Point it at a goal. It runs the loop.
“Grow qualified signups.” “Keep this catalog fresh.” It observes, decides, acts, measures, and learns — on your real data, without you driving every step.
Autonomous operations, honestly measured
An autonomous operator for one job you define — honestly measured.
Give it one bounded job. It works toward a measure it can read but never write, rejects plans that can’t show they move it, and stops for your approval before any consequential action.
Questions? Email us — we reply async.
Mission
grow qualified signups
observeread ground truth — signups, traffic, pipeline
decideplan next action · anti-gaming check: pass
actpublish campaign → gate: awaiting your approval
measurere-read the real database — not its own claims
learnrecord what moved the number, carry it forward
real outcome
(re-read from DB) —
(re-read from DB) —
What a running mission looks like: the loop, the gate, and a scoreboard it can’t edit. The live number wires in from the running instance — see Proof.
What you get
Work done, measured against reality
Not another chatbot waiting for prompts. An operator with a goal, a loop, and a scoreboard it answers to.
It does the work — marketing and ops.
Campaigns, content, pipeline upkeep, monitoring. And it’s graded on the real outcome, re-read from your data — never on its own report of how it went.
It tells you the truth.
When progress stalls, it says so and shows why — instead of inventing a win. An honest “stuck” you can act on beats a fake “done” you can’t.
Why you can trust it
Honest by construction. Gated by default.
Autonomy is only useful if you can trust what it does and what it reports. Both are enforced by the system — not promised by the model.
It can’t write its own scoreboard
Progress is measured by re-reading your real database — never by trusting what the agent says it did. An anti-gaming check rejects any plan whose “success” wouldn’t provably move the real number.
It can’t act beyond your say-so
High-consequence actions — spending money, contacting people, publishing, deploying — escalate to you unless you’ve opened that gate. It can request authority. It can never grant itself more.
Its limits hold as it grows
When an instance spins up a replica to scale, the child can’t widen its own authority — only the host can authorize a wider envelope, enforced by the host runtime, not by the agent’s good intentions.
Proof
This product markets itself. Watch a real operator work.
Agentricity is its own first customer: an instance is pointed at the goal of proving this product useful — including running the marketing behind this page. Its numbers will live here, misses included.
Early-access signups
—
Live count, straight from the same database the operator is graded on.
Missions completed honestly
—
Outcomes verified against ground truth — not self-reported.
Actions gated to a human
—
High-consequence actions the operator escalated instead of taking alone.
Why the dashes? These slots wire directly into the running instance. Until that feed is live on this page, we show a dash — a product built on “can’t fake it” doesn’t get to decorate its own site with invented numbers. When they’re live, they’ll be real, timestamped, and shown even when they’re modest.
How it works
One loop, run against ground truth
1 · observe
Read the real state
It reads your actual data — signups, pipeline, catalog, metrics — not a cached story about it.
2 · decide
Plan the next move
It picks the action most likely to move the goal. Plans that couldn’t provably move the real number are rejected.
3 · act
Do real work
Content, campaigns, data upkeep, outreach prep — inside a least-privilege envelope. Consequential actions hit the gate.
4 · measure & learn
Grade against truth
It re-reads the database to see what actually changed, records it, and carries the lesson into the next cycle.
Underneath it all: an enforced authority envelope. Every capability the operator has — what it can read, write, spend, or send — is granted by you and enforced by the runtime. It can request more. It can never take more.
For the technically curious: what’s under the hood
- Anti-gaming verification — progress is graded by re-reading the mission’s real data store; plans must name success criteria that provably move that number, or they’re rejected before they run.
- Least-privilege data layer — the operator works through a substrate that blocks out-of-scope actions at the grants we’ve locked down, not merely discourages them; coverage is still being extended across every action class.
- Consequence gate — spend, contact, publish, and deploy classes of action escalate to a human until you explicitly open each gate.
- Two-tier memory — semantic recall plus a structured world-model, so lessons persist across cycles and across generations.
- Bounded replication — an instance that learns something can request a replica carrying that learning, under host-enforced caps; a child can’t widen its own authority — only the host can grant a wider envelope.
