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Description

Perplexity's Decisions API is designed for rapid and structured decision-making that can be directly utilized by software applications. Rather than producing unstructured free-form text, it interprets various inputs such as natural-language text, JSON, or images as a shared context and delivers typed responses accompanied by probabilities. Developers have the flexibility to append multiple named questions to a single input, selecting from three distinct question types. The "noul" type provides yes-or-no evaluations, offering the probability of a "yes" response ranging from 0 to 1. The "choice" type allows developers to specify options and returns the most probable selection, along with the probabilities for each option and a confidence measure. Meanwhile, the "score" type assesses content based on a predetermined rubric, delivering a probability-weighted score, the complete probability distribution, and a confidence level. This API is particularly suited for various applications including classification, routing, rubric-based grading, severity assessments, sentiment analysis, and any decision-making process that can be evaluated against a certain threshold, making it a versatile tool for developers. Additionally, its structured approach enhances the reliability of the decisions made by the software, ensuring that outcomes are both accurate and consistent.

Description

Span-01 is an advanced hyper-parallel reasoning classifier that identifies intricate patterns within extensive production traces in a single forward pass. Instead of producing tokens one after the other, it analyzes natural-language behavior definitions and provides direct probabilities indicating whether a behavior is present, absent, or not observable. The model undergoes initial training for general classification reasoning using Reinforcement Learning with Human Feedback (RLAIF) before it is fine-tuned specifically for behavior detection. This allows Span-01 to utilize previously unseen definitions for new behaviors and various domains, avoiding limitations imposed by a rigid taxonomy. During the inference phase, its hyper-parallel definition branches assess multiple behaviors simultaneously against the same trace context, and the incorporation of hybrid attention facilitates effective reasoning over lengthy and intricate inputs. Span-01 is meticulously crafted for monitoring production environments with a focus on safety, reliability, grounding, agent behavior, and response quality, addressing challenges such as jailbreak and prompt injection detection, as well as privacy and confidentiality concerns. Its innovative approach positions Span-01 as a significant advancement in the field, enabling more efficient and comprehensive analysis of complex behaviors.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

OpenAI Yes 
Python Yes 
TypeScript Yes 
AssemblyAI No 
Cognee No 
Google GenAI SDK No 
JSON Yes 
JavaScript No 
LangChain No 
LinkUp No 
LlamaIndex No 
Mastra AI No 
Mem0 No 
OpenAI Agents API No 
Perplexity Decider Yes 
PostHog No 
Vercel No 

Integrations

OpenAI Yes 
Python Yes 
TypeScript Yes 
AssemblyAI Yes 
Cognee Yes 
Google GenAI SDK Yes 
JSON No 
JavaScript Yes 
LangChain Yes 
LinkUp Yes 
LlamaIndex Yes 
Mastra AI Yes 
Mem0 Yes 
OpenAI Agents API Yes 
Perplexity Decider No 
PostHog Yes 
Vercel Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$199 per month
Free Trial Yes 
Free Version Yes 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Perplexity

Founded

2022

Country

United States

Website

docs.perplexity.ai/docs/decisions/quickstart

Vendor Details

Company Name

Respan

Founded

2023

Country

United States

Website

www.respan.ai/blog/introducing-span-1

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Product Features

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