Maskara
Maskara is a no-code platform that turns a plain-English request into an autonomous AI agent. It researches, prospects, writes and reports in the background on a schedule, then delivers finished results to Telegram, Slack or email.
What is Maskara?
Maskara is a no-code platform for building and running autonomous AI agents, operated entirely through conversation. You describe a recurring piece of work in one sentence — watch my five competitors and email me a Monday summary — and the platform designs the agent, wires the tools, proposes a schedule and asks you to confirm. From that point it runs without you.
The product is built around background execution rather than synchronous chat. Agents run on a schedule, on a trigger, on demand, or when another agent hands work to them, and long jobs are meant to survive a closed laptop. Each agent runs in its own per-user environment, so credentials and outputs are not shared between accounts. Results arrive where you already work: email, Slack, Telegram, WhatsApp or the Maskara dashboard.
Agents can search the web and run deep research, browse real sites and return screenshots as proof, execute Python, JavaScript and Bash in sandboxed environments, generate audio, video and images, and create durable workspace files that colleagues and downstream agents can reuse. Memory persists per end-user between sessions, and the site claims agents improve as users correct them. Frontier models are included — Claude Opus 4.6, GPT-5.4 and Gemini 3.1 Pro — with no keys to configure on standard plans. More than 100 MCP integrations are advertised, among them Notion, Slack, Linear, Gmail and Salesforce, and third-party accounts are linked through Pipedream.
Developers get a REST API to start, poll, continue and cancel runs, plus an account-scoped MCP server that compatible AI clients reach over OAuth. Enterprise buyers are offered bring-your-own-keys, admin permissions, tool allowlists, browser scopes and audit-ready activity logs.
Maskara is published by Massivelabs.io Ccorp, registered in Dubai, with a two-person team named publicly on its About page. The interface ships in English and Korean, and official communities run on Discord and KakaoTalk. A Chrome extension refines prompts anywhere you write; iOS and Android apps are advertised, though no store link is published anywhere on the site.
What it does
- Build an autonomous AI agent from a single sentence, with no code and no flowchart
- Run agents in the background on a schedule, on a trigger or on demand, overnight if needed
- Research the web, browse real sites and bring back screenshots and sources as evidence
- Find, enrich and rank leads, then draft personalised outreach
- Monitor competitors and turn changes into a recurring digest or PDF report
- Hand a task, its files and its context to specialist agents running in parallel
- Deliver results to Telegram, WhatsApp, Slack, email or the Maskara dashboard
When to use Maskara / When not to
A quick filter to help you decide if Maskara is the right fit.
When to use Maskara
- Founders and small teams who want recurring work handled without hiring for it
- Marketers and content managers repurposing one piece of writing into a week of posts
- Sales and business development teams that need leads researched and enriched every morning
- Product and competitive intelligence roles tracking rival pricing, messaging and releases
- Operations and executive assistants delegating inbox triage, briefings and recurring reports
When not to use Maskara
- Organisations in regulated sectors: the terms explicitly rule out HIPAA, FISMA and GLBA use cases
- Anyone under 18, who is barred from registering
- Teams that require self-hosting or data residency outside the United States on a standard plan
- Buyers whose procurement demands SOC 2, ISO 27001 or a signed DPA, none of which are published
- Engineers who want a deterministic visual workflow canvas rather than an agent that designs itself
How to use Maskara
A typical end-to-end flow, from setup to results.
