Products
Perplexity, product by product →Perplexity ships more than one product — each judged line competes in its own arena on the same stories as everyone else.
| Line | Arena | Rank | PA Score | Agent-ready |
|---|---|---|---|---|
| Perplexitythis page | AI Assistants | #4/9 | 25/100 | 49/100 |
| Sonar API | AI Search APIs | #2/5 | 33/100 | 56/100 |
Not yet judged (1 — no arena where they compete): Comet
Verified integrations
Connections to other tracked products — hover a chip for the verbatim evidence quote behind it.
By theme — the product's score on each story themeBy theme
Agenticness — how well agents can access and operate the productAgenticnessevidence →
How well agents can access and operate the product
Agents tasks — stories about agents tasks in this arenaAgents tasksevidence →
Stories about agents tasks in this arena
Apps devices — stories about apps devices in this arenaApps devicesevidence →
Stories about apps devices in this arena
Automation depth — how much of the product can run unattendedAutomation depthevidence →
How much of the product can run unattended
Connectors apps — stories about connectors apps in this arenaConnectors appsevidence →
Stories about connectors apps in this arena
Files analysis — stories about files analysis in this arenaFiles analysisevidence →
Stories about files analysis in this arena
Memory context — stories about memory context in this arenaMemory contextevidence →
Stories about memory context in this arena
Multimodal — stories about multimodal in this arenaMultimodalevidence →
Stories about multimodal in this arena
Openness — open source, data portability, and self-hosting storiesOpennessevidence →
Open source, data portability, and self-hosting stories
Privacy posture — data-handling and privacy storiesPrivacy postureevidence →
Data-handling and privacy stories
Research answers — stories about research answers in this arenaResearch answersevidence →
Stories about research answers in this arena
Trust controls — stories about trust controls in this arenaTrust controlsevidence →
Stories about trust controls in this arena
Story verdicts — every judged story with its evidenceStory verdicts
What’s free: 2 free · 0 paid · 0 enterprise · 13 not stated in evidence
Follow the green: where the map greys out is where Perplexity stops today. ✓ full · ~ partial · ! disputed · — none · n/a not applicable.
Agenticness — how well agents can access and operate the productAgenticness
How well agents can access and operate the product
API surface
Drive the product through a documented public API
✓9/10
unlocks → Webhooks · Scoped API keys · Versioning policy · API sandbox · Full data export · Delegate a multi-step task that the assistant works on autonomously in the background and returns for my review · Have the assistant operate a web browser on my behalf to research and complete tasks on websites · Let the assistant see and operate applications on my computer to complete work · Schedule recurring or one-off tasks that run automatically and come back to me with results
Subscribe to events via webhooks
—–
Build against official SDKs
~4/10
Issue scoped/least-privilege API credentials for an agent
—–
Connect an agent via an official MCP server
✓8/10
Download a machine-readable API spec (OpenAPI or equivalent)
✓9/10
Rely on versioned APIs with a documented deprecation policy
—0/10
Test against a sandbox environment without touching production data
—0/10
Explore an interactive API reference with runnable examples
~4/10
Agentic features
Delegate tasks to a built-in AI assistant inside the product
!5/10
Operate the product with natural-language commands
!6/10
Plug MCP servers into this product so it can use their tools
—0/10
Get AI-generated insights and suggestions from my data inside the product
~4/10
Set up automations that run autonomously in the background
—0/10
Agents tasks — stories about agents tasks in this arenaAgents tasks
Stories about agents tasks in this arena
Apps devices — stories about apps devices in this arenaApps devices
Stories about apps devices in this arena
Automation depth — how much of the product can run unattendedAutomation depth
How much of the product can run unattended
Connectors apps — stories about connectors apps in this arenaConnectors apps
Stories about connectors apps in this arena
Files analysis — stories about files analysis in this arenaFiles analysis
Stories about files analysis in this arena
Have the assistant write and run code on my data to produce charts, computed answers, and downloadable files
!4/10
Have the assistant create and iteratively edit documents, presentations, and other files I can export
~3/10
Upload documents, spreadsheets, and PDFs and get accurate analysis of their contents
—–
Memory context — stories about memory context in this arenaMemory context
Stories about memory context in this arena
Multimodal — stories about multimodal in this arenaMultimodal
Stories about multimodal in this arena
Openness — open source, data portability, and self-hosting storiesOpenness
Open source, data portability, and self-hosting stories
Privacy posture — data-handling and privacy storiesPrivacy posture
Data-handling and privacy stories
Research answers — stories about research answers in this arenaResearch answers
Stories about research answers in this arena
Trust controls — stories about trust controls in this arenaTrust controls
Stories about trust controls in this arena
