Top 6 of 13 alternatives
6 Maven AGI alternatives (2026)
The closest alternatives to Maven AGI in October 2026 are Ada, Fin and IrisAgent.
6 agents compared · entry plans $28.01 to $99 a month · 1 with a free plan · prices checked 3 September–21 October 2026
Reviewed by The Agents Index editorial team.
Maven AGI and its alternatives at a glance
| Agent | Best for | Starts at | Better than Maven AGI at | Checked |
|---|---|---|---|---|
| Maven AGI | On quote source | 25 September 2026 | ||
| Ada | Enterprises that want a long-running, well-capitalized AI support agent vendor with a public V2 REST API and an MCP server, rather than a sales-only integration surface. | On quote source | Writes code, Open models | 20 October 2026 |
| Fin | Support teams from mid-market to enterprise that want an AI agent layered over their existing helpdesk with pay-per-resolution economics, omnichannel coverage and a built-in tuning loop. | From $0.99/outcome source | How it meters, Free tier | 18 September 2026 |
| Zendesk AI agents | Support teams already committed to (or actively evaluating) Zendesk as their core helpdesk who want the AI agent to come from the same vendor and billing relationship, rather than layering a third-party agent on top. | From about $28/seat/month source | How it meters, Free tier | 3 September 2026 |
| Decagon | Large enterprises in retail, travel, fintech, health and telecom that want a heavily-funded, actively-improving AI agent to handle high-volume customer conversations across chat, voice and email, and that can run a multi-week, engineering-supported implementation. | On quote source | In your pipeline, Self-hosted | 21 October 2026 |
“About” figures are converted at the European Central Bank rate of 22 October 2026.
- 01
Ada
Agentic customer experience platform running AI support agents across voice, messaging and email.
Why it's on this listWrites code · PartlyAda does not write application code, but code tools are small Python functions a buyer can have drafted from a plain-language description through Ada's MCP Server, staged and promoted by a person.Source ↗
Where it improves on Maven AGI
- +Open models · PartlyAda internally hosts open-source LLMs for contextual understanding only; reply generation runs on the commercial providers and the customer selects neither.Source ↗
- +In your editor · PartlyNo coding-agent IDE surface, but Ada's MCP server can be connected from Cursor and VS Code, which lets a team manage and tune the agent from an editor rather than build software in one.Source ↗
Trade-offs against Maven AGI
- −Agent permissions · PartlyThe agent only runs tools an admin has activated, and Ada's own recommendation is to keep write tools behind a Playbook step so they execute inside a controlled flow rather than at the model's discretion; MCP tools are discovered but disabled until enabled.Source ↗
- −Model choice · NoAda chooses the models: it benchmarks a curated portfolio on accuracy, safety, latency and cost and promotes versions through its own evaluation pipeline, so model selection is the vendor's decision rather than a customer setting.Source ↗
- −Pooled budget · PartlyConsumption is metered per end-user conversation at the agent level rather than against per-user allowances, but no balance, pool or overage mechanics are published.Source ↗
- 02
Fin
Intercom's customer agent that resolves support conversations across chat, email, voice and social channels.
From $0.99/outcomeWhy it's on this listHow it meters · YesBilling is per resolved outcome rather than per seat or per token, with a second, ten-times-higher rate for sales qualifications and no charge for a conversation simply passed to a human.Source ↗
Where it improves on Maven AGI
- +Free tier · PartlyYou can start without a sales call, but only on a 14-day cardless trial: there is no standing free plan, though eligible early-stage startups get a year of Fin free under a separate programme.Source ↗
Trade-offs against Maven AGI
- −Claude · PartlyAnthropic is one of the providers Fin falls back to for resilience, but the answer model is Intercom's own Apex and the buyer is not offered a model picker, so Claude is under the hood rather than selectable.Source ↗
- −GPT · PartlyOpenAI models are part of the same automatic failover pool as Anthropic and Google, so GPT is used by the platform but is not a model the customer chooses or configures on any tier.Source ↗
- −Model choice · NoThe vendor chooses the model, not the buyer: answers come from Intercom's purpose-trained Apex suite and third-party providers are swapped in automatically, with no model selection published on any plan.Source ↗
- 03
IrisAgent
AI support agents that resolve chat, email, voice and text inside your existing helpdesk.
From FreeWhy it's on this listOpen models · PartlyOpen models are offered for the private, self-hosted deployment where weights run inside the buyer's own environment; the shared SaaS names only in-house or OpenAI-based models.Source ↗
Where it improves on Maven AGI
- +Self-hosted · PartlySelf-hosting is a separately purchased line, IrisAgent Private, installed in your data centre or your own AWS, Azure or GCP account; the standard Free and Standard plans are vendor-hosted SaaS.Source ↗
- +How it meters · YesThe published Standard plan is a monthly fee that scales with query volume, while the Managed Resolution line charges per resolved conversation with no seat or platform fee.Source ↗
Trade-offs against Maven AGI
- −Agent permissions · PartlyAutonomy is configurable per trigger: the same AI answer can be sent straight to the customer or posted as an internal note an agent approves, and enabling deflection everywhere is restricted to admins.Source ↗
- −Admin controls · PartlyAdmins control whether AI answers reach customers at all and scope them with trigger conditions, and role-based access is described for the private deployment; no general policy-engine documentation was found.Source ↗
- −Audit log · PartlyA full audit trail on every interaction is promised for the private deployment; for the hosted plans only trigger activity counts over 1, 7 or 14 days are documented.Source ↗
- 04
Zendesk AI agents
Customer-service AI agents for messaging, email and voice, billed per automated resolution.
