How AI is applied across API Evangelist and APIs.io. Read my AI disclosure →
API Evangelist API Evangelist
Discovery
Learnings
Guidance
Toolbox
Alignment
API Evangelist LLC

ArthurAI ML Evals API

The ML Evals API from ArthurAI — 1 operation(s) for ml evals.

ArthurAI ML Evals API is one of 98 APIs that ArthurAI publishes on the APIs.io network, described by a machine-readable OpenAPI specification.

Tagged areas include ML Evals. The published artifact set on APIs.io includes an OpenAPI specification.

This API exposes 1 operation across 1 path, and defines 13 schemas. It is described by OpenAPI 3.2.0, at version 2.1.688.

Requests are made against a single base URL, https://platform.arthur.ai/api.

1 operations 1 paths 13 schemas 1 POST

Metadata

The identity and technical contract details declared by the specification.

Specification
OpenAPI 3.2.0
API Version
2.1.688
Base URL
https://platform.arthur.ai/api
Authentication
HTTP Bearer
Resource Areas
1

Authentication & Security 1

ArthurAI ML Evals API declares 1 security scheme for authenticating requests. It accepts HTTP bearer tokens (API_Key).

  • API_Key — Bearer token authentication with an API key

Paths & Operations 1

Across 1 path, the API surfaces 1 operation — 1 POST. Each is listed below with its method, path, parameters, and response codes.

ML Evals 1
POST
/api/v2/tasks/{task_id}/ml_evals/{eval_name}
Save an ML eval
save_ml_eval_api_v2_tasks__task_id__ml_evals__eval_name__post 2 params body → 200422

Schemas 13

The contract defines 13 schemas that model the data the API accepts and returns. The most detailed are LLMBaseConfigSettings (14 properties), Eval (11 properties), ValidationError (5 properties), PIIEvalConfig (3 properties). Each schema is shown below with its type and property counts.

LogitBiasItem
object
2 properties 2 required
HTTPValidationError
object
1 property
ValidationError
object
5 properties 3 required
ModelProvider
string
PIIEvalConfig
object
Configuration for PII detection evals.
3 properties
ToxicityEvalConfig
object
Configuration for toxicity detection evals.
1 property
EvalKind
string
Discriminator for all eval types stored in the llmevals table.
CreateMLEvalRequest
object
2 properties 2 required
LLMBaseConfigSettings
object
14 properties
AnthropicThinkingParam-Output
object
2 properties
ReasoningEffortEnum
string
Eval
object
11 properties 2 required
PromptInjectionEvalConfig
object
Configuration for prompt injection detection evals.

Specification

The full machine-readable OpenAPI contract behind this narrative.

Source

arthurai-ml-evals-api-openapi.yml Raw ↑

Other APIs ArthurAI publishes across the network.

ArthurAI Agent Discovery API
ArthurAI Agentic Experiments API
ArthurAI Agentic Notebooks API
ArthurAI Agents V1 API
ArthurAI Alert Rules V1 API
ArthurAI Alerts V1 API
ArthurAI API Keys API
ArthurAI Authorization V1 API
ArthurAI Chatbot API
ArthurAI Configuration API
ArthurAI Connector Schemas V1 API
ArthurAI Connectors V1 API
Where this information came from

This is an independent, third-party profile of ArthurAI ML Evals API, published by API Evangelist. We do not operate, host, resell, or support these APIs, and we are not affiliated with or endorsed by the company unless stated above. Everything here is built from publicly available information — the company's own site, developer portal, documentation, public repositories, and the specifications it publishes for public use. Nothing is obtained by breaching a system, defeating an access control, or using credentials.

The Kin Score and Agent Readiness rating are independently calculated assessments of a company's public API artifacts, scored against a published rubric. They are not certifications, endorsements, security assessments, or audits.

Corrections, re-scores, and removal are free — no partnership or purchase required, and you do not need to justify the request. A removed company is recorded as unrated, never scored zero for having asked. Acknowledgement within one business day; removal within two.

info@apievangelist.com · Read the full data-sourcing policy →
On a security or compliance team? Put security in the subject line and you will get a person, not a form — we will tell you exactly which public URLs this profile was built from.