Topic: Perplexity API vs product
Perplexity API vs Perplexity Product — What's Stored, What's Stateless, and What You Can Export
Perplexity offers two distinct access modes that look similar from the outside but have fundamentally different data models underneath. The Perplexity API (pplx-api.perplexity.ai) is stateless — each call is independent, nothing is stored, and there is no export path. The Perplexity product (perplexity.ai) stores your Library threads and Spaces with partial GDPR recovery. Confusing the two leads to unrecoverable reasoning once a session ends.
TL;DR
The Perplexity API is stateless by design — send a messages array, get a completion, nothing persists. The Perplexity product (perplexity.ai) stores Library threads server-side, but offers no native export button. Recovery via GDPR request is partial and slow (up to 30 days). Perplexity Spaces (team workspace) have the worst export coverage of any major team AI platform — no batch export exists for threads, instructions, or uploaded files. If research conversations might contain decisions worth preserving, use the product interface rather than the API — and use the at-the-time workarounds below regardless.
The architectural split: API vs product
Perplexity publishes two separate access points that use the same underlying model but differ completely in their storage architecture:
The Perplexity API at pplx-api.perplexity.ai exposes an OpenAI-compatible endpoint (POST /chat/completions) that accepts the same messages array format as the OpenAI and Anthropic APIs. Each request is a stateless transaction: you send the full conversation history in the request body, the server processes it using Perplexity's search-augmented model stack, and returns a completion. The server has no memory of previous requests. There is no thread ID, no session token, and no server-side history. When your application process ends, the conversation is gone unless you saved it yourself.
The Perplexity product at perplexity.ai is a conversational search interface that stores every thread in your account's Library. When you submit a query in the product, Perplexity stores your query, the model's response, and the cited URLs in a server-side thread associated with your account. You can navigate back to that thread days or weeks later, and the content is still there. The threads accumulate in your Library as your search history.
This is the same product-vs-API split as ChatGPT vs the OpenAI API and claude.ai vs the Anthropic API — the same underlying model capabilities, but one side adds a server-side storage layer and the other does not. The storage architecture determines what is recoverable after the fact.
What the Perplexity product stores
The perplexity.ai product stores three categories of data:
- Library threads. Every conversation thread you create in the product UI is stored server-side under your account. Each thread has a title (auto-generated from your first query), the full sequence of your queries and Perplexity's responses, the cited URLs for each response, and a creation timestamp. Threads accumulate indefinitely until you manually delete them. You can see them in the Library sidebar.
- Perplexity Spaces. Pro-tier team workspaces. Each Space has a set of Space Instructions (a system prompt applied to all threads in the Space), uploaded context files (processed for RAG, not downloadable), team members, and threads that can be personal or shared. Spaces data storage and the export (non-)coverage is detailed on the dedicated Perplexity Spaces export page.
- Account metadata. Subscription status, API key usage, query history for billing, account creation date, and settings. This metadata is included in any GDPR data access response alongside whatever conversation content Perplexity includes.
What the Perplexity API does not store
The API stores nothing beyond what is necessary for billing. Specifically:
- No conversation messages (user queries or model responses) — not even transiently after the response is returned
- No conversation thread or session ID — each request is fully independent
- No search results or cited URLs from API responses — only the aggregated token usage for billing purposes
- No application-side context — if you inject a system prompt, it is processed for the current request and not retained
The API usage dashboard shows token counts, request counts, and timestamps — but not the content of any request or response. If you used the Perplexity API for exploratory reasoning and did not save the messages, those conversations are unrecoverable from Perplexity's infrastructure.
Perplexity API vs product: the full comparison
| Feature | Perplexity API (pplx-api.perplexity.ai) | Perplexity Product (perplexity.ai) |
|---|---|---|
| Conversation persistence | None — stateless, in-memory only during request | Server-side Library threads, indefinite retention |
| Conversation history | None — application must manage conversation state | Full thread history in Library sidebar |
| Search / findability | No — nothing is stored to search | Yes — Library search across thread titles |
| Native data export | No — nothing stored to export | No native export button as of 2026 |
| GDPR data portability | No — API is stateless, no data to port | Partial — GDPR request returns account metadata + partial query history; thread content coverage varies |
| Cited URLs in response | Yes — in API response JSON when search is enabled | Yes — displayed in thread UI, partially in GDPR export |
| System prompt | Injected per-request in messages array; not stored | Not exposed (product has no user-configurable system prompt) |
| Team / Spaces support | No — API is single-account | Yes — Perplexity Spaces (Pro tier) |
| Billing | Per-token API billing (Sonar models) | Perplexity Pro subscription ($20/month) |
| Primary use case | Programmatic search augmentation in applications | Interactive research, topic deep-dives, Spaces collaboration |
How Perplexity compares to ChatGPT and Claude for export
Across all three AI chat platforms, the pattern is: API is stateless (nothing stored, nothing to export), product is stateful (stored server-side) with varying export quality. But the product-side export quality varies significantly:
| Platform (product) | Native export button? | Conversation content in export? | GDPR path | Export format |
|---|---|---|---|---|
| ChatGPT | Yes — Settings → Data Controls → Export | Comprehensive — all conversations in conversations.json | Same as native export | ZIP with JSON + HTML |
| Claude (claude.ai) | Yes — Settings → Account → Export Data | Comprehensive — all conversations in conversations.json | Same as native export | ZIP with JSON |
| Perplexity (perplexity.ai) | No native export button | Partial — thread content coverage in GDPR response varies by account | Submit request via privacy settings or email; up to 30-day wait | No standard format documented |
The contrast is stark. ChatGPT and Claude provide one-click, comprehensive conversation exports in structured JSON format — the ChatGPT export path and the Claude export path are both well-documented and reliable. Perplexity's Library threads are stored but not easily exported: the only path is a GDPR request that may or may not include full thread content, with up to a 30-day wait.
