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

Cyclesruncycles.io

No product description has been published for this domain yet. Everything below is measured directly.

Developer & AI Platformruncycles.ioTracked since 2026-08-191 discovery source
237Backlinks
62Referring domains
15Domain authority
+244%Referring domains · 90 days

Authority & distribution

How strong is Cycles’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

237Current snapshot

Referring domains

62Current snapshot

Authority

15Domain authority · category median 22

90-day move

+244%Referring domains, last 90 days
At 15, Cycles sits below the 22 median for its category.

Trajectory · Pro

The counts above are the latest of 160 daily observations. The curve through them is on the full profile.

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Traffic & engagement

Where Cycles ranks

Measured · Pro

Measured for this product: global rank and country rank.

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AI referral visibility

Which AI assistants are already sending Cycles traffic?

Measured · Pro

Measured for this product: AI referral traffic.

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Product profile

What Cycles is selling.

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

“Cycles”

No usable description reached this profile from any discovery source, so none is shown. The measured signals below are unaffected.

Developer & AI PlatformSeen 2026-08-19 → 2026-08-19Coverage 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://runcycles.io/?ref=futuretools.io

Observed across 1 discovery source.

Research questions

What the evidence answers about Cycles.

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

What problem does Cycles solve for autonomous AI agents?

Cycles is a runtime authority tool that stops runaway agent spend and risky actions before they execute. It acts as a pre-execution gate on cost, risk, and tool actions to prevent incidents like a $4,200 cost runaway or a prompt regression causing unintended email sends.

In what situations is Cycles used?

Cycles is used to gate budget, risk, and action authority across an AI stack before an action runs. It is specifically demonstrated for stopping cost runaways, preventing unintended actions like sending customer emails, and isolating customers in multi-tenant systems.

Who is the target audience for Cycles?

Cycles is primarily for developers building and managing autonomous AI agent systems. The product provides developer tooling for AI agent infrastructure, focusing on cost and risk control.

What features, surfaces, or integrations does Cycles offer?

Cycles offers a self-hosted, open protocol (Apache 2.0) runtime authority. It provides pre-execution gating, 4 SDKs, durable recovery, and a shared reserve with a 34ms p99 latency. It integrates with a wide range of stacks including OpenAI, Anthropic, LangChain, Vercel AI, MCP, and many others.

How is Cycles priced or packaged?

Cycles is offered as an open-source tool under the Apache 2.0 license. It is described as self-hosted, indicating it is a deployable software component rather than a hosted service with a subscription fee.

What is Cycles?

Cycles is a runtime authority for autonomous AI agents. It is an open-source, self-hosted tool (Apache 2.0) that provides pre-execution gating on cost, risk, and tool actions to prevent agent misbehavior.

Behind the lock

Unlock full Cycles intelligence.

  • Backlink trajectoryThe figures above are the latest observation. The daily curve behind them holds 160.
  • AI referral detailHow much traffic assistants send.
  • 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