Controlled Agents
Build research, red-team, creative, and workflow agents with model routing, budget boundaries, and usage receipts
Use one OpenAI-compatible API for managed and open models, with visible routing, cost controls, signed records, and batch capacity for production workloads
Create an API key, copy the API endpoint, run a real Playground request, then inspect usage, cost, top-ups, and VaaS evidence.
Open pathEnterprise pathOpen the production management surface for projects, keys, usage, request logs, billing, VaaS, reserved capacity, dedicated endpoints, and security posture.
Open pathAgent pathManage agent keys, coding access, run history, usage by agent, billing, and VaaS from one workspace path.
Open pathSee how BatchIn brings Model API, Multimodal API, Billing, VaaS, and Dedicated Capacity into one workspace.
OpenAI-compatible API with signed records, access controls, and production-ready model delivery.
Create an account, copy your API key, and apply an invite code for approved access or cohort programs if you have one
batchin-sk-xxxx...Using OpenAI SDK? Just change one line of code
client = OpenAI( base_url="https://api.batchin.tech/v1", api_key="YOUR_KEY" )
Route production inference across managed, dedicated, and policy-controlled delivery paths without changing SDKs.
OpenAI-compatible by default. Validate in Playground first, then move repeatable traffic into Model API
Choose production-ready models with pricing, latency, and availability visible in one catalog.
Open Models to view requestable models, public pricing, and account availability.
Estimate cost by model and monthly usage.
Reserve high-performance capacity monthly for stable high-load inference and training
Build production AI products around Model API, Multimodal API, Billing, VaaS, and Dedicated Capacity
Build research, red-team, creative, and workflow agents with model routing, budget boundaries, and usage receipts
Manage budgets, attribution, alerts, and model policy by workspace, API key, customer_id, feature, and model
Keep verifiable usage receipts for billable requests across reconciliation, downstream billing, audit, and disputes
Cover text, code, image, video, speech, and embeddings from one platform without stitching together multiple vendors and tools
Build verifiable checkout, top-up, billing ledger, and receipt flows across card, USDC, and approval-gated x402 paths
Reserve dedicated capacity for steady high-load inference while your team keeps the runtime, model stack, and operating rules
Run production AI traffic with clearer cost control, delivery options, and verification.
Tell us whether you need shared access, dedicated capacity, private deployment, data residency, or regional delivery planning.
Access planning
The public site does not collect deployment requests on the homepage. Email your team, model or media needs, expected traffic, budget guardrails, and whether you need dedicated capacity or data residency, and we will route you to the right access path.
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