From €25/seat (about $28)/monthWhy it's on this listHow it meters · YesTwo meters at once: per agent seat per month for the plan, plus per automated resolution beyond the plan allowance ($1.50 committed, $2.00 pay-as-you-go).Source ↗
Where it improves on Maven AGI
- +Free tier · Partly14-day self-serve trial with no card; there is no permanent free tier, and startups can apply for a longer free program.Source ↗
- +Bring your own key · PartlyNo bring-your-own-LLM-key or own-cloud inference. BYOK exists only as encryption-key control in a paid privacy add-on.Source ↗
Trade-offs against Maven AGI
- −Claude · PartlyClaude is not what powers the agent; it is reachable as an external action in action flows using your own Anthropic key.Source ↗
- −Model choice · NoZendesk selects the models: generative LLMs plus its own proprietary intent models. No model picker is documented.Source ↗
- −MCP server · PartlyZendesk is an MCP client: AI agents can call tools on external MCP servers from Suite Growth / Support Team upward. No vendor-documented MCP server exposing the AI agents to other agents.Source ↗
- 05
Decagon
Enterprise AI customer-service agents for chat, voice and email, built in natural language.
Why it's on this listIn your pipeline · PartlyAgent tests can be wired into CI/CD to gate every agent version, but the vendor does not claim the agent acts on pull requests in a code repository.Source ↗
Where it improves on Maven AGI
- +Self-hosted · PartlyOne FAQ sentence says the platform deploys headlessly inside your existing infrastructure, but no page documents a self-hosted edition, and hosting subprocessors are Google Cloud and AWS.Source ↗
- +How it meters · YesBilling is consumption-based on conversations or resolutions rather than seats, and the vendor says most enterprises pick per-conversation for predictable costs.Source ↗
Trade-offs against Maven AGI
- −Claude · PartlyAnthropic is named as one of the AI providers Decagon sends data to under zero-retention terms, but the buyer does not choose Claude and most traffic runs on Decagon's own models.Source ↗
- −GPT · PartlyOpenAI is named as an AI provider on the security page and listed as a subprocessor, so GPT models are in the stack without being a buyer-selectable option.Source ↗
- −Model choice · NoDecagon picks the models: over 80% of its model traffic runs on models it trained itself, and no page offers the buyer a model selector or bring-your-own-model path.Source ↗
- 06
Aide
Governed AI agent that resolves customer conversations end to end inside Zendesk, Front, Gorgias or Gmail.
From $99/monthWhy it's on this listSelf-hosted · PartlyStandard deployment is Aide's Azure US East 2 tenancy, but the vendor says it can provision into public or private clouds where residency demands it; that is vendor-provisioned, not customer-run, and no tier or terms are given.Source ↗
Where it improves on Maven AGI
- +How it meters · YesOne meter only, the conversation: each plan is a prepaid block, extra conversations bill at the plan rate ($0.50 on Starter down to $0.30 on Scale), and seats are never charged.Source ↗
- +Free tier · PartlyYou can start without a sales call through the Shopify app, but only as a 14-day trial capped at 250 conversations with a card on file; the vendor states outright there is no standing free plan.Source ↗
Trade-offs against Maven AGI
- −Runs autonomously · PartlyIt resolves whole conversations without a human once a Scenario is approved, but only on intents your team deployed and only when confidence clears the threshold; everything else escalates.Source ↗
- −Model choice · NoThe vendor picks the models: it states it runs its own, and gives buyers a 90-day deprecation notice rather than a model choice, which is a vendor-controlled model path, not a customer-selected one.Source ↗
- −API access · PartlyThe API is for connecting your systems into Aide, not a published API for driving Aide from your stack: custom back-office systems connect via API or MCP, and no developer documentation or endpoint reference is published on the site.Source ↗
What to watch for
- AdaEnterprise, sales-led only. No self-serve signup, no public pricing and no free trial.
- FinWhat counts as a billable "resolution" includes soft outcomes (customer stops replying), which can inflate spend relative to true resolutions.
- Zendesk AI agentsRequires an existing Suite Team-or-higher subscription for new customers; there is no way to buy AI Agents standalone unless you come in as a Forethought customer.
- DecagonEnterprise sales-led only, with no self-serve signup, published pricing or public developer API.
Side by side
Compare Maven AGI with the shortlist
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The digest
Which agents actually ship. New agents and articles, by email, at most once a week.
Questions buyers ask
What are the best alternatives to Maven AGI?
Ada, Fin and IrisAgent are the closest. They share the most of Maven AGI's features.
What is the cheapest alternative to Maven AGI?
IrisAgent has a free plan. The lowest paid plan is Zendesk AI agents, from about $28/seat/month. Price checked on 3 September 2026.
Which agents here have a free plan?
1 of the 6: IrisAgent.
When were these prices checked?
Between 3 September 2026 and 21 October 2026, each read on the maker's own pricing page.
Sources and method
Closest first: most of Maven AGI's features, then the fewest gaps. How we rank
Every price here was read on the agent maker's own pricing page.
- Maven AGI: mavenagi.com/compare/mavenagi-versus-sierra, checked 25 September 2026
- Ada: ada.cx/platform, checked 20 October 2026
- Fin: fin.ai/pricing, checked 18 September 2026
- IrisAgent: irisagent.com/pricing, checked 24 September 2026
- Zendesk AI agents: zendesk.com/pricing, checked 3 September 2026
- Decagon: decagon.ai/vs/sierra, checked 21 October 2026
- Aide: aide.app/pricing, checked 23 September 2026
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