growing teams, and enterprise pricing (quoted on request) that adds governance, SSO and advanced security. A free trial is available for paid tiers.

- **Conversational Hex Agent:** Ask a question in plain language and get a reasoned answer with the SQL, charts and tables behind it, available in the Hex workspace, in Slack and from developer tools.
- **Notebooks and app builder:** Write SQL, Python and R side by side in one project, then turn cells into interactive, parameterised data apps and dashboards without a separate BI authoring tool.
- **Context Engine and Context Studio:** Centralise metrics, semantics and corporate definitions so answers stay consistent, and see exactly where the agent lacked grounding so you can fix it.
- **Evals for agent accuracy:** Run graded, rubric-based test suites against the agent to measure answer quality and catch regressions as your data and context evolve.
- **Generative dashboards and governance:** Produce dashboards from natural language, embed them where teams work, and manage access with enterprise-grade permissions and security.

**Strengths:** Unifies exploration, notebooks, dashboards and app building so teams stop paying for four overlapping tools; Answers are grounded in a semantic model and warehouse tables, and stay inspectable rather than opaque; Slack, CLI and developer-tool integrations meet users where they already work; Context Studio and Evals turn context quality into something measurable and improvable

**Limitations:** The full value depends on having a reasonably well-modelled warehouse, so it is heavier to adopt than a simple chat tool; The notebook-plus-agent surface is feature-rich enough to need onboarding for non-technical users; Governance and advanced security features are reserved for higher-priced and enterprise plans

[Profile (Markdown)](https://openaitools.app/tool/hex-tech.md)

## Vivgrid

Vivgrid positions itself around a concept it calls Managed Skills: serverless LLM function calling hosted in the cloud. Instead of running agent tools on individual developer laptops or bundling them into client releases, the tools live on Vivgrid with centralized security, auditing, and instant iteration. Because system prompts, models, and tools are managed server-side and decoupled from the client, teams can change agent behavior in minutes rather than waiting for a release cycle. Skills are updated once and every agent that uses them gets the new version immediately.

Beyond hosting, Vivgrid wraps the agent lifecycle in production tooling. Full traces make every prompt, tool call, and decision visible so you can find the exact step where an interaction failed. Evaluation lets you catch regressions before they reach customers, and guardrails help keep agents on-brand and on-policy. Multi-agent workflows are supported with stateful memory scoped to agents and organizations rather than just individual users.

Underneath, Vivgrid serves frontier models including the GPT, Claude, Gemini, and DeepSeek families through a framework-agnostic API from geo-distributed providers, aiming for sub-50 ms inference for global users. The vendor is Allegro US, LLC, based in San Francisco. Enterprise options add BYOC (bring your own GPUs), SSO/SAML, audit logs, VPC and private deployments, data residency, and custom SLAs.

**Pricing & Plans:** Freemium with three tiers. Free starts at $0 with pay-as-you-go model usage, Managed Skills and Memory included, 5M TPM / 100 RPM rate limits, 1-day API log retention, and email support. Growth is $25/month and includes $25 in token credits each month, higher limits (15M TPM / 3,000 RPM), latest frontier models, Agent Insights, and 90-day log retention. Enterprise is custom-priced and adds BYOC, volume pricing, custom SLAs, SSO/SAML, audit logs, VPC/private deployments, and data residency. Model usage is billed per token. Approved open-source maintainers can request $200/month in free credits.

- **Managed Skills:** Serverless LLM function calling hosted in the cloud, so agent tools are decoupled from client releases and update instantly for every agent.
- **Tracing & Debugging:** Full visibility into every prompt, tool call, and decision so you can locate the exact step where an agent interaction went wrong.
- **Evaluation & Guardrails:** Catch regressions before they reach customers and keep agents on-brand and on-policy with built-in safety rules.
- **Geo-distributed Inference:** Framework-agnostic access to GPT, Claude, Gemini, and DeepSeek families served from globally distributed providers for low latency.
- **Agent Insights & BYOC:** See what customers ask and what it costs, and on Enterprise route sensitive requests to your own GPUs while keeping API keys in your cloud.

