White-label inference, multi-model consensus blends, and dynamic resilience routing — built for AI companies that cannot afford downtime. When a provider goes down, our blends absorb it. Your API is built to absorb provider failures at the blend layer.
OpenRouter connects developers to models. Calculus gives AI companies the layer they need to ship products — blending, branding, healing, and opacity included.
Your brand, your model names. On Epic, responses return yourco-pro — not calculus-pro. Your customers never see us.
14 hybrid blends combine frontier models with proprietary consensus voting. 90/10 or 50/50 weighting. Blend-native architecture is a core design principle, not an add-on.
We strip all upstream fingerprints — headers, model names, trace IDs, error messages. Your stack is invisible to customers and competitors.
Malformed JSON from any model is automatically detected and repaired before delivery. Five-pass healing pipeline handles the common failure modes that break integrations.
No storage at the Calculus layer. When ZDR is active, we route exclusively through enterprise inference infrastructure that operates under provider-level data processing agreements prohibiting training on customer data. Provider-level ZDR, not just gateway-level.
Every blend spans multiple providers. The architecture is designed so provider degradation is absorbed at the blend layer rather than surfaced to callers. Automatic weight redistribution on outage is on the roadmap for Q2 2026.
Use Calculus tiers for intelligent auto-routing across providers, or request named models directly for pinned access to specific frontier models with live market pricing.
Request any model by its exact name. Pricing tracks the live market — we scan competitor rates every 6 hours and update automatically. Elite tier unlocks value models; Epic unlocks the full catalog.
Pricing updated automatically via live market scan every 6 hours. All named model access via authorized inference infrastructure.
We actively strip all provider fingerprints before returning responses. Your customers and competitors cannot determine which models or infrastructure handle your workload.
On Epic, the model namespace is yours. Instead of returning calculus-pro, we return whatever alias you configure — your company name, your product name, your brand.
"model": "calculus-pro""id": "x-calculus-request-id"
"model": "joeai-pro""id": "x-joeai-request-id"
yourco-fast, yourco-pro, yourco-ultrax-yourco-request-idBlends serve two purposes simultaneously: they improve output quality through consensus voting, and they reduce single points of failure. Every blend spans multiple providers — the architecture is designed so provider outages are absorbed at the blend layer, not surfaced to callers. Automatic weight redistribution ships Q2 2026.
Pay only for what you use. No monthly minimums on Vibe and Elite. Enterprise contracts available.
Each request tries the next provider in your tier's chain if the primary fails. You get responses — not errors.
All current features ship in the base product. No add-on pricing, no professional services engagement required. Roadmap items (blend health monitoring, auto-reweighting) are noted where applicable.
No prompt or completion stored at the Calculus layer. Enable account-wide in settings or per-request via X-Calculus-ZDR: true header.
When ZDR is active, we enforce provider-level ZDR by routing exclusively through our enterprise inference network — infrastructure operating under provider-level data processing agreements that prohibit training on customer data. Your prompts are not stored or used at any layer of the stack.
Blends are architected to span multiple providers simultaneously. The next phase adds continuous health monitoring and automatic weight redistribution — when a provider goes offline, its blend weight moves to healthy models in real time. This is the Q2 2026 roadmap target.
A 50/50 blend would become 100% on the surviving model. When the provider recovers, weights restore automatically. This is currently in development and targeted for Q2 2026.
Malformed JSON from any upstream model is automatically detected and repaired before the response is returned. Five-pass healing pipeline handles the failure modes that typically break integrations — even at 3am.
Warm-context reuse on supported adapters. Long system prompts cached across requests — cost and latency reduction on repeated contexts. Tracked separately in /api/usage as cached tokens.
Security controls, access management, encryption, and data handling policies are being formally audited to SOC 2 Type II standards — the gold standard for enterprise procurement sign-off.
Enterprise customers requiring compliance documentation before signing: a controls summary and architecture review are available under NDA. Contact api@calculusresearch.io to begin the process.
Any framework that wraps the OpenAI SDK works out of the box. Change one URL. Nothing else.
Per-model token tracking, latency histograms, per-key spend breakdown, and CSV export via /api/usage. Webhook delivery for spend threshold alerts.
Drop-in replacement for any OpenAI-compatible SDK or tool. Change one line — your base URL. Everything else is identical.
Enterprise access provisioned within 24 hours. White-label config, ZDR setup, and onboarding call included on Epic.
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