Naïve
Declarative agent infrastructure where autonomous agents spend money, hold identity, and run under policy committed to code.
Naïve is the rare agent platform where governance is load-bearing rather than a dashboard afterthought — budgets and tool policy live in the same committed naive.config.ts as the agents, and the file is immutable to the agents it governs. The $20/mo Standard plan with $20 of included credit, no per-seat fee, and zero metering on MCP, SDK, and CLI is unusually honest for this category, and publishing per-second computer rates ($0.0666 per running hour at 1 vCPU / 1 GiB) plus a $0 paused rate means idle agents cost nothing. Pick it if your agents need to move money, hold KYC-backed identity, or run for hours unattended; skip it if your workload is a single chatbot with no budget to enforce.
Verified 4d ago · liveness 75/100 · cite: rightaichoice.com/tools/naive
- Developers building autonomous agents that must spend money and hold real-world identity
- Teams running multi-agent systems that need hard budget caps and approval gates on tool calls
- Founders deploying a running company blueprint — clipping, SEO agency, recruiting — from a template
- Engineering orgs replacing a DIY AWS + Stripe + payments stack with one declarative config
- Non-technical users who want a no-code agent builder — a committed config file and CLI are the entry fee
- Enterprises requiring on-premise or private-cloud deployment out of the box
- Simple single-purpose chatbots that never need identity, payments, or policy enforcement
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Skip Naïve if you want a no-code agent builder or an instant-response chatbot — Naïve assumes you will commit a naive.config.ts and drive it from the CLI, Studio, or an agent runtime like Claude Code.
Every call past your included credit bills at published rates — web search $0.002158 and web fetch $0.001079 per call — so research-heavy agents burn credit faster than a chat workload would.
Standard at $20/mo with $20 of credit included and Pro at $200/mo with $200 of credit are flat per-organization prices — no per-seat fee however many people use the organization — which undercuts per-seat agent platforms once a team passes a handful of users. Past the included credit both plans use identical published rates, so Pro is purely a larger credit bucket. Custom (Managed) adds committed-volume pricing, invoicing and PO terms, a monthly allowance, and a security review and DPA for
In short
Naïve — Declarative agent infrastructure where autonomous agents spend money, hold identity, and run under policy committed to code. Best for Developers building autonomous agents that must spend money and hold real-world identity, Teams running multi-agent systems that need hard budget caps and approval gates on tool calls, Founders deploying a running company blueprint — clipping, SEO agency, recruiting — from a template. Free to start; paid plans from $20/mo.
What's new in Naïve
Checked 4 days agoAcross the latest 3 updates: 1 feature update, 1 launch and 1 community discussion.
Naïve launches Vetta, a managed agent for long-horizon tasks
Vetta ships as Naïve's managed agent for long-horizon tasks; vendor claims 2.7x cheaper task completion than the next-best harness on the same model and tasks.
Naïve adds per-session micro-VM to Vetta
Each Vetta session gets an isolated Linux micro-VM with shell, filesystem and optional browser; VMs pause between turns so idle agents cost storage only.
Naïve publishes guide on the AI-native cloud
Guide frames an AI-native cloud as the hosting and data slice agents provision by API — apps, Postgres, storage, functions, auth, compute, queues, sandboxes — gated by allow/ask/deny policies and a USD budget.
What people actually say about Naïve — is it worth it?
We scanned public community sources for Naïve on Jul 6, 2026 and could not establish that the discussion we found is about this tool rather than something else sharing its name. Our own analysis of that scan says the posts were off-subject. Rather than publish a sentiment score built on the wrong subject, we publish nothing here and re-run the scan.
