Developer
For individual builders, staging environments, and prototype validation.
- 50,000 requests / month
- 0-token prefill veto
- .sent attestation hashes
- Public notary lookups
Cryptographic execution control for high-stakes AI. SentinelGate halts adversarial injections and tool hijacks at Token 0—evaluating prompt kinematics in-memory with sub-millisecond overhead, before execution, and before token spend. Every action is sealed with tamper-evident Ed25519 evidence bags engineered for ISO 20022 financial rails.
Run a public kinematic preview — no API key required. Emerald = permit. Coral = Phase III topological collapse.
{
"status": "resting",
"note": "Awaiting audit — Run Audit or select a preset"
}
Provisioned automatically via billing webhooks — keys minted as sk-sent-XXXX into the Sentinel ledger.
For individual builders, staging environments, and prototype validation.
For live production systems requiring high throughput and strict veto enforcement.
Dedicated clusters, custom kinematic threshold tuning, and financial rail SLAs.
XDP_DROP sub-50µs socket severing)or email directly: [email protected]
Point any OpenAI-compatible client at SentinelGate — swap the base URL and keep your existing SDK.
from openai import OpenAI
client = OpenAI(
api_key="sk-sent-XXXX",
base_url="https://api.sentinelgate.dev/v1",
)
completion = client.chat.completions.create(
model="meta-llama/Llama-3.3-70B-Instruct",
messages=[{"role": "user", "content": "Execute financial database reconciliation."}],
)
Differentiation, financial rails, integration, retention, veto mechanics, and key operations.
SplmtryData) envelopes.
base_url to https://api.sentinelgate.dev/v1 and pass your sk-sent-... API key. Prompts, schemas, streaming, and tool calls work out of the box with zero code refactoring.
kinematic_security_veto, and drops the socket before upstream tokens are consumed. The client receives an Ed25519-signed evidence bag detailing the thermodynamic state coordinates and attestation hash for audit logging.