Agentic Index
Distyl AI vs Relevance AI (2026)
Both deploy multi agent systems into a business and they differ entirely on who does the work, at 11.5 and 11 of 14. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.
Relevance is self serve: a no code tool builder to construct your own agent workforce, free to 200 actions then 19 dollars for Pro. Distyl is delivered by forward deployed engineers, turning organizational knowledge into audited routines running inside Fortune 500 production systems, priced on outcomes. Nineteen dollars a month against an outcome based enterprise engagement is not a pricing difference, it is a different kind of purchase.
This comparison is published by Agentic Index, an independent agentic AI vendor research platform. Distyl AI and Relevance AI are each graded against the same 14 capability Agentic Index taxonomy, from the vendor's own public materials under the Agentic Index verification standard, alongside 969 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded
Choose Distyl AI if
- Documented coverage is slightly broader and you want engineers embedded to deliver this.
- Audited routines inside production systems is the bar your environment sets.
- Outcome based pricing means the vendor carries delivery risk with you.
Choose Relevance AI if
- Your team will build this themselves and nineteen dollars removes the decision.
- A no code builder is the right surface for your users.
- You want to start this week rather than scope an engagement.
| At a glance | Distyl AI | Relevance AI |
|---|---|---|
| Category | Multi-agent platform | Multi-agent platform |
| Entry price | Custom, outcome based (contact sales) | Free (200 Actions/mo) · Pro $19/mo annual ($29 monthly) |
| Free / trial | — | Free |
| Pricing confidence | contact only | public partial |
| Feature | D Distyl AI |
R Relevance AI |
|---|---|---|
| Action & orchestration | ||
|
Integrations & Tool Calling Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools. |
Full / Explicit | Full / Explicit |
|
Workflow Orchestration Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps. |
Full / Explicit | Full / Explicit |
|
Triggers & Channel Coverage How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools. |
Full / Explicit | Full / Explicit |
| Knowledge & context | ||
|
Knowledge Grounding & RAG Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers. |
Full / Explicit | Full / Explicit |
|
Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
Full / Explicit | Full / Explicit |
| Control & trust | ||
|
Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
Full / Explicit | Partial |
|
Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
Full / Explicit | Full / Explicit |
|
Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
Full / Explicit | Partial |
|
Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting. |
Partial | Partial |
| Solution readiness | ||
|
Prebuilt Agents, Templates & Packs Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value. |
Partial | Full / Explicit |
| Platform extensibility | ||
|
Model Flexibility & Routing Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys. |
Full / Explicit | Full / Explicit |
|
APIs, SDKs & MCP Extensibility Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems. |
Partial | Full / Explicit |
|
Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
Full / Explicit | Partial |
| Specialist automation | ||
|
Browser & Computer Use Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone. |
No / Not documented | No / Not documented |
Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing | D Distyl AI |
R Relevance AI |
|---|---|---|
|
Entry price Lowest public entry point |
Custom, outcome based (contact sales) | Free (200 Actions/mo) · Pro $19/mo annual ($29 monthly) |
|
Pricing confidence How public the numbers are |
Contact only | Public, partial |
|
Billing Primary billing axis |
— | actions + vendor credits |
|
Variable cost Workload / overage exposure |
High variable cost | High variable cost |
|
Free tier / trial Try before you buy |
No free tier
|
Free tier
|
|
Buying motion Self-serve vs sales call |
— | Self-serve |
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