Viability Score
How well maintained and how widely used is Naïve? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- Declarative infrastructure as code via naive.config.ts with a strict defineProject entrypoint
- Rejects undeclared config fields
- Per-agent daily and per-task budgets declared in one committed file
- Tool policy map with allow / ask / deny rules
- Agents cannot edit the config file that binds them
- Multi-agent orchestration: goals decomposed and delegated across agent teams
- Per-agent registered AGT ID, verified email, verified phone, domain with DNS
- Per-agent third-party account linking limited to the tools its role needs
- US phone numbers with KYC and SMS OTP, including a sole-proprietor tier with no LLC or EIN
- Vetta managed runtime with sessions, events, and long-horizon durable execution
- Per-session isolated Linux micro-VM with shell, filesystem, and optional browser
- Computers pause between turns and meter $0 while paused
- Completion windows chosen per request: immediate, priority, or loose tariffs
- Skills — persisted, versioned expertise loaded with progressive disclosure
- Files — durable organization-scoped storage for session artifacts
About Naïve
Naïve (usenaive.ai) is agent infrastructure for teams whose autonomous agents need to actually run a business rather than just answer questions. Instead of wiring AWS, Stripe, and a payment processor together yourself, you write one naive.config.ts and the control plane enforces it: per-agent daily budgets, per-task caps, and tool policy such as "social.post": "ask" or "payments.send": "deny". Agents cannot edit the file that binds them. Identity is provisioned per agent, not per team — the vendor page shows each agent receiving a registered AGT ID (producer · AGT-7F3K), a verified email, a verified phone, a domain with DNS, and third-party accounts linked only for the role it performs. Multi-agent orchestration is a first-class concept: a goal is decomposed, delegated to named agents, and run in parallel until finished, as in the page example where a CEO agent splits work to a clipper and a producer that fans out to four subagents. Naïve's docs describe two names on one stack — Vetta is the managed agent runtime (agents, sessions, computers, skills, budget, real-USD billing), and Naïve is the blueprints, templates, and Studio on top of it. Prebuilt company templates carry much of the setup: Naive Clipping v1 (917,438 runs), Short Form v1 (483,271 runs), SEO / GEO Agency (178,326 runs), AI Automation Agency (152,904 runs), plus Long Form, Newsletter, and themed clip channels. You deploy from the browser in Studio or from a terminal, or paste a setup prompt into Claude Code, Codex, Cursor, Hermes, or OpenClaw. Pricing is one organization plan, not per seat: $20/mo Standard with $20 of credit included each month, or $200/mo Pro with $200 of credit, then metered per call at published rates. You need to be comfortable with a committed config file and a CLI.
Behind the Verdict
What separates Naïve from the crowded agent-framework field is that the governance layer is the product, not a feature bolted onto it. In naive.config.ts you declare agents, delegation, a perAgentDay and perTask budget, and a policy map where each tool is allow, ask, or deny — the page's own example sets "social.post": "ask" and "payments.send": "deny". The vendor states plainly that no agent can edit the file that binds it, which is what makes the budget a budget rather than a suggestion an agent can talk its way past. Identity is the second differentiator. Rather than one shared team credential, each agent is issued a registered AGT ID, a verified email, a verified phone, a domain with DNS, and a scoped set of linked third-party accounts — a producer gets video tooling, not the payments credential. The /phone primitive was updated in August 2026 to add a sole-proprietor tier: carrier-registered US numbers with KYC and SMS OTP without an LLC or EIN, which removes a real barrier for solo operators. On cost, the docs are unusually specific. A session's computer is 1 vCPU / 1 GiB, so a full running hour is $0.0504 + $0.0162 = $0.0666, and a computer paused costs $0 with no creation fee and the boot disk inside the allowance. Web search is $0.002158 per call and web fetch $0.001079 per call, booked from what the provider charged, and a fetch refused by domain policy is stopped before the request and costs nothing. Model inference is metered per token across five disjoint tiers (input, cached reads, cache writes, output, reasoning), and you choose a completion window per request — immediate, priority, or loose — with the vendor advising you pay the interactive tariff only when a person is waiting and run overnight work on loose for materially less. Vetta, launched 17 August 2026 as Naïve's managed agent for long-horizon work, is positioned on cost per finished task; the vendor claims 2.7x cheaper task completion than the next-best harness on the same model and tasks. Sessions get an isolated Linux micro-VM (8 August 2026 announcement) with shell, filesystem, and optional browser that pauses between turns. The docs list what is available now: agents, sessions, the durable runtime, completion windows, budgets, the computer, skills, files, cron, webhooks, real-USD billing, identity (personas, domains, email, SMS, connections, the vault), web search and fetch, image and video generation, a Messages-format model proxy, observability, structured outputs, audit logs, and teams with a version-pinned roster and shared board. Where it doesn't fit: the entry fee is a committed configuration file and CLI, so there is no no-code path. The vendor does not offer on-premise or private-cloud deployment out of the box. Long-horizon budgets assume you are willing to trade completion speed for lower inference cost — the loose completion window is cheaper precisely because it is slower. And because the config is authoritative, a mistyped policy that denies an action
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Real-world workflow fit
Concrete scenarios for the personas Naïve actually fits — and what changes day-one when you adopt it.
