Engineering discipline for autonomous agents

Your agent works in the demo.
Does it work in production?

Archonics performs context engineering audits on production AI agent systems. We examine discoverability, system prompts, tool definitions, context packing, and evaluation infrastructure — the five dimensions that decide whether an agent built in a demo can be found, called, and survive real traffic.

Start with a free scan → Read a sample audit

// Five dimensions

Most agent failures are context failures, not model failures.

Dimension 0 · Prerequisite

Discovery & indexability

Before the four dimensions below matter, a service has to be discoverable to the agents that would invoke it. We examine presence across MCP Registry, x402scan, CDP Bazaar, agentic.market and the GitHub topic graph; correctness of the discovery JSONs against each indexer's parser; brand-impersonation risk; and the agent-readable surfaces (llms.txt, /agents.json) a calling agent reads on landing.

Read the spec →

System Prompt Analysis

Role clarity. Instruction conflicts. Negative space. Priority structure. Token efficiency. Format specification. Failure-mode coverage. Every system prompt is a specification document — we read it as one.

Tool Definition Review

Description quality. Parameter schema precision. Parameter documentation. Error response design. Tool-set coherence. Discoverability. Tool descriptions are prompts in disguise — weak ones cause hallucinated calls.

Context Packing

Content inventory. Redundancy detection. Freshness logic. Ordering. Truncation risk. Cost per turn. Cache utilization. Context is the most expensive resource an agent has. Waste is ubiquitous.

Evaluation Gap Analysis

Eval coverage. Regression protection. Tool-call accuracy. Behavioral guardrails. Production observability. Failure-case library. Feedback-loop latency. An agent without evals is an agent whose quality is a rumor.

// Public audit — GPT-Researcher

We audited one of the most popular open-source agents and published the results.

GPT-Researcher has twenty-six thousand stars and sixty-nine releases. It is architecturally sound and actively maintained. It also has nineteen findings in a rigorous audit — two of them critical.

Read the full report. It's how we'd write one for your team, at the same depth, applied to your system prompt, your tool definitions, your context, your evals. No sales call, no gated form, no marketing warmth — just the audit.

Read the full audit (PDF) →

Findings surfaced

Rated critical

Dimensions examined

∅

Prior engagement

// Four ways to start

An audit sized to how ready you are to fix things.

Tier 01

Free Scan

— MCP server, unlimited runs

Connect our MCP server to Claude Desktop, Cursor, or Claude Code. Ask for an audit of any prompt, tool, or context dump. Get three findings back inline, ranked by severity, with specific fixes.

Top 3 findings per scan
One Archonics dimension
Bring your own Claude API key
Ephemeral — no retention

Install the MCP server

Tier 02

Dimension Zero Audit

$19

— USDC via x402, per audit

Programmatic discoverability audit. POST your service URL to the x402 endpoint, pay $19 USDC, get a per-directory verdict + prioritized fix list back in ~25 seconds. Agent-callable; sized below typical autonomy thresholds.

D0 only, full depth
Per-directory verdict
Specific failure repro
Ready-to-paste fix code
Synthesized by Claude

Pay $19 USDC →

Tier 03 · Popular

Instant Audit

$49

— USDC via x402, per audit

Full methodology applied programmatically to a submitted system. POST to the x402 endpoint, pay with agent-native rails, receive a complete audit report as JSON + PDF in under a minute.

All five dimensions (D0–D4)
5-10 page PDF report
Prioritized fix list
Recommended eval additions
Discoverable via x402 (.well-known)

Pay $49 USDC →

Tier 04

Full Audit

$750

— per engagement

Human-reviewed audit of your complete agent system. Tuned to your team's context, your buyers, your production traffic patterns. The report that changes what you ship next sprint.

15-25 page PDF, hand-written
Full methodology + your evals
Written debrief, no call needed
NDA on request

Request an engagement

// Questions worth answering

What you probably want to know before you submit anything.

Who actually writes these audits?

The Free Scan and Instant Audit are produced by an audit engine running Claude against the Archonics Audit Methodology as its system prompt. The Full Audit is human-reviewed end-to-end. The methodology itself is public; there is no secret sauce — just the rigor of applying a good framework to a specific system.

Will you look at proprietary prompts?

Yes. Submitted content is processed ephemerally. Nothing is retained on Archonics infrastructure. Nothing is used to train any model. Aggregated, anonymized patterns inform methodology improvements — specific content does not. Teams requesting higher assurance (NDAs, data processing agreements) are accommodated at the Full Audit tier. Privacy details →

Why $49 USDC for the Instant Audit?

Because agents can pay for it without a human in the loop. The x402 protocol is designed for autonomous service-to-service commerce, and an audit is exactly the kind of service an agent builder might want to invoke programmatically — in CI, in a deployment pipeline, after a prompt change. $49 is small enough to not require approval, large enough to cover the real cost of a rigorous audit.

Can I just read the methodology and do it myself?

Yes, completely. The Archonics Audit Methodology is public and self-contained. If you have the time and taste to apply it carefully to your own system, you will produce a good audit. We exist for teams that would rather pay to get that second pair of eyes faster, or who want the discipline of an outside read.

What's the catch with the Free Scan?

There is no catch, but there is a constraint. The free tier covers one Archonics dimension at a time and returns three findings. If your agent has twelve issues across five dimensions, the free scan surfaces three of them. The paid tiers exist for teams that want all twelve.