For decision capture purposes: important reasoning conversations belong in ChatGPT or Claude, where the export path is reliable. Perplexity is best used for the research phase — web search augmentation, literature gathering, citation compilation — with the decision conversation happening in one of the two platforms with comprehensive export.
The Perplexity API's cited URLs: the one thing worth capturing
The Perplexity API has one unique feature the other AI APIs lack: when search mode is enabled (the default for Sonar models), the API response includes a citations array alongside the completion text. Each citation is a URL of a page that Perplexity retrieved and used to generate the response.
A log that captures both the API messages and the citations array is significantly more valuable for decision reconstruction than a log of messages alone, because the citations are the evidence basis for the claim — the benchmark comparison, the documentation page, the GitHub issue — that the researcher used to reach a conclusion. When extracting decisions from Perplexity API sessions, treat the citations as the Context section material for any ADR that emerges from the research.
# Example API call that preserves citations in the response
curl -X POST https://api.perplexity.ai/chat/completions \
-H "Authorization: Bearer $PERPLEXITY_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "sonar-pro",
"messages": [
{"role": "user", "content": "Compare Postgres and Redshift for a 10M row analytical workload with complex joins and daily batch updates. What are the cost and performance trade-offs?"}
],
"return_citations": true
}' | jq '{
answer: .choices[0].message.content,
citations: .citations
}' > decision_research_$(date +%Y%m%d_%H%M%S).jsonThe jq pipe extracts the answer text and the citations array into a timestamped JSON file. Run this for every API call during a research session, and you have a complete, citable record of the reasoning — even though the Perplexity API stores nothing server-side.
Capture-at-the-time workarounds for Perplexity API sessions
Nothing retroactive is possible once the API call completes. The three approaches that work:
- Log all API calls locally. Wrap your Perplexity API calls in a function that writes the full request messages array + the response completion + the citations array to a timestamped JSONL file before returning. This is the most complete capture and produces a file format that can be processed the same way as a ChatGPT or Claude export.
- Use the product for research that might produce decisions. If you are exploring an architectural question rather than making a programmatic API call, use perplexity.ai directly. The Library thread is stored server-side, and while the GDPR export path is slow and partial, it is better than the API's total absence of storage. At a minimum you can manually copy the thread before navigating away.
- At-session capture for critical reasoning. For any Perplexity API session that produces a conclusion you want to preserve — a benchmark comparison, a license assessment, an architecture trade-off — copy the relevant exchange to a decision log entry immediately. The Perplexity Spaces decision-capture workflow (capture thread URL + question + finding + cited URLs at the end of the session) applies here: the API equivalent is capturing the complete messages array + citations at the end of the session, not later.
Why this matters for decision capture
Perplexity occupies a specific place in the AI workflow of engineers and researchers: it is the research tool, not the deliberation tool. Engineers use Perplexity to gather context — benchmarks, documentation, expert opinions — before moving to ChatGPT or Claude to reason through the decision. The Perplexity session produces the evidence; the ChatGPT or Claude session produces the decision.
That division maps cleanly to the ADR structure: Perplexity's research output becomes the Context section (what situation and constraints exist, what evidence was gathered) while ChatGPT or Claude reasoning becomes the Decision + Consequences sections (what was chosen and why). If you preserve both the Perplexity citations and the ChatGPT/Claude deliberation, you have the full material for a well-evidenced ADR.
For the ChatGPT and Claude sides — where comprehensive exports are available — the WhyChose extractor reads the conversations.json export and surfaces the decisions with their original context, formatted as structured decision records. The citations from Perplexity research that informed those decisions can be added manually to the Context section of the extracted records. The result is a decision log that shows both what was decided and what evidence it was based on.
Related questions
Does the Perplexity API store conversation history?
