Perplexity API
67
AI ReadinessAI-Aware (B)67/100
Official vendor OpenAPI document · agent-readyAI/MLLanguage Modelsbearer1 EndpointsREST
For Agents
Generate search-enhanced LLM responses using Perplexity AI models with real-time web search capabilities.
Use for: I need to generate responses with current web information, How do I use Perplexity AI for search-enhanced generation, Generate an answer with real-time search results, Get citations for AI-generated content
Not supported: Provides access to perplexity.ai resources and operations as documented in the OpenAPI specification.
Perplexity AI is a search-enhanced large language model API that combines real-time web search with LLM generation. The API provides a chat completions endpoint compatible with OpenAI's format, allowing developers to build applications that leverage both search and generation capabilities. Perplexity models can search the web for current information and synthesize results into coherent responses, making them ideal for knowledge-intensive tasks that require up-to-date information.
Install Jentic One Beta
Connect the Perplexity API to your agent
Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the Perplexity API, or any other public or private API you need. You set the rules, the agent never sees your credentials, and every call is logged.
Two steps, two machines. Install the instance in a safe environment, then register your agent from wherever it runs.
1
Step 1: Jentic One Host machine
# On the machine that will host your Jentic One instance:
curl -fsSL "https://jentic.com/install.sh?src=apis&api=%2Fapis%2Fperplexity.ai%2Fperplexity" | sh2
Step 2: Agent machine
# On the machine where your agent runs (keep this separate from the instance):
curl -fsSL "https://jentic.com/install.sh?src=apis&api=%2Fapis%2Fperplexity.ai%2Fperplexity" | sh
jentic register # connects your agent to your Jentic One instanceJentic One is in public beta. The setup above keeps your agent separate from the instance, which is what you want before using real credentials: an agent running as the same OS user as Jentic One can read its stored keys directly. Just evaluating? A single local install is fine to start. See the secure deployment guide for the tiers.
Capabilities
What an agent can do with Perplexity API.
Generate chat completions with real-time web search integration
Access multiple Perplexity models including sonar-small, sonar-medium, and sonar-pro
Stream responses for real-time user experiences
Retrieve search citations and sources alongside generated content
Use OpenAI-compatible API format for easy integration
Use Cases
Patterns agents use Perplexity API for, with concrete tasks.
★ Search-Enhanced Q&A
Build question-answering systems that combine LLM reasoning with real-time web search. The chat completions endpoint searches the web for relevant information and generates comprehensive responses with citations. Ideal for customer support, research assistants, and knowledge base systems that need current information.
POST /chat/completions with a user question to generate a search-enhanced response with citations and sources from the web.
Real-Time Research Assistant
Create AI assistants that can research topics using current web information. Perplexity searches across multiple sources, synthesizes findings, and provides citations. Use streaming for progressive response delivery as the model searches and generates.
POST /chat/completions with stream=true to get progressive search results and generation as the model researches the topic.
AI Agent with Search Tools
Integrate Perplexity as a search-enhanced reasoning tool for AI agents built with frameworks like LangChain or custom agent systems. Through Jentic, the agent can discover and invoke the Perplexity API when tasks require current web information, without hardcoding the integration.
Search Jentic for 'perplexity search' to find POST /chat/completions, load its schema, and execute when the agent needs current web information.
Key Endpoints
1 endpoints — perplexity ai is a search-enhanced large language model api that combines real-time web search with llm generation.
METHOD
PATH
DESCRIPTION
POST
/chat/completions
Generate search-enhanced chat completions with citations
POST
/chat/completions
Generate search-enhanced chat completions with citations
Jentic AI Readiness Score
This API is usable in Jentic One now. Its AI-readiness score against Jentic's framework shows where it stands today and where improvements would make it even easier for agents to use.
