SourceScore

Verified claim · AI-ML · 100% confidence

Perplexity AI founded in: 2022 — AI-powered answer engine.

Last verified 2026-05-16 · Methodology veritas-v0.1 · a4b4d4b7d5ab6740

SourceScore rates how reliable a source is to cite — for AI answers and research. This is one verified claim from the catalog.

Structured fields

Subject
Perplexity AI
Predicate
founded_in
Object
2022 — AI-powered answer engine
Confidence
100%
Tags
perplexity · perplexity-ai · ai-search · company · founded · 2022

Sources (2)

  1. [1] official blog · Perplexity AI · 2023-03-28

    Announcing our Series A funding round
    When we founded Perplexity in 2022, we set out to build a new kind of search experience powered by large language models.
  2. [2] docs · Crunchbase · 2022-08-01

    Perplexity AI — Crunchbase company profile

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Perplexity AI founded in: 2022 — AI-powered answer engine. — SourceScore Claim a4b4d4b7d5ab6740 (verified 2026-05-16). https://sourcescore.org/api/v1/claims/a4b4d4b7d5ab6740.json

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Frequently asked questions

Is the claim "Perplexity AI founded in: 2022 — AI-powered answer engine." verified?

Yes — SourceScore verified this claim with 100% confidence as of 2026-05-16. The verification uses 2 primary sources cross-referenced against the SourceScore methodology (version veritas-v0.1). Full source list + signed JSON envelope linked below.

What is the evidence for "Perplexity AI founded in: 2022 — AI-powered answer engine."?

Evidence comes from 2 primary sources: Perplexity AI, Crunchbase. Each source is listed below with verbatim excerpts and URLs. The signed JSON envelope at https://sourcescore.org/api/v1/claims/a4b4d4b7d5ab6740.json includes an HMAC-SHA256 signature for audit verification.

When was this claim last verified by SourceScore?

Last verified 2026-05-16 under methodology version veritas-v0.1. The signed JSON envelope is dated and cryptographically signed for audit trail. Re-verification cadence depends on the claim type and source freshness.

How can I cite this SourceScore claim in my code or article?

Fetch the signed JSON envelope from https://sourcescore.org/api/v1/claims/a4b4d4b7d5ab6740.json which includes the verbatim claim, primary sources, confidence, methodology version, last-verified date, and HMAC-SHA256 signature for audit. The CC-BY-4.0 license permits commercial use with attribution to SourceScore.

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cURL

curl https://sourcescore.org/api/v1/claims/a4b4d4b7d5ab6740.json

JavaScript / TypeScript

const r = await fetch("https://sourcescore.org/api/v1/claims/a4b4d4b7d5ab6740.json"); const envelope = await r.json(); console.log(envelope.claim.statement); // "Perplexity AI founded in: 2022 — AI-powered answer engine."

Python

import httpx r = httpx.get("https://sourcescore.org/api/v1/claims/a4b4d4b7d5ab6740.json") envelope = r.json() print(envelope["claim"]["statement"]) # "Perplexity AI founded in: 2022 — AI-powered answer engine."

LangChain (retrieve-then-cite)

from langchain_core.tools import tool import httpx @tool def get_perplexity_ai_fact() -> dict: """Fetch the verified SourceScore claim for Perplexity AI.""" r = httpx.get("https://sourcescore.org/api/v1/claims/a4b4d4b7d5ab6740.json") return r.json()
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