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Market/Categories/Developer & AI Platform/NEAR AI

Independent product intelligence · Worldwide · 2026-05-01 → 2026-07-31

NEAR AInear.ai

NEAR AI develops open-source infrastructure and tools for a user-owned AI future, including a Developer Hub and Agent Protocol.

Developer & AI Platformnear.aiTracked since 2026-08-211 discovery source
4.8KBacklinks
632Referring domains
30Domain authority
+22.8%Referring domains · 90 days

Authority & distribution

How strong is NEAR AI’s web footprint?

Backlinks measure accumulated distribution; referring domains show how broadly that authority is spread. Both are observable on the open web, so both are published for every product here.

Backlinks

4.8KCurrent snapshot

Referring domains

632Current snapshot

Authority

30Domain authority · category median 22

90-day move

+22.8%Referring domains, last 90 days
At 30, NEAR AI sits above the 22 median for its category.

Trajectory · Pro

The counts above are the latest of 370 daily observations. The curve through them is on the full profile.

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Traffic & engagement

Where NEAR AI ranks

Measured · Pro

Measured for this product: global rank, country rank and category rank.

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AI referral visibility

Which AI assistants are already sending NEAR AI traffic?

Measured · Pro

Measured for this product: AI referral traffic, which assistants refer it and which pages those referrals land on.

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Product profile

What NEAR AI is selling.

Traffic makes more sense when you can connect it to the actual product promise.

“NEAR AI”

NEAR AI develops open-source infrastructure and tools for a user-owned AI future, including a Developer Hub and Agent Protocol.

Developer & AI PlatformSeen 2026-08-21 → 2026-08-21Coverage tier C

What we have measured

4 of 8 signal groups are available for this product: identity, authority and backlinks, AI referrals, search demand.

Not measured for this domain: traffic and engagement, audience demographics, country distribution, acquisition mix. Those sections are left out of the page rather than filled with estimates.

Canonical website: https://near.ai

Observed across 1 discovery source.

Research questions

What the evidence answers about NEAR AI.

Every answer is tied to a source we collected, and the questions with no evidence behind them are left unanswered rather than guessed.

What does NEAR AI do, and what problem does it solve?

NEAR AI develops open-source infrastructure and tools for a user-owned AI future, focusing on confidential AI infrastructure and an agent framework. It solves the problem of running sensitive workloads securely by executing inference and agents inside hardware-enforced enclaves where requests are confidential and outputs are independently verifiable.

What features or components does NEAR AI offer?

NEAR AI offers several key components: a confidential AI Cloud for deploying private models, the IronClaw AI agent framework for running autonomous agents, and an Agent Marketplace for business workflow agents. These include features like hardware isolation, cryptographic triple lockout, and independent verification via attestation certificates.

What is NEAR AI used for, and in what situations?

NEAR AI is used to run sensitive workloads for enterprises, governments, and AI applications. It is suited for situations requiring private model deployment, confidential inference, and autonomous agent execution for real business workflows like finance, legal, ops, and research.

Who is NEAR AI for?

NEAR AI is for developers and enterprises building AI systems, particularly those who need to handle sensitive workloads. Its confidential infrastructure and agent framework target teams that cannot afford to compromise on security.

4 of 6 research questions are answered for this product. The rest need source evidence we have not collected yet, so they are left unanswered rather than guessed.

Behind the lock

Unlock full NEAR AI intelligence.

  • Backlink trajectoryThe figures above are the latest observation. The daily curve behind them holds 370.
  • AI referral detailHow much traffic assistants send, which 3 of them do it, and the 4 pages they land on.
  • Search structure and ranking depthOrganic against paid, brand against non-brand, and how many keywords rank in the top three against the long tail — which is what decides whether the demand is portable or tied to the name.
  • The rest of the marketPage through every leaderboard 100 rows at a time, put any five products side by side, and query the whole dataset over API / MCP.

Worldwide estimates · Data period 2026-05-01 → 2026-07-31. Figures are measured estimates intended for market research. Signals we have not measured for this domain are omitted, never estimated; a measured zero is still reported as zero. How this was measured