Arkheia
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Arkheia · API Proxy

Stop flying blind
on AI calls

Point your model calls through Arkheia. Get runtime risk verdicts, cost attribution, and receipts without changing your application logic.

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§ 00 · First Useful Call

Three steps to the first verdict

The self-serve path is intentionally small: make one AI call through Arkheia, see whether it was trustworthy, and keep the receipt.

01

Get a key

Create a free key or use an existing Arkheia key. The first useful verdict should not require a sales call.

02

Change one base URL

Point your model calls through Arkheia's OpenAI-compatible endpoint and keep your existing provider key.

03

Read the verdict

Responses keep their provider shape and add Arkheia risk, confidence, flags, recommendation, cost, and receipt metadata.

Endpoint swap

OPENAI_BASE_URL=https://api.arkheia.ai/v1
ARKHEIA_API_KEY=ak_live_...
OPENAI_API_KEY=sk-...

What gets added

"arkheia": {
  "risk_level": "HIGH",
  "confidence": 0.84,
  "recommendation": "hold_for_review",
  "receipt_id": "rcpt_abc123"
}

§ 01 · Who It's For

Designed for the 10× development workflow

Primary audience

Developers building with AI agents

You're using Claude Code, Cursor, or similar AI coding tools — or building agent pipelines yourself. You ship fast. Arkheia sits in your API path and surfaces risk in real time, so you know which outputs to trust and which to verify. No workflow changes. Integration in 15 minutes.

Also works for

Anyone comfortable in a terminal or IDE

If you can change a base URL and add a header, you're set. No infrastructure to run, no SDK to install. Works with any language or framework that makes HTTP calls to OpenAI, Google, or Anthropic.

§ 02 · Integration

Three steps. Fifteen minutes.

01

Change your endpoint

Point your API calls to api.arkheia.ai instead of api.openai.com (or api.google.com, api.anthropic.com). One line of config.

02

Pass your API key

Use your existing provider key. We forward your requests on your behalf — no new model accounts, no new quotas.

03

Get enriched responses

Standard responses return unchanged. Risk metadata is appended: risk level, confidence, which signals fired, and a recommendation.

Enriched response shape

{
  "choices": [ /* standard provider response, unchanged */ ],
  "arkheia": {
    "risk_level":     "HIGH",
    "confidence":     0.84,
    "flags":          ["signal_anomaly"],
    "recommendation": "verify_manually"
  }
}

Claude Code · Cursor · MCP agent frameworks

Using Claude Code or Cursor? The MCP Trust Server integrates at the tool layer — no endpoint changes needed.

Learn more →

§ 03 · Use Cases

Where detection matters

Agent pipelines

Multi-step agentic workflows where one abnormal output cascades. Per-invocation detection lets you gate, retry, or escalate before the pipeline continues.

Code generation

Flag when models reference non-existent libraries, generate uncertain patterns, or produce output that deviates from their established baseline.

Legal and research tools

Detect when AI cites sources or precedents with atypically high confidence across uncertain terrain. Reduce verification overhead on high-stakes output.

Customer-facing AI

Know when a response needs human review before it reaches a user. Reduce incorrect information at the point of generation, not after.

§ 04 · Coverage Posture

Built to follow the models serious teams actually use.

Detection is profile-based, not a generic threshold. Current public model families are covered as named profiles or held as explicit onboarding targets before production use. We do not claim support for models we cannot access or characterize.

74

models visible in registry

359

characterisation runs

70,562

prompts tested

15,834

features mapped

OpenAI

  • Current GPT frontier family
  • Mini / nano variants
  • Codex / coding profiles
  • GPT-OSS where telemetry permits

Anthropic

  • Current Claude Opus family
  • Current Claude Sonnet family
  • Current Claude Haiku family
  • Fable 5: not claimed until accessible

Google

  • Current Gemini Pro family
  • Current Gemini Flash family
  • Flash-Lite / low-latency variants
  • Prior Gemini family fallbacks

xAI

  • Current Grok frontier family
  • Fast / lightweight variants
  • Coding / build profiles where available

Open Weights

  • Llama / Mistral / Qwen
  • DeepSeek
  • Kimi / Moonshot
  • GPT-OSS
  • Customer local models

Visible Model Lab registry snapshot supplied 2026-06-27; this is one surface of the broader six-month characterisation corpus. Production gating requires a pinned model profile. Newly released or inaccessible models are observe-only until characterisation passes.

§ 05 · Data Policy

Your keys. Your data. Your control.

What we observe

  • Requests pass through in transit only
  • Behavioural signals: token probabilities, timing
  • Never stored — extracted and discarded

What we store

  • Aggregated risk metrics for your dashboard
  • Usage statistics (request counts)
  • NOT prompts · NOT responses · NOT history

Your API keys

  • Bring your own keys — no new accounts
  • We forward on your behalf
  • Encrypted at rest
  • You control access and rate limits

§ Get Started

Add Arkheia to one AI call

Start in observe-only mode. Upgrade when you need retention, team projects, policies, or audit exports.

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