AI Dispatch
agent · ai agents platform

EmAGI

Reviewed12 or more fields evidenced, and scored by a human against the published rubric

21 fields evidenced · 38 with no public information. Every value below links to the document it came from and the date we checked it.

Runtime governance
1/3

Are scope, spend, and authority enforced while the agent runs?

Vendor states confidentiality is set per chat "in plain words" and that "a separate agent is the absolute boundary: two agents share nothing". Agent-level isolation is a real run-time boundary. Not 2: a confidentiality instruction given in natural language is not an enforced limit, and no spend or authority ceiling is published.

Counts Runtime governance, each cited below.

How this gap gets closed →
Audit trail
0/3

Is there a tamper-evident record of what it actually did?

No public evidence found: no retained, reviewable record of agent activity is described on the page checked.

How this gap gets closed →
Compliance
0/3

Are compliance obligations attached per engagement?

No public evidence found: no certification or regulatory framework is named.

How this gap gets closed →
Outcome settlement
0/3

Does payment depend on a verified result?

No public evidence found: pricing is a flat monthly subscription from $350 per agent, charged regardless of result.

Our automated recount on Sep 14, 2026 counted enough evidenced fields for 1/3. It never reads what those fields say, so it does not overturn the score above, judged on Sep 14, 2026 — but where the two disagree it is a reason to read this dimension again. Why there are two scores

Counts Outcome-based pricing, each cited below.

How this gap gets closed →
Insurance & indemnity
0/3

Can the deployment be insured, and is the customer indemnified?

No public evidence found: no carrier, cover, limit or customer indemnity is published.

How this gap gets closed →

Assurance

Insurance available
no public information
emagi.ai · checked Sep 11, 2026 · source did not state this
Own liability cover
no public information
emagi.ai · checked Sep 11, 2026 · source did not state this
Insurance carriers
no public information
emagi.ai · checked Sep 11, 2026 · source did not state this
Coverage limits
no public information
emagi.ai · checked Sep 11, 2026 · source did not state this
Indemnification
no public information
emagi.ai · checked Sep 11, 2026 · source did not state this
Liability cap
no public information
emagi.ai · checked Sep 11, 2026 · source did not state this
Audit trail
no public information
emagi.ai · checked Sep 11, 2026 · source did not state this
Tamper-evident log
no public information
emagi.ai · checked Sep 11, 2026 · source did not state this
Explainability
no public information
emagi.ai · checked Sep 11, 2026 · source did not state this
Runtime governance
Users can set per-chat confidentiality in plain language, and separate agents are treated as a hard isolation boundary at runtime.
You set confidentiality per chat in plain words, and a separate agent is the absolute boundary: two agents share nothing.
emagi.ai · checked Sep 11, 2026
Permission scopes
no public information
emagi.ai · checked Sep 11, 2026 · source did not state this
Compliance certifications
no public information
emagi.ai · checked Sep 11, 2026 · source did not state this
Regulatory alignment
no public information
emagi.ai · checked Sep 11, 2026 · source did not state this
Outcome-based pricing
Pricing is a flat recurring monthly subscription rather than tied to measured outcomes achieved.
$350 per month, cancel any time
emagi.ai · checked Sep 11, 2026
Settlement mechanism
no public information
emagi.ai · checked Sep 11, 2026 · source did not state this
Asset custody
no public information
emagi.ai · checked Sep 11, 2026 · source did not state this
Dispute process
no public information
emagi.ai · checked Sep 11, 2026 · source did not state this
SLA terms
no public information
emagi.ai · checked Sep 11, 2026 · source did not state this
Evaluation coverage
no public information
emagi.ai · checked Sep 11, 2026 · source did not state this
Self-reported performance
Vendor claims the agent becomes useful within its first week of deployment and continues improving over time.
It is useful in the first week and keeps learning your business.
emagi.ai · checked Sep 11, 2026

Agency

Autonomy level
Marketed as a fully autonomous, always-on digital worker rather than a reactive chat tool.
an EmAGI agent is an autonomous digital worker that lives in your messengers (Telegram, Slack, web chat on your site), remembers your projects and team for months, builds its own skills for your tasks and works 24/7.
emagi.ai · checked Sep 11, 2026
Human oversight
no public information
emagi.ai · checked Sep 11, 2026 · source did not state this
Goal complexity
Positioned as handling open-ended, employee-like work rather than a single narrow task.
EmAGI is a platform for hiring AI agents that work as employees.
emagi.ai · checked Sep 11, 2026
Action space
Agent can act via web browsing, API calls, document handling, and voice calls, beyond just chat replies.
It has hands: a browser, APIs, documents, voice calls and its own isolated server (VPS).
emagi.ai · checked Sep 11, 2026
Operating environment
Operates inside messaging platforms (Telegram, Slack) and an embeddable website chat widget.
lives in your messengers (Telegram, Slack, web chat on your site)
emagi.ai · checked Sep 11, 2026
Initiative
Site claims the agent acts proactively across conversations rather than purely responding when addressed.
proactive work across dozens of chats as one personality
emagi.ai · checked Sep 11, 2026