Sorted by importance (agentic first) (high → low) · 52/52 stories · click a row’s chevron for the rationale and evidence
Drive the product through a documented public API G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 3 | full | 9/10 | Tprobed | |
Connect an agent via an official MCP server G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 3 | full | 8/10 | Tprobed | |
Delegate tasks to a built-in AI assistant inside the product G Agentic features | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 3 | disputed | 5/10 | Dcontradicted | |
Plug MCP servers into this product so it can use their tools G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 3 | none | 0/10 | ||
Download a machine-readable API spec (OpenAPI or equivalent) G Api quality | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | full | 9/10 | Tprobed | |
Point an agent at llms.txt or agent-oriented docs G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | full | 9/10 | Tprobed | |
Use an official CLI G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | full | 8/10 | Tprobed | |
Run the product headlessly / in CI for automation G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | full | 7/10 | Tprobed | |
Operate the product with natural-language commands G Agentic features | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | disputed | 6/10 | Dcontradicted | |
Build against official SDKs G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | partial | 4/10 | Tprobed | |
Explore an interactive API reference with runnable examples G Api quality | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | partial | 4/10 | Tprobed | |
Get AI-generated insights and suggestions from my data inside the product G Agentic features | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | partial | 4/10 | Xcommunity | |
Rely on versioned APIs with a documented deprecation policy G Api quality | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | none | 0/10 | ||
Set up automations that run autonomously in the background G Agentic features | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | none | 0/10 | ||
Issue scoped/least-privilege API credentials for an agent G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | none | untested | none yet | |
Subscribe to events via webhooks G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | none | untested | none yet | |
Test against a sandbox environment without touching production data G Api quality | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 1 | none | 0/10 | ||
Connect my cloud drive, email, and calendar so the assistant can search and use them in answers C Connectors | knowledge-worker | Connectors apps — stories about connectors apps in this arenaConnectors apps | 3 | partial | 5/10 | Xcommunity | |
Delegate a multi-step task that the assistant works on autonomously in the background and returns for my review C Agent mode | power-user | Agents tasks — stories about agents tasks in this arenaAgents tasks | 3 | disputed | 5/10 | Dcontradicted | |
Have the assistant operate a web browser on my behalf to research and complete tasks on websites C Agent mode | power-user | Agents tasks — stories about agents tasks in this arenaAgents tasks | 3 | disputed | 5/10 | Dcontradicted | |
Launch a deep research run that autonomously searches many sources and returns a cited report C Research | knowledge-worker | Research answers — stories about research answers in this arenaResearch answers | 3 | disputed | 5/10 | Dcontradicted | |
Have the assistant write and run code on my data to produce charts, computed answers, and downloadable files C Analysis | power-user | Files analysis — stories about files analysis in this arenaFiles analysis | 3 | disputed | 4/10 | Dcontradicted | |
Have the assistant remember relevant context from previous chats and apply it in new conversations C Memory | power-user | Memory context — stories about memory context in this arenaMemory context | 3 | none | 0/10 | ||
Control whether my conversations are used to train models C Data controls | knowledge-worker | Trust controls — stories about trust controls in this arenaTrust controls | 3 | none | untested | none yet | |
Define rules that trigger actions automatically on events G | ai-native user | Automation depth — how much of the product can run unattendedAutomation depth | 3 | none | untested | none yet | |
Export all of my data in open formats and leave G | ai-native user | Openness — open source, data portability, and self-hosting storiesOpenness | 3 | none | untested | none yet | |
Prevent my data from being used to train AI models G | ai-native user | Privacy posture — data-handling and privacy storiesPrivacy posture | 3 | none | untested | none yet | |
Self-host the core product G | ai-native user | Openness — open source, data portability, and self-hosting storiesOpenness | 3 | none | untested | none yet | |
Upload documents, spreadsheets, and PDFs and get accurate analysis of their contents C Files | knowledge-worker | Files analysis — stories about files analysis in this arenaFiles analysis | 3 | none | untested | none yet | |
Use full-featured official mobile apps for iOS and Android C Apps | knowledge-worker | Apps devices — stories about apps devices in this arenaApps devices | 2 | fullfree | 8/10 | Cclaimed | |
Do everything through the API that I can do in the UI G | ai-native user | Openness — open source, data portability, and self-hosting storiesOpenness | 2 | partial | 5/10 | Cclaimed | |
