SourceScore

Verified claim · AI-ML · 95% confidence

Tavily founded in: 2023 — search API for AI agents.

Last verified 2026-05-16 · Methodology veritas-v0.1 · 981a3d33fc084f10

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
Tavily
Predicate
founded_in
Object
2023 — search API for AI agents
Confidence
95%
Tags
tavily · search-api · agent-tools · company · founded · 2023

Sources (2)

  1. [1] official blog · Tavily · 2023-01-01

    Tavily — search engine for AI agents
    Tavily Search API is a search engine built specifically for AI agents (LLMs), delivering real-time, accurate, and factual results at speed.
  2. [2] docs · Tavily · 2023-01-01

    Tavily documentation

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Ready-to-paste citation (Markdown / plain text):

Tavily founded in: 2023 — search API for AI agents. — SourceScore Claim 981a3d33fc084f10 (verified 2026-05-16). https://sourcescore.org/api/v1/claims/981a3d33fc084f10.json

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<iframe src="https://sourcescore.org/embed/claim/981a3d33fc084f10/" width="100%" height="360" frameborder="0" loading="lazy" title="Tavily founded in: 2023 — search API for AI agents."></iframe>

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Frequently asked questions

Is the claim "Tavily founded in: 2023 — search API for AI agents." verified?

Yes — SourceScore verified this claim with 95% 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 "Tavily founded in: 2023 — search API for AI agents."?

Evidence comes from 2 primary sources: Tavily, Tavily. Each source is listed below with verbatim excerpts and URLs. The signed JSON envelope at https://sourcescore.org/api/v1/claims/981a3d33fc084f10.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/981a3d33fc084f10.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.

Use this claim in your code

Fetch this signed envelope from your application. The response includes the verbatim excerpt, primary source URLs, and an HMAC-SHA256 signature you can verify locally for audit trails.

cURL

curl https://sourcescore.org/api/v1/claims/981a3d33fc084f10.json

JavaScript / TypeScript

const r = await fetch("https://sourcescore.org/api/v1/claims/981a3d33fc084f10.json"); const envelope = await r.json(); console.log(envelope.claim.statement); // "Tavily founded in: 2023 — search API for AI agents."

Python

import httpx r = httpx.get("https://sourcescore.org/api/v1/claims/981a3d33fc084f10.json") envelope = r.json() print(envelope["claim"]["statement"]) # "Tavily founded in: 2023 — search API for AI agents."

LangChain (retrieve-then-cite)

from langchain_core.tools import tool import httpx @tool def get_tavily_fact() -> dict: """Fetch the verified SourceScore claim for Tavily.""" r = httpx.get("https://sourcescore.org/api/v1/claims/981a3d33fc084f10.json") return r.json()
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