**Strengths:** Keeps prompts, models, and tools server-side so agents improve without client release cycles; Bundles observability, evaluation, guardrails, and orchestration in one platform; Framework-agnostic API spans frontier model families from multiple providers; Geo-distributed inference targets sub-50 ms latency for global users

**Limitations:** Managed Skills approach assumes you accept server-side hosting of agent tool calls; Per-token model usage is billed on top of the subscription, so total cost scales with traffic; Advanced governance features like SSO, audit logs, and VPC are Enterprise-only; Some capabilities such as Agent Insights require the paid Growth tier

[Profile (Markdown)](https://openaitools.app/tool/vivgrid.md)

## Frequently Asked Questions

### How do Hex and Vivgrid compare in monthly traffic?

Hex has 782,737 monthly visits, while Vivgrid has 3,743. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Hex has a month-over-month growth rate of +10.8%; Vivgrid has +71.1%.

### How does pricing compare?

Hex: Freemium, Free Trial, Paid, Contact for Pricing, Free. Freemium with a free tier to get started, paid plans for growing teams, and enterprise pricing (quoted on request) that adds governance, SSO and advanced security. A free trial is available for paid tiers. Vivgrid: Freemium. Freemium with three tiers. Free starts at $0 with pay-as-you-go model usage, Managed Skills and Memory included, 5M TPM / 100 RPM rate limits, 1-day API log retention, and email support. Growth is $25/month and includes $25 in token credits each month, higher limits (15M TPM / 3,000 RPM), latest frontier models, Agent Insights, and 90-day log retention. Enterprise is custom-priced and adds BYOC, volume pricing, custom SLAs, SSO/SAML, audit logs, VPC/private deployments, and data residency. Model usage is billed per token. Approved open-source maintainers can request $200/month in free credits.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Composio](https://openaitools.app/tool/composio) | 2,782,603 | +22.8% | Freemium, Contact for Pricing | Give your AI agents secure, authenticated access to 1,700+ apps | [.md](https://openaitools.app/tool/composio.md) |
| 2 | [Julius AI](https://openaitools.app/tool/julius-ai) | 665,487 | +5% | Free Trial, Contact for Pricing | Faster for ad hoc statistical analysis and data visualization from natural language, but lacks Hex's robust notebook workflows. | [.md](https://openaitools.app/tool/julius-ai.md) |
| 3 | [BLACKBOX.AI](https://openaitools.app/tool/blackbox-ai-1) | 622,975 | -27.2% | Free Trial, Paid | High-trust frontier inference, encrypted end to end | [.md](https://openaitools.app/tool/blackbox-ai-1.md) |
| 4 | [Mastra](https://openaitools.app/tool/mastra) | 318,954 | -5% | Freemium, Contact for Pricing | The TypeScript framework for building, deploying, and observing AI agents | [.md](https://openaitools.app/tool/mastra.md) |
| 5 | [Morph](https://openaitools.app/tool/morph-apply-ai-edits-to-files-fast) | 306,961 | +9.5% | Free Trial, Contact for Pricing | Fast Apply and agent-tuned inference for coding agents | [.md](https://openaitools.app/tool/morph-apply-ai-edits-to-files-fast.md) |
| 6 | [Arize AI](https://openaitools.app/tool/arize-com) | 249,028 | +3.2% | Paid, Contact for Pricing | Agent observability, evaluation, and continuous improvement for production AI | [.md](https://openaitools.app/tool/arize-com.md) |
| 7 | [Portkey](https://openaitools.app/tool/portkey-ai) | 195,650 | -9.4% | Freemium, Paid, Contact for Pricing | AI gateway, observability and guardrails for production LLM apps | [.md](https://openaitools.app/tool/portkey-ai.md) |
| 8 | [Future AGI](https://openaitools.app/tool/future-agi) | 121,741 | -7.8% | Freemium, Usage-based | Build, simulate, evaluate and monitor self-improving AI agents | [.md](https://openaitools.app/tool/future-agi.md) |
| 9 | [Maxim AI](https://openaitools.app/tool/maxim-ai) | 121,351 | +10% | Contact for Pricing, Free Open Source | Evaluate, monitor, and govern your AI applications in production | [.md](https://openaitools.app/tool/maxim-ai.md) |
| 10 | [Respan](https://openaitools.app/tool/respan) | 91,503 | -14.5% | Freemium | Open-source AI gateway with observability and evals built in | [.md](https://openaitools.app/tool/respan.md) |

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Source: https://openaitools.app/compare/hex-tech-vs-vivgrid

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)