AI · head to head
Lindy vs Arize AI

Lindy
AI
AI teammate that automates work across your entire software stack
- From
- Free
- Rated
- -

Arize AI
AI
AI engineering platform for observability and evaluation of agents and LLM apps
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Lindy requires per-user subscription, which scales costs with team size; Arize AI the free plan caps trace spans at 25,000 per month with only 15 days of retention.
- They diverge on capability: Lindy covers Slack integration, Arize AI covers End-to-end tracing.
Where they differ
Only the attributes on which Lindy and Arize AI actually diverge.
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (AI).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Lindy
- Slack integration
- Email automation
- Meeting transcription
- Scheduled routines
- 1,000+ app integrations
- Skill library
- Editable memory
- MCP support
Only in Arize AI
- End-to-end tracing
- Evaluation framework
- Prompt testing and improvement
- Alyx AI engineering agent
- Custom dashboards
- Data warehouse integrations
What people use each for
The jobs each tool is most often brought in to do.
Lindy
- Automating email and calendar management across teamsnot Arize AI
- Transcribing and summarizing meetings automaticallynot Arize AI
- Updating CRM systems with meeting notes and leadsnot Arize AI
- Generating daily reports and weekly briefsnot Arize AI
- Processing structured data from multiple applicationsnot Arize AI
Arize AI
- Tracing and debugging production AI agentsnot Lindy
- Running large-scale evaluations across traces and sessionsnot Lindy
- Improving prompts before production rolloutnot Lindy
- Storing and querying GenAI traces alongside a data warehousenot Lindy
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Lindy
- Requires per-user subscription, which scales costs with team size
- Limited free trial period of 7 days may not allow full evaluation
- Credit system complexity could be confusing for new users
- Not designed for technical teams as primary tool
Arize AI
- The free plan caps trace spans at 25,000 per month with only 15 days of retention.
- Self-hosted deployment and Data Fabric integration are restricted to the custom-priced Enterprise tier.
- Pricing beyond the $50/month Pro plan requires a custom quote, making cost planning less transparent at scale.
- Advanced compliance features like HIPAA are only available on Enterprise.
Pricing, plan by plan
Lindy
Free- Free TrialFree
- 7-day free trial for new team members joining via Slack
- Plus$29.99/month
- 3,000 credits per month
- Slack integration
- Email automation
- Pro$99.99/month
- 15,000 credits per month
- All Plus features
- Advanced automation
- Max$199.99/month
- 35,000 credits per month
- All Pro features
- Priority support
Arize AI
Free- AX FreeFree
- 25k trace spans/month
- 1 GB storage/month
- 15-day retention
- AX Pro$50/month
- 50k trace spans/month
- 10 GB storage/month
- 30-day retention
- AX Enterprise$undefined/mo
- Custom trace spans, storage, and retention
- SaaS or self-hosted deployment
- Managed agents and Data Fabric
Which should you pick?
Choose Lindy if
- You need slack integration.
- You want to start without paying.
- You work on Web, Slack, Email, Mobile.
- You also want email automation.
Choose Arize AI if
- You need end-to-end tracing.
- You want to start without paying.
- You work on web, api.
- You also want evaluation framework.
Questions people ask
- Is Lindy or Arize AI better?
- Neither clearly leads. Lindy starts at Free and Arize AI at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Lindy or Arize AI?
- Lindy starts at Free and Arize AI at Free.
- Does Lindy or Arize AI run on more platforms?
- Lindy runs on Web, Slack, Email, Mobile. Arize AI runs on web, api.
- Can I use Lindy for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Lindy best used for?
- Lindy is most often used for automating email and calendar management across teams, transcribing and summarizing meetings automatically, updating crm systems with meeting notes and leads, generating daily reports and weekly briefs. Of those, automating email and calendar management across teams and transcribing and summarizing meetings automatically are not what Arize AI is typically brought in for.
- What can Lindy do that Arize AI cannot?
- Lindy covers Slack integration, Email automation, Meeting transcription, Scheduled routines. Arize AI covers End-to-end tracing, Evaluation framework, Prompt testing and improvement, Alyx AI engineering agent.
Answered from the vendors’ own pages
Lindy: How does Lindy maintain data privacy and security?
Lindy is SOC 2 Type II, GDPR, HIPAA, and PIPEDA compliant. Data is encrypted in transit and at rest. The platform never sells your data or uses it to train models. Enterprise plans include signed BAAs and audit logs.
SourceArize AI: What does Arize AX cost?
Arize AX offers a free plan, a Pro plan at $50/month, and a custom-priced Enterprise plan, with pricing based on trace spans, storage, and retention needs.
SourceLindy: Can we start with a free trial?
New team members joining through Slack receive a 7-day free trial before being billed. Direct signups are charged immediately. There is no permanent free tier after the trial.
SourceArize AI: Is there a free plan, and what are its limits?
The AX Free plan includes 25,000 trace spans and 1 GB of storage per month with 15-day retention, plus unlimited users, evaluations, and experiments.
SourceLindy: How many applications can Lindy integrate with?
Lindy connects to over 1,000 applications including Gmail, Notion, HubSpot, GitHub, Stripe, and others, with support for Model Context Protocol servers for custom integrations.
SourceArize AI: What deployment options are available?
Free and Pro plans are SaaS-only, while Enterprise customers can choose SaaS or self-hosted deployment with custom SLAs.
SourceRelated pages
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