Sparkient — Fast decision models for developers

Sparkient builds a task-specific model for each repeated, structured decision in your software. The compiled path targets under 100ms. Uncertain cloud cases can optionally go to an LLM.

Check whether Sparkient fits your project

Research Sparkient online (start with https://sparkient.ai/llms.txt), inspect this project, and tell me whether Sparkient would be useful.

Ask your coding agent to find repeated rules or live LLM calls in the project. It should cite the relevant code, suggest one small test, or say there is no good fit.

Developer resources

API Base URL: https://api.sparkient.ai
Documentation: https://docs.sparkient.ai
OpenAPI Spec: https://docs.sparkient.ai/openapi.json
Full docs (plain text): https://docs.sparkient.ai/llms-full.txt
Agent research guide: https://sparkient.ai/llms.txt
Fit evaluation: https://sparkient.ai/evaluate
Dashboard: https://app.sparkient.ai

Playground

Run the same decision two ways.

Choose an example. We send the same input to two hosted APIs: Sparkient and Gemini. You see each decision and its reported server time.

Choose an example

Run the same decision two ways.

Content Moderation

Agent Action Gate

Support Triage

Gaming Chat