Entropy0

Stateful trust intelligence.
Check source trust before content enters the workflow.
API · SDK · MCP

[Entropy0 @entropy0ai]

Entropy0 is stateful trust intelligence for external sources.

It helps workflows decide whether a source should be used, sandboxed, denied, or reviewed before content enters the system.

Core ideas:

Source trust
Evidence usability
Temporal memory
Explainable decisions

Trusted source ≠ usable evidence.
Trust is not a snapshot.

[Entropy0 @entropy0ai]

@sflorimm Solo founder building Entropy0.

It’s pre-ingestion source trust for AI agents — one check before an agent fetches a URL.

Trust / Threat / Deviation → proceed, caution, sandbox, escalate, or deny.

API, SDKs, MCP, and agent examples shipped.
https://t.co/FAMEogi3cx

[Entropy0 @entropy0ai]

@hthieblot Solo founder building Entropy0.

It’s pre-ingestion source trust for AI agents — one check before an agent fetches a URL.

Trust / Threat / Deviation → proceed, caution, sandbox, escalate, or deny.

API, SDKs, MCP, and agent examples shipped.
https://t.co/FAMEogi3cx

[Entropy0 @entropy0ai]

Search agents create a new trust problem:

they don’t just answer from the web once.

They continuously watch the web, synthesize updates, and surface links.

That makes input governance critical:

source trust
evidence usability
behavior over time

before content enters the workflow.

[Google @Google]

Soon, you’ll be able to create and manage multiple AI agents for your many tasks — right in Search ✨

We’re starting with information agents:

🔹These agents intelligently look across everything on the web, including blogs, news sites and social posts, plus real-time data on finance, shopping and sports to surface updates related to your specific question.

🔹Your agent works for you 24/7 helping you stay on top of what matters most to you.

🔹Then, it’ll send you an intelligent, synthesized update — with links to learn more — at the right moment to help you take action.

#GoogleIO

[Entropy0 @entropy0ai]

Most AI agent examples still do this:

search → fetch URL → put content into context

I shipped a TypeScript SDK for adding one source-trust check before fetch:

npm install entropy0

Entropy0 scores the external source across Trust, Threat, and Deviation, then returns action guidance:

proceed / caution / sandbox / escalate / deny

No LLM in the loop. Deterministic.

The goal is not to prove a page is “safe.”

The goal is to decide whether your agent should fetch it automatically under policy.

[Microsoft Learn @MicrosoftLearn]

@entropy0ai Exactly! Governing actions is one layer, but governing inputs is what keeps agents from inheriting bad context in the first place.

[Entropy0 @entropy0ai]

Your AI agent can fetch a URL it has never checked — and treat it like trusted context.

I built a pre-fetch trust gate for OpenAI Agents SDK using function_tool.

Before the agent reads, Entropy0 scores the source across Trust, Threat, and Deviation.

https://t.co/TqxO8OrxRq → 96 trust → proceed
https://t.co/n2i3TjNPpr → 19 trust → deny
Same agent. One fetch apart.

Copy-paste example:
https://t.co/3rijpQJIuM

[Entropy0 @entropy0ai]

Agent security is splitting into two layers:

1. Runtime boundary
Where does the agent run, what tools can it use, what policies apply?

2. Context boundary
Should this external URL/doc/repo/code enter the workflow in the first place?

Self-hosted sandboxes help with the first.

The second needs source trust before retrieval.

[Entropy0 @entropy0ai]

Agentic AI needs two kinds of governance:

1. Before action
Can the agent call this tool or access this data?

2. Before context
Should this external source/doc/code enter the workflow at all?

The second layer is where source trust, evidence usability, and temporal behavior become important.

[Entropy0 @entropy0ai]

Because OOD is often detected too late.

By the time the model answers, the workflow may have already accepted weak context as usable evidence.

The better boundary is before synthesis:

source trust
evidence usability
temporal behavior

Then the model can say “I don’t know” for the right reason.

[Entropy0 @entropy0ai]

Agree. A short request-flow demo would probably explain it better than static copy.

The hierarchy should be:

Input source
→ Entropy0 evaluates supporting signals
→ one clear recommendation: proceed / sandbox / deny / review

The signals should explain the decision, not compete with it.

[Entropy0 @entropy0ai]

@ProductHunt Shipping Entropy0 this week 🚀

A trust layer for external sources before content enters a workflow.

It checks:

source trust
evidence usability
temporal behavior

The idea: trusted source ≠ usable evidence.

https://t.co/FAMEogi3cx

[Entropy0 @entropy0ai]

Traditional Zero Trust protects access.

Entropy0 protects context.

Before any external content enters an AI workflow, we check:

• Source trust
• Evidence usability
• Temporal behavior over time

Trust is not a snapshot. It is behavior over time.

https://t.co/FAMEogi3cx

[Entropy0 @entropy0ai]

https://t.co/YC2IenyBOM.

Vibe coding a trust gate for external sources.

Before content enters an AI workflow, Entropy0 checks:

Is the source trustworthy?
Is the retrieved evidence usable?
Has the source stayed stable over time?

Trusted source ≠ usable evidence.

[Entropy0 @entropy0ai]

@RoundtableSpace https://t.co/FAMEogi3cx

Building Entropy0 — stateful trust intelligence for external sources.

It checks source trust, evidence usability, and behavior over time before content enters a workflow.

Trusted URL ≠ usable evidence.

[Entropy0 @entropy0ai]

@TTrimoreau https://t.co/FAMEogi3cx

Building Entropy0 — stateful trust intelligence for external sources.

It checks source trust, evidence usability, and behavior over time before content enters a workflow.

Trusted URL ≠ usable evidence.

[Entropy0 @entropy0ai]

@sflorimm https://t.co/FAMEogi3cx

Building Entropy0 — stateful trust intelligence for external sources.

It checks source trust, evidence usability, and behavior over time before content enters a workflow.

Trusted URL ≠ usable evidence.

[Entropy0 @entropy0ai]

Entropy0 is no longer just a domain check.

It is becoming stateful trust intelligence for external sources.

A source check should not only answer:

“what does this look like now?”

It should also answer:

Has it stayed stable?
Has it changed state?
Is the retrieved evidence usable?
Can the workflow proceed?

Trust is not a snapshot.

It is behavior over time.