Get answers grounded in current web results with citations back to the sources C Research | knowledge-worker | Research answers — stories about research answers in this arenaResearch answers | 2 | disputedfree | 5/10 | Dcontradicted | |
Browse a directory of third-party apps and connectors and add them to the assistant C Connectors | power-user | Connectors apps — stories about connectors apps in this arenaConnectors apps | 2 | partial | 4/10 | Cclaimed | |
Have a natural, real-time voice conversation with the assistant C Voice | knowledge-worker | Multimodal — stories about multimodal in this arenaMultimodal | 2 | partial | 4/10 | Cclaimed | |
Let the assistant see and operate applications on my computer to complete work C Agent mode | power-user | Agents tasks — stories about agents tasks in this arenaAgents tasks | 2 | disputed | 4/10 | Dcontradicted | |
Have the assistant create and iteratively edit documents, presentations, and other files I can export G Artifacts | knowledge-worker | Files analysis — stories about files analysis in this arenaFiles analysis | 2 | partial | 3/10 | Cclaimed | |
Perform bulk operations across many items at once G | ai-native user | Automation depth — how much of the product can run unattendedAutomation depth | 2 | none | 0/10 | ||
Schedule recurring or one-off tasks that run automatically and come back to me with results C Tasks | power-user | Agents tasks — stories about agents tasks in this arenaAgents tasks | 2 | none | 0/10 | ||
Use an official desktop app with OS-level shortcuts and access to what is on my screen C Apps | power-user | Apps devices — stories about apps devices in this arenaApps devices | 2 | none | 0/10 | ||
Build and share custom assistants with their own instructions and knowledge C Custom bots | power-user | Apps devices — stories about apps devices in this arenaApps devices | 2 | none | untested | none yet | |
Choose where my data is stored (region/residency) G | ai-native user | Privacy posture — data-handling and privacy storiesPrivacy posture | 2 | none | untested | none yet | |
Control data retention and deletion G | ai-native user | Privacy posture — data-handling and privacy storiesPrivacy posture | 2 | none | untested | none yet | |
Generate and edit images from natural-language prompts C Images | knowledge-worker | Multimodal — stories about multimodal in this arenaMultimodal | 2 | none | untested | none yet | |
Manage members, permissions, and data policies for my organization's workspace C Admin | team-admin | Trust controls — stories about trust controls in this arenaTrust controls | 2 | none | untested | none yet | |
Opt out of telemetry and usage tracking G | ai-native user | Privacy posture — data-handling and privacy storiesPrivacy posture | 2 | none | untested | none yet | |
Organize related chats and files into a project or space that shares context and instructions C Projects | knowledge-worker | Memory context — stories about memory context in this arenaMemory context | 2 | none | untested | none yet | |
Read the product's source under an open license G | ai-native user | Openness — open source, data portability, and self-hosting storiesOpenness | 2 | none | untested | none yet | |
Schedule recurring jobs or workflows G | ai-native user | Automation depth — how much of the product can run unattendedAutomation depth | 2 | none | untested | none yet | |
Share screenshots and photos and have the assistant accurately interpret what is in them C Images | knowledge-worker | Multimodal — stories about multimodal in this arenaMultimodal | 2 | none | untested | none yet | |
Set persistent custom instructions and preferences that shape every response C Memory | power-user | Memory context — stories about memory context in this arenaMemory context | 1 | partial | 3/10 | Cclaimed | |
Version, review, and roll back my automations G | ai-native user | Automation depth — how much of the product can run unattendedAutomation depth | 1 | partial | 3/10 | Cclaimed | |
Export my complete chat history and account data G Data controls | knowledge-worker | Trust controls — stories about trust controls in this arenaTrust controls | 1 | none | untested | none yet |
Opportunities — the stories that would move this product's scores, from its own judged verdictsOpportunitiestop 8 of 37 stories with headroom
What would move Perplexity’s scores — derived from its own judged verdicts, biggest headroom first. Each line quotes what the judge found missing; shipping it (or evidencing it publicly) is the fix.
Agenticness — how well agents can access and operate the productPlug MCP servers into this product so it can use their tools
nonemoves agent-readyimpact 45
All MCP evidence describes Perplexity acting as an MCP *server* (Computer MCP server, Perplexity MCP Server) that other AI assistants can connect to, not Perplexity itself consuming external MCP servers as a client to gain new tools.
Automation depth — how much of the product can run unattendedDefine rules that trigger actions automatically on events
nonemoves PA Scoreimpact 30
No evidence of a rules/trigger/automation engine (event-based conditions triggering actions) anywhere in the docs — Perplexity's evidence covers search, chat, APIs, MCP/Computer agent tasks, and CLI, but nothing about defining persistent rules that fire automatically on events.
