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See how XSheet fits your Excel models.

Tell us what your team calculates in Excel and which applications need the results. Explore how your model would become an API and run in your environment.

  • From workbook to API

    Discuss the inputs, outputs and checks needed to make your model available to applications.

  • Inside your environment

    Review customer-hosted deployment and who controls the infrastructure, data and model releases.

A brief description is enough for the first conversation. You don’t need to send a workbook.

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Planning an evaluation

Agree what the evaluation must demonstrate.

Demonstrations use test workbooks and synthetic data. Agree a suitable evaluation environment before sharing a model.

  1. Establish model coverage and expected results

    Review formulas, lookup tables and workbook features. Identify the API inputs and outputs, then agree representative cases and the results they should produce.

  2. Walk through integration and a model change

    Check how a calling application will use the API. Examine a proposed model change, its test results and approval record, including what a changed API contract means for callers.

  3. Measure the agreed workload

    Set traffic and acceptance criteria before the run. Measure the full request path, latency percentiles, errors, cold-start behavior and memory on the intended hardware.

  4. Complete the operating and vendor review

    Assess identity, data handling, release delivery and recovery responsibilities. Record the support scope, contractual requirements and remaining evidence needed before a production decision.

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