Show HN: SentinelGate – Drop prompt injections at Token 0 before LLM inference

SentinelGate launched as an OpenAI-compatible API gateway that evaluates prompts in-memory and blocks suspected prompt injections and tool hijacks at "Token 0," before any upstream LLM tokens are spent. The service, pitched for high-stakes AI and ISO 20022 financial rails, seals each action with Ed25519-signed evidence bags and, on a veto, drops the socket via XDP_DROP in under 50 microseconds. Developers can point any OpenAI-compatible client at base_url https://api.sentinelgate.dev/v1 with an sk-sent- key; the Developer tier covers 50,000 requests per month, and a public kinematic preview runs without an API key.

Developer For individual builders, staging environments, and prototype validation. - 50,000 requests / month - 0-token prefill veto - .sent attestation hashes - Public notary lookups Checkout Developer https://buy.stripe.com/00w4gA7ta8Vq5PMeQj2Ry05 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 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\ https://sentinelgate.dev/cdn-cgi/l/email-protection 71181f171e3105191e19100507141f05040314025f121e1c Point any OpenAI-compatible client at SentinelGate — swap the base URL and keep your existing SDK. python 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.