LLM API Suitability Analyzer

Public

API Details

The LLM API Suitability Analyzer is a specialized service designed to evaluate API descriptions and assess their compatibility with Large Language Model (LLM) implementations. This API analyzes the given description against a set of predefined criteria to determine if the proposed API is well-suited for execution purely through an LLM's capabilities. It considers factors such as the need for external data sources, statelessness, compliance with usage policies, knowledge cutoff limitations, response time feasibility, data privacy concerns, task clarity, and ethical considerations. The analyzer provides a comprehensive assessment, helping developers and architects make informed decisions about whether a proposed API concept is appropriate for LLM-backed implementation.

Try it out Developer Docs

Request Schema

Property	Type	Required	Description
api_description	string	required	A detailed description of the API to be analyzed for LLM suitability.

Response Schema

Property	Type	Required	Description
assessment	object	required	-
statelessness	boolean	optional	Whether each API call is independent and maintains no state across sessions.
ethically_sound	boolean	optional	Whether the API aligns with ethical guidelines and legal standards.
data_privacy_compliant	boolean	optional	Whether the API avoids processing sensitive personal or confidential information.
feasible_response_time	boolean	optional	Whether the API can provide responses within acceptable timeframes.
llm_only_functionality	boolean	optional	Whether the API's functionality can be achieved solely through LLM capabilities.
no_external_data_access	boolean	optional	Whether the API requires no access to external data sources.
within_knowledge_cutoff	boolean	optional	Whether the API's requirements fall within the LLM's knowledge cutoff date.
clear_and_specific_tasks	boolean	optional	Whether the API's intended functionality is clear and well-defined.
compliance_with_policies	boolean	optional	Whether the API adheres to acceptable use policies and ethical guidelines.
self_contained_processing	boolean	optional	Whether the API's operations are fully self-contained within LLM reasoning abilities.
is_suitable	boolean	required	Indicates whether the API is suitable for LLM-backed implementation.
overall_score	number	required	A numerical score (0-100) indicating the overall suitability of the API for LLM implementation.
recommendations	string[]	required	Suggestions for improving the API's suitability for LLM implementation, if applicable.

API Metadata

ID650

Version

Method

post

Endpoint

/llm-api-suitability-analyzer/v1

API Examples

Example Request

{
  "api_description": "An API that generates creative writing prompts for aspiring authors. The API should take a genre and optional theme as input, and return a unique, thought-provoking writing prompt that encourages creativity and helps writers overcome writer's block."
}

Example Response

{
  "assessment": {
    "statelessness": true,
    "ethically_sound": true,
    "data_privacy_compliant": true,
    "feasible_response_time": true,
    "llm_only_functionality": true,
    "no_external_data_access": true,
    "within_knowledge_cutoff": true,
    "clear_and_specific_tasks": true,
    "compliance_with_policies": true,
    "self_contained_processing": true
  },
  "is_suitable": true,
  "overall_score": 95,
  "recommendations": [
    "Consider adding an option for specifying the desired length or complexity of the writing prompt.",
    "Implement input validation to ensure the provided genre is recognized and supported."
  ]
}

Docs Edit