Safety

Safety evaluations
no public information
emagi.ai · checked Sep 11, 2026 · source did not state this
Red teaming
no public information
emagi.ai · checked Sep 11, 2026 · source did not state this
Safety policy
no public information
emagi.ai · checked Sep 11, 2026 · source did not state this
Usage restrictions
no public information
emagi.ai · checked Sep 11, 2026 · source did not state this
Model or system card
no public information
emagi.ai · checked Sep 11, 2026 · source did not state this
Incident reporting
no public information
emagi.ai · checked Sep 11, 2026 · source did not state this
Third-party evaluations
no public information
emagi.ai · checked Sep 11, 2026 · source did not state this
Data handling
Customer retains ownership and portability of the agent's data, which is stored on a dedicated isolated server per agent.
Each agent runs on its own isolated VPS, you get full access, and the agent's memory is yours and portable.
emagi.ai · checked Sep 11, 2026

Practicality

Pricing model
Tiered monthly subscription pricing (Standard/Assisted/VIP) that differs by how much setup/support help is included.
Standard — $350/month: the agent runs on your own AI subscription. Assisted — $500/month: we help you connect your subscription and set up your channels. VIP — $1,000/month: a dedicated specialist looks after your agent.
emagi.ai · checked Sep 11, 2026
Price point
Entry price for a single agent is $350 per month.
Pricing starts at $350/month per agent.
emagi.ai · checked Sep 11, 2026
Availability
Product is presented as generally available for immediate self-serve purchase, not a waitlist or closed beta.
Pay and start now $350 per month, cancel any time
emagi.ai · checked Sep 11, 2026
Deployment options
Each hired agent runs on its own dedicated, isolated virtual server.
Each agent runs on its own isolated VPS, you get full access, and the agent's memory is yours and portable.
emagi.ai · checked Sep 11, 2026
Integrations
Agent connects to Telegram, Slack, and a website chat widget as its interaction channels.
Telegram, Slack or a chat on your site.
emagi.ai · checked Sep 11, 2026
Supported regions
no public information
emagi.ai · checked Sep 11, 2026 · source did not state this
Support model
The top pricing tier includes a dedicated human specialist supporting the agent, versus self-serve on lower tiers.
VIP — $1,000/month: a dedicated specialist looks after your agent.
emagi.ai · checked Sep 11, 2026

Foundation models

Base models
Agents run on the customer's own Anthropic Claude or OpenAI ChatGPT subscription as the underlying model.
Anthropic Claude or a ChatGPT Plus/Pro plan.
emagi.ai · checked Sep 11, 2026
Model provider
Model provider is customer-selected between Anthropic and OpenAI via the customer's own subscription.
Anthropic Claude or a ChatGPT Plus/Pro plan.
emagi.ai · checked Sep 11, 2026
Model swappable
Users can connect multiple model subscriptions, with the agent automatically failing over to a standby when a usage limit is hit.
You can connect several: the top one works, the next is the standby, and the agent switches to it automatically when a limit is hit.
emagi.ai · checked Sep 11, 2026
Open weights
no public information
emagi.ai · checked Sep 11, 2026 · source did not state this
Fine-tuning
no public information
emagi.ai · checked Sep 11, 2026 · source did not state this
Context window
no public information
emagi.ai · checked Sep 11, 2026 · source did not state this

Ecosystem

Protocols supported
no public information
emagi.ai · checked Sep 11, 2026 · source did not state this
Tool use
Agent can use tools including a browser, APIs, and documents rather than being limited to text conversation.
It has hands: a browser, APIs, documents, voice calls and its own isolated server (VPS).
emagi.ai · checked Sep 11, 2026
Multi-agent
Site states separate agents are strictly isolated and share no memory, indicating no built-in cooperative multi-agent behavior.
a separate agent is the absolute boundary: two agents share nothing.
emagi.ai · checked Sep 11, 2026
API access
no public information
emagi.ai · checked Sep 11, 2026 · source did not state this
Open source
no public information
emagi.ai · checked Sep 11, 2026 · source did not state this
Marketplace presence
EmAGI runs its own internal marketplace where agents can be posted, hired, trained and transferred, rather than being listed on a third-party marketplace.
EmAGI is also a labor marketplace for AI agents : post vacancies, hire, train and transfer trained agents.
emagi.ai · checked Sep 11, 2026

Impact

User base
no public information
emagi.ai · checked Sep 11, 2026 · source did not state this
Deployment scale
no public information
emagi.ai · checked Sep 11, 2026 · source did not state this
Target sectors
no public information
emagi.ai · checked Sep 11, 2026 · source did not state this
High-risk domains
no public information
emagi.ai · checked Sep 11, 2026 · source did not state this
Documented incidents
no public information
emagi.ai · checked Sep 11, 2026 · source did not state this
Market recognition
no public information
emagi.ai · checked Sep 11, 2026 · source did not state this