# Arize AI vs Vivgrid

Arize AI records 249,028 monthly visits with +3.2% month-over-month growth and Paid, Contact for Pricing pricing. Vivgrid records 3,743 monthly visits with +71.1% growth and Freemium pricing.

| Metric | [Arize AI](https://openaitools.app/tool/arize-com) | [Vivgrid](https://openaitools.app/tool/vivgrid) |
| :--- | :--- | :--- |
| Website URL | https://arize.com | https://vivgrid.com |
| Categories | Large Language Models (LLMs), AI Agent, AI Monitor, AI Developer Tools | AI Agent, AI Developer Tools, AI Monitor, AI Testing |
| Pricing Model | Paid, Contact for Pricing | Freemium |
| Monthly Visits | 249,028 | 3,743 |
| MoM Growth Rate | +3.2% | +71.1% |
| Primary Market | United States | United States |
| Direct Visits | 107,838 | 1,479 |
| Review Score | 4.6 | 4.2 |
| Saved Count | 1 | 0 |
| Supported Platforms | Website | Website |

## Arize AI

Arize is an AI engineering platform built for teams that run generative AI in production. It is split into two products: Arize AX, a managed environment for agent observability, evaluation, and experimentation, and Phoenix, an open-source tracing and evaluation library that teams can self-host when they need full data control. Both rely on OpenInference, the open-source semantic convention for generative AI tracing that the Arize team founded and that is built on OpenTelemetry.

The workflow follows three questions. Observe answers what an agent actually did by capturing every span, trace, and session; Evaluate answers whether quality is improving or regressing using span-level, trace-level, and session-level evals; Learn answers whether a proposed change will help by letting teams test prompts and harnesses before rollout. A datastore for GenAI traces (ADB) keeps data in open formats that connect to warehouses such as BigQuery, Databricks, and Snowflake, and an in-app AI engineering agent named Alyx surfaces issues and drafts review-ready fixes.

The platform integrates with dozens of models, frameworks, and tools, including OpenAI, Anthropic, Google, Amazon Bedrock, LangChain, LangGraph, LlamaIndex, CrewAI, and DSPy. Arize publishes compliance certifications including SOC 2 Type II, ISO 27001, PCI DSS, HIPAA, and GDPR, and supports cloud, hybrid, and self-hosted deployment.

**Pricing & Plans:** Arize uses a paid model with a free entry point: teams can start free or book a demo, while enterprise-scale usage, deployment options, and support are quoted through a contact-sales process. The open-source Phoenix project is free to self-host.

- **End-to-end tracing:** Capture spans, traces, and sessions across agents and LLM calls using OpenInference conventions built on OpenTelemetry, so instrumentation stays portable.
- **Scalable evaluation framework:** Run evaluations at span, trace, and session level to grade retrieval quality, tool use, and final answers across large production datasets.
- **Alyx AI engineering agent:** An in-product agent that inspects traces, diagnoses likely root causes, and proposes fixes that engineers can review before shipping.
- **Phoenix open-source toolkit:** Self-host the leading open-source tracing and eval tool when you need to keep trace data inside your own infrastructure.
- **Warehouse-native trace storage:** ADB stores traces in open formats that connect natively to BigQuery, Databricks, or Snowflake for joint analytics with business data.

**Strengths:** Covers the full loop of observe, evaluate, and improve rather than stopping at dashboards; Backed by OpenInference and OpenTelemetry standards, limiting vendor lock-in on trace formats; Strong enterprise posture with SOC 2, ISO 27001, HIPAA, and GDPR coverage plus self-hosting options; Integrates with a very wide set of models, frameworks, and agent SDKs

**Limitations:** Self-serve pricing is not published, so cost requires a sales conversation; The breadth of features can be overwhelming for small teams shipping their first LLM feature; Full value depends on disciplined instrumentation across the whole application

[Profile (Markdown)](https://openaitools.app/tool/arize-com.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 Arize AI and Vivgrid compare in monthly traffic?

Arize AI has 249,028 monthly visits, while Vivgrid has 3,743. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Arize AI has a month-over-month growth rate of +3.2%; Vivgrid has +71.1%.

### How does pricing compare?

Arize AI: Paid, Contact for Pricing. Arize uses a paid model with a free entry point: teams can start free or book a demo, while enterprise-scale usage, deployment options, and support are quoted through a contact-sales process. The open-source Phoenix project is free to self-host. 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 | [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) |
| 3 | [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) |
| 4 | [Weights & Biases (CoreWeave Forge)](https://openaitools.app/tool/prompts) | 315,624 | -80.2% | Freemium, Contact for Pricing, Free | Excels at experiment tracking and model registry workflows, but is less purpose-built for real-time LLM production observability. | [.md](https://openaitools.app/tool/prompts.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 | [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) |
| 7 | [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) |
| 8 | [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) |
| 9 | [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) |
| 10 | [PromptLayer](https://openaitools.app/tool/promptlayer) | 85,899 | -4.6% | Free Trial, Contact for Pricing | Focuses heavily on prompt management and versioning control, whereas Arize prioritizes end-to-end tracing and ML observability. | [.md](https://openaitools.app/tool/promptlayer.md) |

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Source: https://openaitools.app/compare/arize-com-vs-vivgrid

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