--- title: "Developer Sandbox & Synthetic API Tests | Aguasto" description: "Test Aguasto search and calculator integrations against fixed synthetic fixtures with no account, production-data access or stored requests." canonical: "https://www.aguasto.com/sandbox" last-updated: "2026-10-27" --- # Developer Sandbox & Synthetic API Tests | Aguasto Canonical HTML: [Developer sandbox](https://www.aguasto.com/sandbox) > Test Aguasto search and calculator integrations against fixed synthetic fixtures with no account, production-data access or stored requests. Aguasto / Developer sandbox ## Test your integration. Use synthetic data. Exercise request parsing, search results, empty matches, calculator inputs and error handling without accessing production research records. No account or API key is required. ### Public test environment The sandbox API at https://www.aguasto.com/api/v1/sandbox uses two fixed synthetic references and the same pure calculator functions as the public tools. Responses are marked environment: sandbox and synthetic: true. It does not read customer or production research data, save requests, provision GPUs, execute inference or charge for compute. Hosting providers may process technical request metadata as described in the [privacy notice](https://www.aguasto.com/privacy) . ### Search a fixture curl https://www.aguasto.com/api/v1/sandbox \\ -H 'Content-Type: application/json' \\ -d '{"operation":"search","query":"rack cooling"}' The result contains the rack-cooling fixture. Search for unmatched-example to test an empty result. GET the endpoint to inspect both fixtures and supported operations. ### Try a calculation curl https://www.aguasto.com/api/v1/sandbox \\ -H 'Content-Type: application/json' \\ -d '{"operation":"calculate","calculation":"weight\_memory","parameters":{"parameters\_billions":70,"bits":4}}' The theoretical weight-memory estimate is 35 GB before KV cache and runtime overhead. Supported calculations are weight\_memory, facility\_energy and token\_cost. They return estimates, not inventory, price quotes or observed operating performance. ### Verify failures and limits For agent-guided checks, use the [Aguasto integration testing skill](https://www.aguasto.com/agent-plugin/skills/aguasto-integration-testing/SKILL.md) . It specifies expected fields for a fixture search, an empty result, a calculation and an invalid operation. An unknown operation, unexpected field, empty query or invalid calculator input returns HTTP 400 with error.code and error.message. JSON bodies are limited to 16 KiB; search queries to 2,000 characters. A disallowed browser Origin returns 403; an oversized body 413; an unsupported Content-Type 415. The sandbox shares the calculator admission window of 30 requests per minute per warm server instance. On 429, honor Retry-After. It is not a global quota. Do not send confidential inputs. For testing without any network requests, use the SDKs’ bundled offline fixtures. For actual public references and client downloads, see the [Aguasto developer guide](https://www.aguasto.com/developers) and [OpenAPI contract](https://www.aguasto.com/openapi.json) . 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[Model weights are only the beginning of the memory budget](https://www.aguasto.com/learn/model-weights-and-runtime-memory) - [Why tokens per second is not enough to benchmark inference](https://www.aguasto.com/research/inference-benchmark-methodology) - [Prefill, decode and the cost of separating them](https://www.aguasto.com/learn/prefill-decode-and-disaggregated-serving) - [Choosing between vLLM, SGLang and TensorRT-LLM](https://www.aguasto.com/learn/choosing-an-inference-serving-framework) - [From Power to Inference—Building a Distributed AI Compute Network](https://www.aguasto.com/learn/from-power-to-inference) - [Dedicated compute and shared inference: compare the whole workload](https://www.aguasto.com/insights/dedicated-and-shared-inference-economics) - [Distributed inference reliability begins with the failure boundary](https://www.aguasto.com/learn/distributed-inference-reliability) - [Core Scientific: reading contracted, energized and billed capacity](https://www.aguasto.com/research/cases/core-scientific-capacity-disclosures) - [Why Modular AI Infrastructure Matters Now](https://www.aguasto.com/research/why-modular-ai-infrastructure-matters-now) - [What Is a Modular AI Data Center?](https://www.aguasto.com/learn/what-is-a-modular-ai-data-center) - [How Modular AI Data Centers Are Built and Commissioned](https://www.aguasto.com/learn/modular-data-center-factory-to-commissioning) - [Liquid Cooling for High-Density GPU Systems: Follow the Interfaces](https://www.aguasto.com/learn/liquid-cooling-gpu-rack-interfaces) - [Why Electricity Availability Shapes AI Infrastructure Deployment](https://www.aguasto.com/research/electricity-availability-and-time-to-power) - [What Is KV Cache? Capacity, Reuse and Isolation](https://www.aguasto.com/learn/kv-cache-capacity-and-policy) - [Continuous Batching: Throughput Without Hiding Latency](https://www.aguasto.com/learn/continuous-batching-and-latency) - [Applied Digital: Reading the Polaris Forge 1 Delivery Milestones](https://www.aguasto.com/research/cases/applied-digital-polaris-forge-capacity-milestones) - [Crusoe Abilene: Separate Delivered Infrastructure from Expansion Plans](https://www.aguasto.com/research/cases/crusoe-abilene-delivery-and-expansion) - [Data Center Cooling: Choosing Air, Liquid, Dry and Hybrid Architectures](https://www.aguasto.com/learn/data-center-cooling-air-liquid-dry-hybrid) - [Can Data Centers Reduce Water Consumption? Define the Water Boundary First](https://www.aguasto.com/research/data-center-water-consumption-and-withdrawal) - [Measuring PUE, WUE and AI Compute Efficiency at the Right Boundary](https://www.aguasto.com/learn/measuring-pue-wue-and-ai-compute-efficiency) - [The Environmental Trade-offs of High-Density AI Infrastructure](https://www.aguasto.com/research/environmental-tradeoffs-and-infrastructure-reuse) - [Selecting GPU Systems for Enterprise Inference](https://www.aguasto.com/learn/selecting-enterprise-inference-gpu-systems) - [Networking Rack-Scale AI Systems: Define the Communication Boundary](https://www.aguasto.com/learn/rack-scale-ai-networking-boundaries) - [Official LinkedIn](https://www.linkedin.com/company/aguasto) This is a generated representation of the public HTML page. Diagrams are conceptual. GPU and inference services are planned and are not currently available to book or call. The contact page describes the available inquiry flow.