Deploy Naive Clipping v1 from a template, set perAgentDay and perTask budgets in naive.config.ts, add "payments.send": "deny" and "social.post": "ask", then let the five-agent team cut and queue clips.
Outcome: A running clip channel governed by one committed file, with spend visible per call and no separate Stripe or AWS wiring.
Install the SEO / GEO Agency template, give each client a workspace, and scope each agent's linked accounts to the tools its role needs rather than sharing one credential.
Outcome: Client agents act under their own identity and budget caps, and the agency keeps one organization plan with no per-seat charge.
Create a Vetta agent with a budget cap and max task cost, run it as a session with an isolated micro-VM and a cron trigger, and set overnight work to the loose completion window.
Outcome: Hours-long jobs finish without a person in the loop, the computer meters nothing between turns, and the per-task cap holds the worst case.
Use Cases
- Give each autonomous agent its own spend-capped budget and tool policy so it can act without a human approving every call.
- Provision per-agent identity — registered AGT ID, verified email, phone, and domain — for agents that need to operate real accounts.
- Run a multi-agent content team that researches, produces, posts, and monetizes on a schedule.
- Deploy a clipping channel from Naive Clipping v1 and post clips on cadence.
- Run an SEO / GEO agency template that ranks clients in search and in AI answers, with a workspace per client.
- Use the loose completion window for overnight batch work and pay the interactive tariff only when a person is waiting.
- Attach an isolated Linux micro-VM with shell and filesystem to a long-running agent session.
- Keep agent spend auditable with per-call metering, audit logs, and a spend breakdown under each cost name.
Models Under the Hood
as of 2026-09-28
Limitations
- Pricing is metered per unit of consumption: model inference per token across five disjoint tiers (input, cached reads, cache writes, output, reasoning) at the tariff for the completion window requested; computers per second while running, with a 1 vCPU / 1 GiB session costing $0.0504 + $0.0162 = $0.0666 per running hour; web tools per call (web_search $0.002158, web_fetch $0.001079); and media generation billed once per finished job at real cost, admitted against the headroom under the agent's per-task cap because a render cannot be quoted before it runs.
- Standard is $20/mo including $20 of credit and Pro is $200/mo including $200 of credit, with everything past the included credit billed pay-as-you-go against a prepaid balance, so heavy multi-agent workloads scale in real dollars.
- The runtime is built for long-horizon work and per-task budget caps rather than instant responses.
- KYC-backed identity issuance and third-party account linking depend on external providers for verification and connection.
- Because agents are bound by a committed config they cannot edit, any action declared ask or deny is blocked — a policy misconfiguration can stop intended actions.
as of 2026-10-04
Verification history
We have re-verified Naïve 9 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 9 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Where the pricing makes sense
The company stage and team size where Naïve's pricing actually pencils out — and where peers do it cheaper.
Standard at $20/mo with $20 of credit included and Pro at $200/mo with $200 of credit are flat per-organization prices — no per-seat fee however many people use the organization — which undercuts per-seat agent platforms once a team passes a handful of users. Past the included credit both plans use identical published rates, so Pro is purely a larger credit bucket. Custom (Managed) adds committed-volume pricing, invoicing and PO terms, a monthly allowance, and a security review and DPA for
Setup time & first value
How long it actually takes to get something useful out of Naïve — broken out by persona, not the marketing-page minute.