- Create an account with an email address or a Google login; no payment card is required to start
- Type the outcome you want in the composer on the home page, or pick one of the suggested prompts
- Review the agent Maskara proposes: the tools it will use, the sources it will read and the schedule it suggests
- Confirm or edit that plan, then let the agent build itself
- Connect the third-party accounts the agent needs, such as Gmail or Telegram, through Pipedream in the settings
- Choose how the agent runs: on a schedule, on a trigger, on demand or as a handoff from another agent
- Pick where results are delivered — email, Slack, Telegram, WhatsApp or the dashboard
- Watch runs in the real-time monitoring dashboard and open the workspace files the agent creates
- Track credit consumption and top up from Plan and Usage, or set an automatic recharge threshold
- For programmatic use, create an API key under API and MCP, then call the REST endpoints or authorise an MCP client over OAuth
Pros & Cons
Pros
- No technical skill required: one sentence replaces a workflow canvas and a cron expression
- Genuinely asynchronous — scheduled, long-running jobs that continue after you close the browser
- Frontier models included with no API keys to configure and no separate model bill to track
- Per-user isolation, so credentials and outputs are not shared between accounts
- Programmable from outside via a REST API and an OAuth MCP server, not just a closed web app
- A permanent free tier plus a 7-day trial that does not ask for a payment card
- Top-up credit bundles that never expire, bought without changing plan
Cons
- The published price contradicts the live one: the home page says plans start at $29/mo while the only active paid plan bills at $50.00/mo
- There is no standalone public pricing page; the full tiers only appear after you create an account
- No security certification is published — no SOC 2, no ISO 27001 — and no DPA is offered
- The site states no position on whether customer data trains its models, and documents no opt-out
- Data is hosted in the United States, with residency options mentioned only for enterprise deals
- iOS and Android apps are advertised but no App Store or Google Play link appears anywhere
- Purchases are non-refundable and subscriptions renew automatically by default
Pricing & Plans
Maskara offers a permanent free tier of 500 credits per month, sufficient to build one agent and run it manually, together with a 7-day free trial that does not require a payment card. The cheapest paid plan available in the live billing catalogue is the Creator Plan at USD 50.00 per month, which includes 30,000 credits, or USD 549.00 per year for 360,000 credits. One-time credit bundles start at USD 10.00 for 5,000 credits and do not expire. Enterprise pricing is quoted on request. All payments are taken in US dollars through Stripe, and all purchases are non-refundable. Note that the home page advertises a lower entry price of USD 29.00 per month, a figure that does not correspond to any plan currently on sale.
- Free — 500 credits per month
- one agent
- manual runs
- no charge
- Creator Plan — USD 50.00 per month (30
- 000 credits) or USD 549.00 per year (360
- 000 credits)
- 7-day trial
- unlimited agents and background jobs
- frontier models
- web search
- multimodal generation
- Enterprise — custom pricing
- custom compute limits
- team access controls
- security reviews
- procurement-friendly terms
- dedicated SLA-backed support
- Pro and Max tiers (10
- 000 and 40
- 000 credits per month) appear in the product interface without a published price
- Credit bundles
- one-time and non-expiring — USD 10.00 for 5
- 000 credits
- USD 25.00 for 12
- 500
- USD 50.00 for 25
- 000
- USD 100.00 for 60
Data, GDPR & hosting
A consolidated view of how Maskara handles your data.
GDPR overview
The privacy notice, last updated 27 November 2025, has a dedicated EU and UK section that sets out the legal bases relied on: consent, performance of a contract, legal obligations and vital interests. It confirms the right to withdraw consent at any time and the right to complain to a member state or UK supervisory authority, and points Swiss users to the FDPIC. Separate sections cover Canada, eighteen US states, Australia, New Zealand and South Africa. What is missing is just as relevant: Maskara nowhere states in plain words that it is GDPR compliant, names no data protection officer, designates no Article 27 EU representative and publishes no DPA. Requests go to daniiar.abdiev@massivelabs.io. The terms add that the service is hosted in the United States and that using it from elsewhere constitutes consent to that transfer.
Who owns the data?
The terms grant Maskara broad rights over what you put in: you agree the company may access, store, process and use any information and personal data you provide, including your settings and choices. The service states it does not offer users a way to post public content, so there is no separate user-content licence, but any suggestion or feedback you send may be used and shared for any purpose without compensation. Maskara disclaims liability for loss or corruption of your data and makes you solely responsible for what you transmit. The publisher is Massivelabs.io Ccorp, in Dubai; the privacy notice names Firebase, Neon Serverless Postgres, PostHog and Stripe as processors acting on its instructions.
