Safeguard: Zero
safeguard/zeroAvailable via Safeguard
Modality
Text
Context
Not published
Input
$0 / 1M tokens
Output
$0 / 1M tokens
Overview
Safeguard's no-weights model: it reads a data question into a deterministic, replayable query in process, so nothing leaves the platform and no model tokens are used.
- Provider
- Safeguard
- Modality
- Text
- Input
- text
- Output
- text
- Weights
- Safeguard model
- Tags
- security, token-free, deterministic
- Docs
- About Zero
Data policy
- Prompts go to
- Nowhere: Zero runs in process on the Safeguard platform
- Retention
- No model provider is involved. Customer data is never used to train shared models.
- Zero data retention
- Not stated by the provider
- Region
- The region your Safeguard workspace runs in
- Policy
- Safeguard data policy
Summarised from the provider's published terms. The provider's own policy is what applies.
Pricing
| Provider | Input / 1M tokens | Output / 1M tokens | Context |
|---|---|---|---|
| Safeguard | $0 | $0 | Not published |
- Notes
- Zero uses no model tokens: deterministic analysis, no LLM consumption.
- Source
- Safeguard pricing , last verified October 8, 2026
Safeguard model, priced by Safeguard.
API
OpenAI-compatible. Your API key and access to this model are set up for your workspace when you choose Use with Safeguard.
from openai import OpenAI
client = OpenAI(
base_url="https://api.safeguard.sh/v1",
api_key="SAFEGUARD_API_KEY",
)
response = client.chat.completions.create(
model="safeguard/zero",
messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)Base URL https://api.safeguard.sh/v1, model safeguard/zero.
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