Files analysis — stories about files analysis in this arenaUpload documents, spreadsheets, and PDFs and get accurate analysis of their contents
nonemoves PA Scoreimpact 30
Missing: any documentation of file/PDF/spreadsheet upload, parsing, or analysis capability, and any user or hands-on evidence of accurate document Q&A.
Memory context — stories about memory context in this arenaHave the assistant remember relevant context from previous chats and apply it in new conversations
nonemoves PA Scoreimpact 30
Missing: any explicit cross-session memory feature, opt-in/opt-out memory controls, or evidence of persisted user facts being reused in new threads.
Openness — open source, data portability, and self-hosting storiesExport all of my data in open formats and leave
nonemoves PA Scoreimpact 30
Missing: any documented data export tool, format spec (JSON/CSV/etc.), or account-deletion-with-export flow.
Openness — open source, data portability, and self-hosting storiesSelf-host the core product
nonemoves PA Scoreimpact 30
Perplexity is offered exclusively as a hosted SaaS (web app, mobile apps, browser extension, cloud API/CLI/MCP) with no evidence of any self-hostable core product, open-source release, or on-prem deployment option.
Privacy posture — data-handling and privacy storiesPrevent my data from being used to train AI models
nonemoves PA Scoreimpact 30
Missing: any documentation of a training opt-out toggle, privacy settings page, or data-use policy addressing model training.
Trust controls — stories about trust controls in this arenaControl whether my conversations are used to train models
nonemoves PA Scoreimpact 30
No evidence in the pack addresses privacy settings, opt-out of training, or data-usage controls for conversations; all citations concern product features (search, MCP, CLI, apps) or unrelated crawler/quality controversies.
Showing the top 8 of 37 — every none/partial verdict in the story verdicts table is headroom.
Think a verdict is wrong? Every verdicts-table row has a Flag link — see the methodology.
Coverage map — which docs area, API section, or community source covers which judged storiesCoverage map7 surfaces · 25 covered stories
Where the cited evidence behind each covered verdict came from — the same citations the verdicts table shows, no extra judging.
docs21 stories
- Point an agent at llms.txt or agent-oriented docs
- Run the product headlessly / in CI for automation
- Connect an agent via an official MCP server
- Use an official CLI
- Drive the product through a documented public API
- Build against official SDKs
- Delegate tasks to a built-in AI assistant inside the product
- Operate the product with natural-language commands
- Explore an interactive API reference with runnable examples
- Download a machine-readable API spec (OpenAPI or equivalent)
- Delegate a multi-step task that the assistant works on autonomously in the background and returns for my review
- Have the assistant operate a web browser on my behalf to research and complete tasks on websites
- Let the assistant see and operate applications on my computer to complete work
- Version, review, and roll back my automations
- Browse a directory of third-party apps and connectors and add them to the assistant
- Connect my cloud drive, email, and calendar so the assistant can search and use them in answers
- Have the assistant write and run code on my data to produce charts, computed answers, and downloadable files
- Set persistent custom instructions and preferences that shape every response
- Do everything through the API that I can do in the UI
- Launch a deep research run that autonomously searches many sources and returns a cited report
- Get answers grounded in current web results with citations back to the sources
Us docs13 stories
- Get AI-generated insights and suggestions from my data inside the product
- Delegate tasks to a built-in AI assistant inside the product
- Operate the product with natural-language commands
- Delegate a multi-step task that the assistant works on autonomously in the background and returns for my review
- Use full-featured official mobile apps for iOS and Android
- Connect my cloud drive, email, and calendar so the assistant can search and use them in answers
- Have the assistant write and run code on my data to produce charts, computed answers, and downloadable files
- Have the assistant create and iteratively edit documents, presentations, and other files I can export
- Set persistent custom instructions and preferences that shape every response
- Have a natural, real-time voice conversation with the assistant
- Do everything through the API that I can do in the UI
- Launch a deep research run that autonomously searches many sources and returns a cited report
- Get answers grounded in current web results with citations back to the sources
Hacker News10 stories
- Get AI-generated insights and suggestions from my data inside the product
- Delegate tasks to a built-in AI assistant inside the product
- Operate the product with natural-language commands
- Delegate a multi-step task that the assistant works on autonomously in the background and returns for my review
- Have the assistant operate a web browser on my behalf to research and complete tasks on websites
- Let the assistant see and operate applications on my computer to complete work
- Connect my cloud drive, email, and calendar so the assistant can search and use them in answers
- Have the assistant write and run code on my data to produce charts, computed answers, and downloadable files
- Launch a deep research run that autonomously searches many sources and returns a cited report
- Get answers grounded in current web results with citations back to the sources
OpenAPI spec6 stories
llms.txt4 stories
Detail docs2 stories
Claims vs evidence — vendor claims reconciled against independent verdictsClaims vs evidence
3 of 12 testable claims verified · 5 contradicted → integrity 0/100
22 distinct capability claims found in Perplexity’s own claimed-docs/GitHub materials, reconciled against our judge’s independent verdicts.