Reuse rights
Nothing in the terms restricts what you do with the output your own agents produce, and the service explicitly states it does not host user-submitted public content, so results, files and reports created in your workspace are yours to reuse without asking permission. Workspace files are designed to be inspected, downloaded, reused and passed to other agents. Two limits deserve attention. Feedback and suggestions you send to Maskara can be used and shared by the company for any purpose, with no compensation. And the terms forbid using the service for commercial endeavours that Maskara has not specifically endorsed or approved, a clause broad enough to matter if you intend to resell agent output. Content and trademarks belonging to Maskara itself remain off-limits without written permission.
Data retention & training
Hosting summary
The terms state plainly that the service is hosted in the United States, and that accessing it from a region with different data protection rules constitutes consent to transferring your data there. Technically this is consistent with what the domain resolves to: an anycast address on Google infrastructure, which is Firebase Hosting. The privacy notice names the processors involved — Firebase for authentication and application services, Neon Serverless Postgres for the database, PostHog for product analytics — alongside Stripe for payments and Google Analytics for measurement. The site's own configuration points PostHog at its European instance, so not every processor sits in the United States. Data residency options are mentioned only as part of the enterprise offer, never for standard plans. Maskara says data in transit is protected with TLS and that least-privilege access, auditing and role-based controls apply to backend systems. No hosting certification of any kind is published.
Things to keep in mind
Risks and trade-offs to weigh before adopting Maskara.
- The advertised entry price and the price actually charged do not agree; check the amount in your billing portal before subscribing
- Credits are consumed by model tokens but also by metered tools such as search, scraping, browser automation and image generation, so real spend depends on what the agent does
- Subscriptions renew automatically and purchases are non-refundable, so an unused agent keeps billing until you cancel
- Agents act autonomously on connected accounts such as Gmail and Slack; scope permissions narrowly and review what an agent is allowed to send
- Results arrive already finished, which makes them easy to forward unread — treat agent output as a draft to verify, not a fact
- Data is hosted in the United States and using the service from the EU is treated as consent to that transfer
- The publisher states no position on training models with customer data and offers no opt-out, so avoid feeding agents confidential material
Setup & Integrations
Technical difficulty
Very low for the main use case. Signing up takes an email address or a Google account, no payment card, and the first agent is created by typing one sentence — there is no workflow canvas, no cron expression and no webhook to wire before you see a result. Connecting third-party accounts such as Gmail or Telegram is done through Pipedream from the settings. Only the optional developer path asks for more: creating an API key, calling REST endpoints with an idempotency key, or authorising an MCP client over OAuth.
Deployment
Integrations
Supported languages
Behind Maskara
Resources
All the official URLs gathered for verification and reference.
Alternatives
Tools that compete with or complement Maskara.
Frequently asked questions
Do I need to know how to code to use Maskara?
What exactly is a background job?
Is there a free plan, and is there a trial?
How much does the paid plan cost?
What are credit bundles for?
Which AI models does Maskara use?
Where can my agents run and deliver results?
Is there an API?
Where is my data hosted and how long is it kept?
Is there a minimum age?
Should you pick Maskara?
Maskara bets on a distinction that matters more than it first appears: the difference between an assistant you talk to and an agent that finishes a job while you are elsewhere. Almost everything about the product follows from that choice — scheduled and triggered runs, jobs that outlive a closed laptop, per-user isolation, workspace files that hold evidence, and handoffs between specialist agents. The technical foundations are more serious than the no-code framing suggests: a REST API, an OAuth MCP server, sandboxed code execution, and enterprise controls covering keys, permissions, tool scopes and audit trails.
The weaknesses are mostly about transparency rather than capability. The home page advertises a starting price that no plan on sale actually matches, there is no public pricing page at all, and three different tier structures coexist across the site. On compliance the record is thin: no security certification, no data processing agreement, no published position on whether customer data trains the models, and no documented opt-out. Data sits in the United States by default. Mobile apps are promised but not linked. The publisher, Massivelabs.io Ccorp, is a Dubai-registered company with a two-person team and a domain first registered in October 2024.
That combination points to a young product moving quickly, with real engineering behind it and marketing that has not kept pace. For an individual or a small team wanting recurring research, prospecting or reporting taken off their plate, the free tier and card-free trial make it cheap to judge for yourself. For a regulated buyer, or anyone whose procurement asks for certifications, a signed DPA or European data residency, the honest answer today is that Maskara does not yet publish what you would need.
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