P
Perplexity API
- AI-Aware (B)67/100
94
Foundational Compliance63
Developer Experience & Jentic Compatibility45
AI-Readiness & Agent Experience94
Agent Usability60
Security100
AI DiscoverabilityPowered by JenticScoring Framework 1.0.0 | Scoring Engine 0.4.0
Show dimension breakdown
94
Foundational Compliance
Base layer of spec validity and structural soundness.
Grade: A+Signals: 4
99%
Lint Results
Aggregated quality score from linter diagnostics, weighted by severity.
100%
Resolution Completeness
Percentage of `$ref` references that resolve successfully.
100%
Specification Validity
Checks whether the API description parses successfully and conforms to its declared specification (e.g., OpenAPI).
75%
Structural Integrity
Structural correctness score based on schema issues using logarithmic dampening.
63
Developer Experience & Jentic Compatibility
Clarity, completeness, and ingestion readiness for developers and tooling.
Grade: B-Signals: 4
0%
Example Density
How richly the API is illustrated with examples.
100%
Example Validity
Percentage of examples that conform to their schemas.
50%
Response Coverage
Percentage of operations with complete response definitions (success, client error, server error).
100%
Tooling Readiness
Health of API ingestion, bundling, and resolution within Jentic pipelines.
45
AI-Readiness & Agent Experience
Semantic breadth, depth, and agent comprehension for AI systems.
Grade: DSignals: 4
31%
Description Coverage
Coverage of descriptions across API elements.
0%
Error Standardization
Coverage of RFC 9457 Problem Details for error responses.
100%
OperationId Quality
Coverage, uniqueness, and casing consistency of operationIds for AI inference.
50%
Summary Coverage
Coverage of summaries across operations/tags/info.
94
Agent Usability
Functional utility, complexity comfort, and AI orchestration readiness.
Grade: A+Signals: 1
94%
Complexity Comfort
Agent comfort level based on API operational and structural complexity.
60
Security
Trust, risk posture, and security compliance.
Grade: B-Signals: 1
60%
Authentication Strength
Average quality of security schemes based on authentication method strength (weakest link for OAuth2).
100
AI Discoverability
Findability, semantic richness, and reasoning readiness.
Grade: A+Signals: 1
100%
Descriptive Richness
Clarity and depth of descriptions across API elements.
Score it yourself
Every API in the directory is allowlisted, so you can re-score it with no key required.
npx @jentic/api-scorecard-cli score <openapi-url>Why Jentic?
What agents get from Jentic-routed access to this vendor.
Setup
Wiring the Perplexity API by hand means setting up its bearer token auth against api.perplexity.ai and handling request formatting and retries for the chat completions endpoint yourself. Through Jentic you install once, import the Perplexity API from the API Directory, store the token once, and your agent calls it.
Permission scoping
The Perplexity API exposes a single POST /chat/completions operation, so the honest control is operations-only: you limit the agent to just the completion call it needs, and no other operation is reachable because none is exposed.
Credential isolation
Your Perplexity token is stored once, encrypted, by your own Jentic One instance and injected at execution time. It never enters the agent's prompt, logs, or context.
Intent-based discovery
Agents search Jentic by intent such as 'answer a question with cited web results', and Jentic returns the matching Perplexity chat completions operation with its input schema so the agent calls the right endpoint without browsing the reference docs.
FAQs
Specific to using Perplexity API through Jentic.
What authentication does the Perplexity API use?
The Perplexity API uses bearer authentication. Through Jentic, credentials are stored encrypted and injected at execution time so they never enter the agent's context.
How many endpoints does the Perplexity API have?
The Perplexity API exposes 1 endpoints across its surface area.
Can I limit what my agent is allowed to do with the Perplexity API?
Yes. Because you run Jentic One yourself, your own rules decide which operations and credentials the agent may use. The Perplexity API exposes a single POST /chat/completions operation, so you can scope the agent to just that search-enhanced completion call and nothing else is reachable, since no other operation is exposed. Your Perplexity bearer token is stored encrypted by your own instance and injected only at execution time, so the agent can invoke the endpoint without ever seeing the credential.
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