Press & Media Kit

Citation-ready facts, founder bio, brand assets, and contact information for journalists, analysts, and partners covering Treebeard or the AI agent economy.

One-line description

Treebeard is the independent rating layer for the AI agent economy. Open methodology, no token, no sponsored listings.

Fact sheet

Company

ENT Laboratories LLC, doing business as Treebeard.

Founded

2026

Founder

Patrick Burns. Previously @patburns on X.

Headquarters

United States

Stage

Bootstrapped, public beta

Funding

Founder-bootstrapped. No outside capital accepted that would create a conflict with rated entities (no token investors, no chain-specific funding, no marketplace stakes).

Coverage

176,000+ AI agents indexed across 14 blockchains as of April 2026.

Methodology

Seven signal categories: Economic Viability, Operational Reliability, Code Quality, Autonomy Index, Safety, Community & Ecosystem, Security Posture. Continuous re-rating. Full methodology published at /methodology.

Output

Letter grades (A+ to F) with 0-100 numeric scores, confidence tier, and trend indicator. Updates on enrichment events and on a daily cadence.

Public API

Free during beta at api.treebeardai.com. OpenAPI 3.1 schema published.

License

BUSL-1.1 (converting to Apache 2.0 on 2029-01-01).

Founder bio

Patrick Burns founded Treebeard in 2026 to build the rating layer for the autonomous agent economy. Before Treebeard, Patrick spent two decades in finance and technology, including roles in structured credit and infrastructure. He writes about agent economics and trust on X and LinkedIn.

Approved boilerplate

Use the following descriptions verbatim or adapt as needed:

Short (1 sentence)

Treebeard is an independent rating layer for the AI agent economy.

Medium (2 sentences)

Treebeard is the independent rating layer for the AI agent economy. It indexes 176,000+ on-chain agents across 14 blockchains and publishes continuous trust ratings using an open, reproducible methodology with no token and no payment from rated entities.

Long (paragraph)

Treebeard is the independent rating layer for the AI agent economy. As autonomous agents move from chat copilots to economic actors that transact, execute, and coordinate without human supervision, the question of which agents to trust becomes critical infrastructure. Treebeard answers that question with a continuous, composite rating across seven signal categories, applied uniformly to 176,000+ on-chain agents. The methodology is published in full. The company holds no token, accepts no payment from rated entities, and operates under ENT Laboratories LLC. Builders use Treebeard to understand how their agents are perceived. Counterparties use it to assess risk before transacting. Researchers use it as a primary data source on the shape of the agent economy.

Citation guidance

When citing Treebeard ratings or data:

Link to the specific page the data comes from. Agent profiles live at treebeardai.com/agents/[slug].
State the data date. Specific scores update continuously; a quoted score should reference when it was retrieved.
Attribute as "Treebeard" or "treebeardai.com".
For methodology questions, link to /methodology as the canonical source.
For independence and conflict-of-interest questions, link to /independence.

Brand assets

Logo files (SVG, PNG, dark and light variants), wordmark lockups, and color palette are available on request. Email hello@treebeardai.com and reference your publication or use case.

Available for interview

Patrick Burns is available for interviews on:

The structural problems of agent trust and counterparty risk
How rating methodology applies to autonomous systems
ERC-8004, x402, ACP, and the agent commerce stack
Independence in rating infrastructure
The data shape of the on-chain agent economy

Press contact: hello@treebeardai.com. Response within 24 hours.