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What is Parallel Decisions API?

The Parallel Decisions API serves as a web-based classification solution tailored for developers engaged in software creation, data process improvement, and workflow development for AI agents. When a user submits a request, it comprises a specific context accompanied by one or more questions, and the API responds with structured answers that include probabilities and citations from pertinent online sources. This feature enables the grouping of several questions under a single context in one request, which supports various use cases like vendor evaluations, lead management, compliance assessments, content moderation, and the formulation of operational guidelines for agents. By harnessing real-time web data, it can assess facts that may have changed since a model's last training session. Developers can interact with the API through a RESTful endpoint using an API key or by employing the web_decisions tool via Parallel's MCP server. To aid testing and integration, a hosted playground along with detailed documentation is provided for user ease. Additionally, this API enhances decision-making for developers by supplying current information that boosts the dependability of their applications, ultimately leading to more accurate outcomes in diverse scenarios. Through this capability, developers are equipped to create more robust and adaptive software solutions.

What is Clef?

Clef is an advanced multimodal decision-making model featuring 27 billion parameters, designed to convert a specified state and a schema of typed inquiries into organized results. This innovative model can process state information in multiple formats, such as text, JSON, images, and video, generating probabilities for each viable option associated with each inquiry. With a substantial context window of 65,536 tokens and the ability to process visual inputs, Clef allows developers to integrate both structured application data and visual content into a cohesive decision-making framework. It supports three unique formats for typed inquiries: noul, which evaluates the probability of a statement being accurate; choice, which facilitates selection from a set of predefined choices while offering probability estimates for each; and score, which measures an input against defined criteria to produce a probability-weighted score. Users can pose between 1 and 64 questions in a single request, with the answers being returned using the same identifiers, significantly improving the model's effectiveness and adaptability. This all-encompassing strategy guarantees that Clef can be utilized across various applications, catering to a wide spectrum of decision-making challenges and opportunities. Furthermore, the versatility of Clef's design makes it an invaluable tool for developers aiming to enhance their analytical capabilities in diverse fields.

Media

Media

Integrations Supported

Claude Code
Model Context Protocol (MCP)
Parallel

Integrations Supported

JSON
Markdown
Python
TypeScript

API Availability

Has API

API Availability

Has API

Pricing Information

$0.001/request
$0.001 per API request; a request can include up to 100 questions.
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars

Company Facts

Organization Name

Parallel

Date Founded

2023

Company Location

United States

Company Website

platform.parallel.ai/play/decisions

Company Facts

Organization Name

Cloudflare

Date Founded

2009

Company Location

United States

Company Website

developers.cloudflare.com/workers-ai/models/clef/

Categories and Features

AI Decision Models

Not specified

Categories and Features

AI Decision Models

Not specified

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