One AI layer. Every model.Automatically optimized.
ZeroCredit gives enterprises one intelligent layer for AI infrastructure — automatically understanding each request, selecting compatible models and providers, optimizing cost and performance, and handling provider-specific complexity behind one API.
Drop-in API · BYOK · Your models · Optimized spend
Three promises we can be held to
Others route your traffic. Others report your bill. We prove the result.
Every dollar we claim is tied to a specific request, with the evidence stored alongside it. If we can't attribute a saving, we don't count it — and we don't bill you for it.
Each money-saving step is measured against the premium answer it replaced. Anything that falls below our quality floor is withheld and never suggested to you.
Nothing switches itself on. Every change is a suggestion you approve, with the expected saving shown up front and a one-click undo afterwards.
Drop-in API + BYOK + cost optimization
Point your existing AI client here, using your own provider keys (BYOK).
Two ways in: change one base URL to route traffic through ZeroCredit, or connect your provider API keys in the dashboard and send requests from ZeroCredit. Together, every request — GPT, Claude, Gemini, Grok, DeepSeek, Kimi or Azure — is routed, cached, budget-checked, and optimized for cost while preserving quality. No SDK rewrites, no prompt rewrites, no infrastructure migration.
# Step 1: Point your existing AI client at ZeroCredit base_url = "https://zerocreditai.com/api/public/v1" api_key = "zc_your_key" model = "claude-sonnet-4-5" # or gpt-…, gemini-…, grok-…, "auto" # Step 2: Connect your provider API keys in ZeroCredit # and send requests from the dashboard, playground, or API # (OpenAI, Anthropic, Google, xAI, DeepSeek, Kimi, Azure…)
Real message arrays — system, user, assistant, tool turns and inline images reach the provider exactly as you sent them.
Token-by-token SSE straight from the provider, not a buffered answer replayed at the end.
Function calling, tool results and structured output pass through, routed only to providers that support them.
temperature, max tokens, top_p, stop, seed, penalties and response_format are forwarded verbatim.
Provider keys run model calls on your accounts. One ZeroCredit API key connects your application to the gateway.
Semantic caching, budget kill-switches, fallback chains and honest provider errors, with cost and model on every response header.
Embeddings, fine-tuning and provider-specific stateful APIs (assistants, threads, files) stay on your provider's own SDK for now.
Six steps, no migration
Point your client to one base URL and use a ZeroCredit API key; your connected provider keys run the models.
ZeroCredit understands each request — its capability, cost and context.
ML learns task, model and user patterns.
Optimize prompts, models, tokens and routing.
Predict future spend and budget risk.
Track cost, quality, margin and savings.
Built for teams where AI cost is a business metric
Reduce the cost of AI features without sacrificing quality.
Control AI spend across teams, workloads and providers.
Understand the cost behind every AI workload.
Don't just monitor AI spend. Make it learn.
ZeroCredit AI builds a continuously improving understanding of how your organization uses AI — by task, team, model, prompt and workload.
ZeroCredit AI learns how each customer's workloads behave and continuously tunes every request — even when you only use a single model.
- Contextual learning
- Per-customer preferences
- Single-model tuning
- Quality-aware selection
Reduce unnecessary tokens before they ever become model costs.
- Prompt compression
- Prompt trimming
- Response length optimization
- Quality guardrails
Measure models on the workloads that actually matter to your business.
- Quality
- Cost
- Latency
- Task-specific performance
- Per-user learning
Understand exactly what AI costs each workload, model and team — and where to cut it.
- Spend by model
- Cost per task
- Savings proof
- Budgets & alerts
- Forecasting
Know where your AI bill is going before it arrives.
- Spend forecasting
- Budget breach prediction
- Spend drivers
- Scenario analysis
Measure, understand, learn, optimize, forecast and control — across the AI providers you already use.
Read the docsFrom AI observability to AI optimization.
Seeing the spend is table stakes. Improving it — continuously, per workload — is the job.
See requests, latency, errors and spend.
Understand what is driving those costs.
Rules and static recommendations.
Machine learning learns workload behavior, model preferences and task patterns.
Tell teams what they could change.
Continuously identify and apply cost/quality optimizations.
Your AI stack should get smarter with every request.
ZeroCredit AI doesn't treat every request the same. Its learning layer builds a behavioral understanding of workloads and continuously improves model selection and optimization.
- 1Prompt
- 2Task + complexity + context + history
- 3ML optimization layer
- 4Candidate models
- 5Quality / cost / latency
- 6Best decision
- 7User feedback
- 8Learning loop
Every interaction provides another signal — what task was performed, which model was used, how much it cost, how long it took, and how users rated the result.
Over time, ZeroCredit AI becomes increasingly personalized to each customer's workload.
Know the economics behind every AI request.
ZeroCredit AI connects technical AI usage with financial outcomes.
Don't wait for the AI bill.
Forecast future AI spend using actual workload behavior, seasonality and historical usage.
Spend fewer tokens without losing intent.
ZeroCredit AI identifies unnecessary prompt content and compresses prompts while protecting instructions, code, URLs, numbers and important context.
When quality or intent changes beyond your configured threshold, the system reverts to the original prompt.
Know which model actually works best for your workloads.
Instead of relying only on provider benchmarks, ZeroCredit AI evaluates candidate models against representative workloads.
Model rankings become workload-specific instead of generic.
One intelligence layer across your AI stack.
You don't need to replace your existing AI infrastructure — ZeroCredit AI works with the providers and keys you already use.
Beyond the AI gateway.
An AI gateway helps move requests between models. ZeroCredit AI is designed to understand the economics of those requests — and continuously improve them.
One API across every provider — with enterprise controls
Provider-agnostic by design, with the controls and reporting your security review already wants to see.
Envelope encryption with per-tenant key isolation. Keys never leave your account.
Bring your own provider keys. You keep your billing relationships, rate limits, and audit trail.
Usage, costs, provider health, and controls stay scoped to the signed-in account.
Customer-visible records for supported credential and optimization changes.
Applied changes are recorded and can be reverted, so nothing happens silently.
TLS everywhere between your applications, ZeroCredit AI, and your providers.
Questions teams ask before they connect
Make every AI dollar work harder.
Connect your existing AI stack and start understanding where your AI spend goes — and how to reduce it.
Prefer to explore first? View pricing →