3
Verified
4
Unverified
5
Contradicted
10
Undersold
Verified (5)
“Provides one OpenAI-compatible API endpoint for unified access to Perplexity's hosted open-weight models”
Drive the product through a documented public APIfullproof ↗
“API also gives access to third-party models (OpenAI, Anthropic, Google, xAI) with web search tools and presets”
Drive the product through a documented public APIfullproof ↗
“Search API returns raw, ranked web search results with advanced filtering and real-time data”
Drive the product through a documented public APIfullproof ↗
“MCP clients can delegate complex multi-step tasks to Computer and get structured results back”
“Official pplx CLI returns structured JSON search results usable in shell pipelines and by coding agents”
Unverified (4)
“Perplexity Labs helps users build reports and projects”
Have the assistant create and iteratively edit documents, presentations, and other files I can exportpartialproof ↗
“Voice mode gives instant answers whether the user types or speaks”
Have a natural, real-time voice conversation with the assistantpartialproof ↗
“Connects to 400+ third-party services via a managed connector framework with one-click OAuth”
Browse a directory of third-party apps and connectors and add them to the assistantpartialproof ↗
“Free mobile app syncs across devices and provides access to top AI models (OpenAI, Anthropic, Meta, etc.)”
Use full-featured official mobile apps for iOS and Androidfullproof ↗
Contradicted (7)
“API returns web-grounded answers with built-in citations in a single call”
Get answers grounded in current web results with citations back to the sourcesdisputedproof ↗
“Pro Search and Deep Research modes provide guided AI search for deeper exploration with cited reports”
Launch a deep research run that autonomously searches many sources and returns a cited reportdisputedproof ↗
“Built-in Assistant can draft emails, schedule appointments, and book reservations”
Delegate tasks to a built-in AI assistant inside the productdisputedproof ↗
“Every answer includes cited sources”
Get answers grounded in current web results with citations back to the sourcesdisputedproof ↗
“Computer agent can search and browse the web in real time, including login-gated pages”
Have the assistant operate a web browser on my behalf to research and complete tasks on websitesdisputedproof ↗
“Computer agent can write and execute code in an interactive Linux sandbox with Python, Node, and Unix tools”
Have the assistant write and run code on my data to produce charts, computed answers, and downloadable filesdisputedproof ↗
“Computer includes a full cloud browser to complete tasks beyond search, such as filling forms on login-gated sites”
Have the assistant operate a web browser on my behalf to research and complete tasks on websitesdisputedproof ↗
Undersold (10)
Point an agent at llms.txt or agent-oriented docsfullproof ↗
Run the product headlessly / in CI for automationfullproof ↗
Get AI-generated insights and suggestions from my data inside the productpartialproof ↗
Explore an interactive API reference with runnable examplespartialproof ↗
Download a machine-readable API spec (OpenAPI or equivalent)fullproof ↗
Connect my cloud drive, email, and calendar so the assistant can search and use them in answerspartialproof ↗
Set persistent custom instructions and preferences that shape every responsepartialproof ↗
Do everything through the API that I can do in the UIpartialproof ↗
Claims outside our story set (6)
Real capability claims found in Perplexity’s own materials, but no story in this arena’s taxonomy covers them yet — that’s feedback on the taxonomy, not a mark against the product.
“Generates embeddings for semantic search and RAG pipelines”
source ↗“Can extract just the query-relevant passages of a page instead of returning the whole page”
source ↗“Library feature curates and stores a user's past discoveries and searches”
source ↗“Instant page summaries make sense of any article or webpage at a glance”
source ↗“Quick Queries let users ask questions directly from the browser toolbar without switching tabs”
source ↗“Provides contextual answers relevant to the specific page or domain currently being viewed”
source ↗
Business model
Free tier with limited Pro searches; Pro and Max subscriptions unlock more advanced models, deep research, and Comet; Enterprise Pro is per-seat.
pricing ↗Score trend
How this product’s scores have moved as evidence and verdicts are re-derived — a point per change, not per day.
Flag
⚑ Flag a verdictThink a verdict is wrong? Opens a prefilled GitHub issue — or use the ⚑ next to any verdict above.
For agents
Agent surface uptime llms.txt 100% · openapi.json 100% (30d, checked every 6h since Sep 8 '26)
