aid: uptrain url: https://raw.githubusercontent.com/api-evangelist/uptrain/refs/heads/main/apis.yml name: UpTrain kind: company description: UpTrain is an open-source (Apache-2.0) unified platform to evaluate and improve generative AI and LLM applications. It ships a Python framework plus a managed evaluation API that grades responses against 20+ preconfigured checks - context relevance, factual accuracy, response completeness, hallucination, tonality, prompt injection and more - and performs root cause analysis on failure cases. image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg tags: - AI - LLM - Evaluation - LLM Evaluation - Observability - Open Source created: '2026-06-20' modified: '2026-06-20' specificationVersion: '0.19' apis: - aid: uptrain:uptrain-evaluations-api name: UpTrain Evaluations API tags: - Evaluation - LLM - Checks image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg humanURL: https://docs.uptrain.ai/ baseURL: https://demo.uptrain.ai/api/public properties: - url: https://docs.uptrain.ai/getting-started/introduction type: Documentation - url: https://docs.uptrain.ai/predefined-evaluations/overview type: APIReference - url: openapi/uptrain-openapi.yml type: OpenAPI description: Runs evaluations (POST /evaluate) on supplied LLM input/output/context rows against a list of named checks such as context_relevance, factual_accuracy, response_completeness and response_conciseness, returning per-row grades and explanations. Authenticated with an uptrain-access-token header. - aid: uptrain:uptrain-log-and-evaluate-api name: UpTrain Log and Evaluate API tags: - Logging - Evaluation - Projects image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg humanURL: https://docs.uptrain.ai/ baseURL: https://demo.uptrain.ai/api/public properties: - url: https://docs.uptrain.ai/getting-started/quickstart type: Documentation - url: openapi/uptrain-openapi.yml type: OpenAPI description: Logs evaluation data under a named project and evaluates it in one call (POST /log_and_evaluate), persisting results so they appear on the managed UpTrain dashboard with real-time monitoring. The same endpoint backs evaluate_experiments for A/B comparison of prompt or model variants. - aid: uptrain:uptrain-root-cause-analysis-api name: UpTrain Root Cause Analysis API tags: - Root Cause Analysis - RAG - Diagnostics image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg humanURL: https://docs.uptrain.ai/ baseURL: https://demo.uptrain.ai/api/public properties: - url: https://docs.uptrain.ai/predefined-evaluations/overview type: Documentation - url: openapi/uptrain-openapi.yml type: OpenAPI description: Performs root cause analysis (POST /perform_root_cause_analysis) on failing RAG or LLM responses, classifying why a response was poor - e.g. incomplete context, poor retrieval, or hallucination - to guide remediation. - aid: uptrain:uptrain-runs-api name: UpTrain Runs and Datasets API tags: - Runs - Datasets - Checksets image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg humanURL: https://docs.uptrain.ai/ baseURL: https://demo.uptrain.ai/api/public properties: - url: https://docs.uptrain.ai/getting-started/quickstart type: Documentation - url: openapi/uptrain-openapi.yml type: OpenAPI description: Manages evaluation datasets, checksets (reusable bundles of checks), and runs that pair a dataset with a checkset - create a run (POST /run), poll its status (GET /run/{run_id}) and download its results (GET /run/{run_id}/results). common: - type: GitHubOrganization url: https://github.com/uptrain-ai - type: LinkedIn url: https://www.linkedin.com/company/uptrain-ai - type: Website url: https://uptrain.ai/ - type: Documentation url: https://docs.uptrain.ai/ - type: Plans url: plans/uptrain-plans-pricing.yml - type: RateLimits url: rate-limits/uptrain-rate-limits.yml - type: FinOps url: finops/uptrain-finops.yml maintainers: - FN: Kin Lane email: kin@apievangelist.com