A developer who already knows the stack can create an agent, run a session, and read the meter in under five minutes per the docs quickstart. Deploying a company template from Studio is faster still since the blueprints ship with agent teams attached. Budget an afternoon for wiring real per-agent identity — KYC-backed phone, domain DNS, and third-party account connections depend on external
Switching to or from Naïve
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From a DIY AWS + Stripe + payment-processor stack: replace the wiring with one naive.config.ts that declares agents, budgets, and tool policy.
- →From a general agent framework: move the agent definition into the Agent primitive (model, prompt, tools, skills, budget) and let the runtime handle sessions and durability.
- →From a chat-only LLM API: add a budget cap and a policy map so tool calls are allow / ask / deny rather than unconstrained.
- →From a per-seat automation platform: consolidate onto one organization plan, since Naïve charges no per-seat fee.
- ↗To a general-purpose cloud: rebuild the identity, payments, and policy layer yourself on top of the provider's primitives.
- ↗To a standalone agent framework: keep the agent logic but re-implement budget enforcement and approval gates outside a committed config.
- ↗To a no-code agent builder: accept less explicit governance in exchange for not maintaining a config file.
- ↗To a per-seat SaaS automation tool: trade per-agent budgets and real-world identity for a fixed monthly seat price.
Integrations
Resources & Guides
- Documentationusenaive.ai
Docs · Naïve
Full product docs from usenaive.ai
- Documentationusenaive.ai
Llms · Naïve
Full product docs from usenaive.ai
- API Referenceusenaive.ai
Api · Naïve
Methods, params, types from usenaive.ai
- API Referenceusenaive.ai
Sdk · Naïve
Methods, params, types from usenaive.ai
- API Referenceusenaive.ai
Cli · Naïve
Methods, params, types from usenaive.ai
- Resourceusenaive.ai
Pricing · Naïve
Helpful link from usenaive.ai
- Resourceusenaive.ai
Templates · Naïve
Helpful link from usenaive.ai
Tutorials & Learning
YouTube returned 6 videos for “Naïve”, and we withheld 6: 6 could not be judged, because “Naïve” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Naïve.
Official links
Tools that pair well with Naïve
Common stack mates teams adopt alongside Naïve, with the specific reason each pairing earns its keep.
Fimo
An autonomous website platform that runs on your own Git repo, with scheduled AI agents that keep improving the site after launch.
E2B
E2B runs secure Linux sandboxes so AI agents can execute code, process data, and use tools safely
Poolside AI
Open-weight agentic coding models — Laguna XS 2.1 (33B) and Laguna S 2.1 (118B) — built for code that cannot leave your security boundary.
Featured Head-to-Head Comparisons
Naive vs Spider Cloud
If your AI agent needs to fetch and structure web data, Spider Cloud wins with its low-cost, high-speed crawling and AI extraction. If your agent requires its own identity, bank account, phone number, and compute, Naïve is the unified platform to build it. They are complementary: Spider for data ingestion, Naïve for full agent lifecycle.
Naive vs Temporal Ai
Choose Temporal AI if your priority is bulletproof durability and recovery for long-running workflows and AI agents—its automatic state capture and multiple SDKs are proven at scale. Choose Naïve if you need to give each agent its own real-world identity (phone, LLC, virtual card) with built-in financial primitives and sandboxed compute; it's more opinionated and newer but uniquely solves agent-as-entity use cases.
Naive vs Presto Voice
Presto Voice is the clear choice if you run a QSR chain needing proven drive-thru automation and upselling; its 95% non-intervention rate and up to 6% revenue lift are industry-specific. Naïve is for developers who want to build full-stack AI agents with identity, payments, and compute—but it offers zero drive-thru capability. Pick by domain: restaurants pick Presto, tech builders pick Naïve.
Alternatives to Naïve
View allFimo
An autonomous website platform that runs on your own Git repo, with scheduled AI agents that keep improving the site after launch.
E2B
E2B runs secure Linux sandboxes so AI agents can execute code, process data, and use tools safely
Poolside AI
Open-weight agentic coding models — Laguna XS 2.1 (33B) and Laguna S 2.1 (118B) — built for code that cannot leave your security boundary.
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