No. The Perplexity API (pplx-api.perplexity.ai) uses a stateless OpenAI-compatible endpoint — POST /chat/completions with a messages array. Each API call is independent: you send the full conversation context in the messages array, the server returns a response, and nothing is stored after the response is returned. There is no thread ID, no server-side conversation store, and no history to query or export. Any multi-turn conversation exists only in your application's memory — if you do not log it yourself, it is unrecoverable from Perplexity's infrastructure.
Can you export your Perplexity Library conversation history?
There is no direct export button on perplexity.ai as of 2026. The available path is GDPR Article 15: submit a data access request via the Perplexity privacy settings or privacy@perplexity.ai. Perplexity returns a data package within 30 days containing account metadata, billing history, and a partial record of query history. Thread content coverage varies — some accounts receive query text; others report that thread content is not included. This is significantly worse than ChatGPT or Claude, which provide comprehensive conversation exports via a single button in settings. For Perplexity Spaces, no batch export of any kind (threads, instructions, files) exists.
Is there a way to capture Perplexity API sessions for later review?
Only at the time of the session — nothing retroactive is possible once the API call completes. The most reliable approach: wrap your API calls in a function that writes the full request messages array + the response completion + the citations array to a timestamped JSONL file before returning. Include the model used and a timestamp. The citations array (available when return_citations: true) is the unique Perplexity value-add — it shows which pages Perplexity retrieved to generate the response, which are the evidence basis for any decisions that emerge from the research. For interactive research rather than programmatic calls, use the perplexity.ai product where the Library thread is at least stored server-side.
How does the Perplexity API differ from ChatGPT and Claude APIs in terms of conversation storage?
All three APIs are stateless at the call level — send a messages array, receive a completion, nothing persists on the provider's server. The difference is in the product companion: ChatGPT stores all conversations and provides a comprehensive data export (conversations.json). Claude.ai stores all conversations and provides an export (conversations.json, simpler format). Perplexity.ai stores Library threads but has no native export button — only a partial GDPR path with up to 30-day wait and inconsistent content coverage. For decision capture, use ChatGPT or Claude for deliberation conversations; use Perplexity for research (and capture the citations array from each API call).
Further reading
- Perplexity conversation export — how to save your AI research history (2026) — the complete guide to the Perplexity product-side export options: the GDPR request path step-by-step, what the data package contains, how long it takes, what thread content coverage to expect, and the manual copy-at-session workarounds for when you need the content now rather than in 30 days.
- Perplexity Spaces export — what team workspace data is recoverable (2026) — the team workspace layer on top of individual Library threads. Spaces Instructions, uploaded context files, team members, and shared threads — what each one stores and what is and is not exportable. Perplexity Spaces has the worst export coverage of any major team AI workspace: nothing is batch-exportable across any dimension.
- Can you export OpenAI Playground conversations? No — and here's why — the symmetric OpenAI-side reference: the OpenAI Playground Chat mode is stateless by design (same POST /v1/chat/completions endpoint), with no history and no export. The exception is the Assistants API (Playground Assistants tab) which does create persistent Threads. The capture-at-the-time workarounds (Presets, DevTools Network tab, local proxy) are documented there alongside the full ChatGPT vs Playground comparison table.
- Can you export Claude API conversations? No — and here's why — the symmetric Anthropic-side reference: the Claude Messages API (POST /v1/messages) is also stateless. Contrast with claude.ai which stores all conversations and provides a comprehensive export. The capture-at-the-time workarounds, the local logging proxy pattern, and the decision-capture implication (use claude.ai for interactive decision-making, not the API) are the same pattern as this page applied to the Anthropic infrastructure.
- How to export your ChatGPT history (2026 guide) — the comprehensive ChatGPT export path: Settings → Data Controls → Export → ZIP with conversations.json. What is in the file, what is not (Playground sessions, file binaries, DALL-E images after expiry), and how to process the JSON. The reference for the platform with the most reliable export coverage — relevant context for understanding why Perplexity's export gap is unusually large by comparison.
- How to export your Claude conversations — the Claude product-side export path: Settings → Account → Export Data. Simpler format than ChatGPT (flat array of chat_messages, no mapping DAG). Comprehensive content coverage including Claude Projects. The reference for the Anthropic product-side export, symmetric with ChatGPT and contrasting with Perplexity's partial GDPR-only path.
- The open-source extractor — reads ChatGPT and Claude conversations.json exports and surfaces the decisions inside as structured records. The Perplexity research output (cited URLs, query history from GDPR export) can supplement the Context sections of extracted records from ChatGPT/Claude deliberation sessions, producing decision logs with both the reasoning and the evidence basis.
- Gemini Deep Research export — reports, citations, and what appears in Google Takeout — the third-platform completion for the API-vs-product statelessness cluster: Gemini Advanced's Deep Research feature produces citation-rich research reports that appear in the personal Google Takeout export as long model messages. Contrast with Perplexity: Gemini's export path is significantly more reliable (full report text in Takeout) while Perplexity's GDPR-only path returns only partial thread content. The decision-capture workflow section explains how Deep Research reports become ADR Context sections.