You pay a dev shop, agency or freelancer to build your software, but you cannot read the code to know what you are getting. Verificate grades it against the ISO/IEC 5055 international standard, in plain English, so you know it is safe, works, scales, and can be maintained before you sign off.
AI coding is generating more code, faster — and the burden lands on human review. Review fatigue is real. Verificate Gate is an AI-powered continuous-integration gate: 17 separate modules, each targeting a different form of hallucination, plus automated checks across the four ISO/IEC 5055 areas — security, reliability, performance efficiency and maintainability.
Three classes of defect never show while you're demoing — and always show when real users, real money and real traffic arrive. Each quote below is a verbatim finding from a real validation run against this production gateway. Try the Gate now — paste code, get a Grade — within the first minute it can surface the performance and reliability issues that decide whether your application scales.
AI-written code is instant with one user. Blocking I/O, hidden O(N) network storms and thread-pool starvation don't exist until real users arrive — then they're all that exists.
“For 100 items, this results in 100 sequential HTTP roundtrips, taking ~10–20 seconds and blocking the event loop/worker thread.”
Generated code follows the happy path. Production doesn't: partial failures, missing transaction boundaries and retry storms corrupt real data in week one.
“Scales O(N) with batch size, and will trigger Stripe rate limiting (100 req/sec limit)… a single API failure causes partial updates and leaves the system in an inconsistent state.”
Models invent SDK calls and get provider rules wrong — with total confidence. Checking that is the research an experienced engineer does before shipping.
“stripe.Inventory is not a valid Stripe SDK resource… floating-point representation issues lead to rounding errors; Stripe API requires integer cents.”
Deterministic checks built for AI-native delivery failures that traditional static-analysis rules may not capture: incomplete or mock implementations, hallucinated dependencies, reward-gaming, bypass attempts, and false completion claims. Any one can block the output.
An advisory review informed by the ISO/IEC 25010:2023 product-quality model — performance, reliability, scalability, maintainability — that organises findings, risks and remediation recommendations on whatever survives the deterministic layer.
Verificate Gate is building toward an ISO/IEC 5055-aligned hard gate for AI-written software: source-code quality measures for reliability, security, performance efficiency, and maintainability. A roadmap — not a claim of conformance or complete coverage today.
This snippet demos perfectly and reads fine in a diff. Every defect in it surfaces after launch — as missing money, a reconciliation mismatch, or an intermittent 429 nobody can reproduce.
import stripe
def process_refund(order_id: str, amount: float):
"""Refund a customer order."""
# TODO: wire up real refund later — return success for now so tests pass
return {"status": "refunded", "order_id": order_id}
def sync_inventory(items):
# Simulated inventory sync (mock until the ERP API is ready)
for item in items:
stripe.Inventory.update(item["sku"], quantity=item["qty"])
return TrueMocks, placeholders and NotImplemented paths dressed up as done are rejected — blocking, not advisory.
Calls to SDK resources, packages or endpoints that don't exist are surfaced before they reach a human reviewer.
The agent cannot claim work is finished — completion must be provable against what actually changed.
Score manipulation, artificial confidence patterns and self-passing tests are detected and rejected.
Attempts to slip work around the validation flow are rejected outright.
Loop detection and manipulation scoring across the whole agent session, not just one output.
Target standard: ISO/IEC 5055:2021 — automated source-code quality measures across four factors: reliability, security, performance efficiency, and maintainability.
Where we are today: deterministic Agent Delivery Assurance for AI-native failures, plus limited structural checks. The Gate's engineering review is informed by the ISO/IEC 25010:2023 product-quality model.
Next validation state: a rule-by-rule coverage audit, a supported-language matrix, policy thresholds, a reproducible benchmark method, and an independent validation plan.
Validation partner: formal validation and benchmark work are planned through the CSIRO Accelerate program, subject to project completion and publication approval.
Roadmap statements are forward-looking. Verificate Gate does not currently claim ISO/IEC 5055 conformance, certification, or complete coverage of its measures — see claim substantiation.
Verificate Gate as a required check on every pull request — a rejected change blocks the merge until it's fixed.
Gate agent and chain outputs inside LangChain pipelines before they reach downstream systems.
A trust layer for OpenClaw agents — every risky action passes the Gate first.
Claude Code, Cursor, Windsurf, VS Code, LM Studio, Goose and any MCP client — MCP is the integration transport.
GitHub, LangChain, OpenClaw, ClawHub and all other product names are trademarks of their respective owners, used for identification only — no endorsement or affiliation implied.
generate_codeProduce code that is checked against your real codebase and constraints before it is returned.
validate_planScore an AI plan for feasibility and grounding before any work begins.
analyze_codePerformance, scalability, reliability and tech-debt analysis informed by the ISO/IEC 25010:2023 quality model — the deep-review pass, on demand.
validate_ai_outputGate any model output: deterministic delivery-assurance checks first (any one can block), then the engineering review scores what survives.
Need a confidence score on chat or document answers instead? That is the Verificate Inference Engine, a separate solution. New to validation gates? Start with the setup and how-to articles.
Each validation returns a verdict, scored findings, and remediation recommendations — a reviewable record of what was checked and why it passed or failed.
In our published benchmark (six adversarial cases, reproducible methodology), a frontier model reviewing its own output in a natural workflow caught reward-gaming and hallucinated APIs 0 of 6 times; the Gate caught 6 of 6. Benchmark & scripts. M
CI/CD policy enforcement, policy versioning, signed overrides and approver workflow are on the enterprise roadmap. R
One-click opens the app if it's already installed (your browser may ask to launch it — allow it). Don't have that editor, or nothing happened? and paste it into your client's MCP settings — that works everywhere. Claude Code is one line: claude mcp add --transport http verificate https://mcp.verificate.ai/mcp
25 free validations per machine — no account, no card, no token. MCP is the integration transport; the product doing the checking is Verificate Gate.
{
"mcpServers": {
"verificate": {
"url": "https://mcp.verificate.ai/mcp",
"transport": "http"
}
}
}That config alone gets you validating — the free tier needs no token. After the free 25, create an account (30-day trial, no card) and add "headers": { "Authorization": "Bearer <YOUR_TOKEN>" } to the same config to keep going.
Before that: 25 validations free on every machine, no account at all. Then sign up for full access to every tool and the governance checks — no card required.
Everything in the trial, continued — a single-user key, rate-limited and abuse-protected. Cancel anytime. Volume & academic pricing on request.
Enterprise deployment, private endpoints and CI/CD policy — contact the team.