# DataRobot Observability Bias Fairness API

**Canonical:** https://apis.io/apis/datarobot/datarobot-observability-bias-fairness-api/  
**Provider:** DataRobot — https://apis.io/providers/datarobot/  
**Base URL:** https://app.datarobot.com/  
**Documentation:** https://docs.datarobot.com/en/docs/api/reference/index.html

DataRobot Observability Bias Fairness API is one of 87 APIs that [DataRobot](https://apis.io/providers/datarobot/) publishes on the [APIs.io](https://apis.io/) network, described by a machine-readable OpenAPI specification. Tagged areas include observability_bias_fairness. The published artifact set on APIs.io includes an OpenAPI specification.

Use the endpoints described below to manage Bias and Fairness. Bias and Fairness testing provides methods to calculate fairness for a binary classification model and attempt to identify any biases in the model's predictive behavior. In DataRobot, bias represents the difference between a model's predictions for different populations (or groups) while fairness is the measure of the model's bias. Select protected features in the dataset and choose fairness metrics and mitigation techniques either [before model building](fairness-metrics#configure-metrics-and-mitigation-pre-autopilot) or [from the Leaderboard](fairness-metrics#configure-metrics-and-mitigation-post-autopilot) once models are built. [Bias and Fairness insights](bias/index) help identify bias in a model and visualize the root-cause analysis, explaining why the model is learning bias from the training data and from where.

## Operations (1)

| Method | Path | Summary |
|---|---|---|
| GET | `/api/v2/deployments/{deploymentId}/fairnessScoresOverTime/` | Retrieve fairness over time info of the deployment by deployment ID |

## Machine-readable artifacts (1)

- **OpenAPI** — https://artifacts.apis.io/datarobot/openapi/datarobot-observability-bias-fairness-api-openapi.yml

## Other DataRobot APIs (12)

- [DataRobot REST API v2](https://apis.io/apis/datarobot/datarobot-rest-api-v2/)
- [DataRobot DataRobot API](https://apis.io/apis/datarobot/datarobot-datarobot-api-api/)
- [DataRobot Datarobot Oss API](https://apis.io/apis/datarobot/datarobot-datarobot-oss-api/)
- [DataRobot Homebrew API](https://apis.io/apis/datarobot/datarobot-homebrew-api/)
- [DataRobot Info API](https://apis.io/apis/datarobot/datarobot-info-api/)
- [DataRobot Install API](https://apis.io/apis/datarobot/datarobot-install-api/)
- [DataRobot MCP API](https://apis.io/apis/datarobot/datarobot-mcp-api/)
- [DataRobot Memory API](https://apis.io/apis/datarobot/datarobot-memory-api/)
- [DataRobot Oauth2 API](https://apis.io/apis/datarobot/datarobot-oauth2-api/)
- [DataRobot Projects API](https://apis.io/apis/datarobot/datarobot-projects-api/)
- [DataRobot Registereddeployments API](https://apis.io/apis/datarobot/datarobot-registereddeployments-api/)
- [DataRobot Uv API](https://apis.io/apis/datarobot/datarobot-uv-api/)

## Tags

observability_bias_fairness

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/apis/datarobot/datarobot-observability-bias-fairness-api/). The API's provider profile, Kin Score and agent-readiness rating are at https://apis.io/providers/datarobot/.