Pricing
Self-serve, at every tier
No sales calls — because there’s no sales team. You sign up online, you get onboarded by email, and you can start at exactly zero.
Open / Try
See the honest-autonomy model for yourself
Free
run it yourself — your machine, your keys
- The real mission loop, in a sandbox
- Anti-gaming verification included
- Safe by being limited — an evaluation sandbox designed so spend, outreach, and deploys stay closed; we verify that before calling it shipped
- Self-run from source; $0, no card, ever
Early access by email, onboarded in batches.
Own it
The complete vetted engine, self-hosted — yours to keep
$299once
one-time — self-host, bring your own keys
- Real-world authority gates you configure
- Enforced least-privilege substrate
- Advanced learning + cold-start bootstrap
- Bounded self-replication controls
- This vetted release is yours — run it, own it, no recurring fee
- Async email support
Secure one-time checkout via Stripe. You enter your GitHub username at checkout; we send your private-repo invite by email (async, usually within a day).
Stay current
The living version — in development: continuous updates, with a per-release proof we’re building
$99/mo
self-host; continuous updates & support
- Everything in Own it
- Continuous updates as the product evolves
- Each update goes through the same adversarial review that gates the core engine — a versioned per-release proof you can verify is in development, not a guarantee yet
- Priority async support
- Cancel anytime
Secure monthly checkout via Stripe. Enter your GitHub username at checkout; cancel anytime.
Open / Try is free — no card, no trial clock. Own it ($299 once) and Stay current ($99/mo) charge those prices at Stripe when you click the buttons. Need something larger or custom? Email us — async, honest answers.
From the founder
Why this exists — and how it’s run
I built Agentricity because most “autonomous agent” demos fail in one of two ways: they quietly fabricate results to look productive, or they need a human watching every step. I wanted an operator I could hand a real goal and trust — which meant honesty and limits had to be enforced by the system, not promised by the model.
Some candor you should have before you sign up: I have a day job. Agentricity is self-serve by design, and I support it by email, after hours. Early access is onboarded in batches — when you sign up, you’ll hear from me by email, not instantly. There are no sales calls because there is no sales team, and I’d rather tell you that plainly than pretend otherwise. You can reach me directly at kevin.thomas@agentricity.com.
The same rule the product lives by applies to this page: the numbers shown are real ones — including the misses.
Kevin Thomas
Founder, Agentricity
Questions
The things you should be skeptical about
Why would I trust an autonomous agent with real actions or money?
Because by default, you don’t have to. Every high-consequence action class — spending, contacting people, publishing, deploying — is gated: the operator escalates to you unless you’ve explicitly opened that gate. It can request wider authority; it can never grant itself any. You extend trust one gate at a time, as it earns it.
How do I know it isn’t faking its results?
Progress is graded by re-reading your real database, not by trusting the agent’s own report. An anti-gaming check rejects any plan whose success criteria don’t provably move the real number. In our testing it has refused to record wins it didn’t earn — it stalls honestly and tells you why instead.
Is this real? Who’s behind it?
A working system and a solo founder — Kevin Thomas (see the note above). Verified and test-backed today: the mission loop, the anti-gaming measure the operator can’t write to, its refusal to fabricate progress, the consequence gate, and tested replication paths. Still being hardened — not yet universal: cross-session memory retention, least-privilege coverage across every action, and managed-cloud operation. The proof strategy is dogfood: the product markets itself, and its real numbers will be published on this page as they land.
What do I actually get when I sign up today?
A spot on the early-access list. We onboard in batches, by email: you’ll get free sandbox access — the real loop, run by you, with real-world gates designed to stay closed — plus a starter first goal. No card, no charge, and honest email updates in between.
How do I get help?
By email, async — typically after hours, since this is a founder-run product with a day job attached. That’s also why everything here is self-serve and there’s no “book a call” anywhere: docs and email are the support surface, and we’re honest about that trade.
Start free
Point an honest operator at a real goal
Free sandbox access, onboarded in batches by email. No card, no call, no fake numbers — that’s the whole point.
Questions? Email us — async, after hours, honest answers.