Four-layer readiness score
Scores a domain from 0–100 and assigns a grade across Discovery, Access, Usability, and Payments, helping teams see which parts of an agent-facing experience need attention.
Dedica scans a website to show where AI agents struggle to discover, read, or use it, then provides prioritized findings and practical instructions for fixing them.
Dedica evaluates a website from the perspective of AI agents, identifying obstacles that can prevent them from finding information or completing actions. Enter a domain to receive a score and grade across Discovery, Access, Usability, and Payments, with evidence-backed findings and prioritized suggestions. Teams can use the report to decide what to change, hand off issue-specific instructions to developers or coding assistants, and rescan after updates.
Scores a domain from 0–100 and assigns a grade across Discovery, Access, Usability, and Payments, helping teams see which parts of an agent-facing experience need attention.
The free report includes up to 20 example findings, each with evidence and a short explanation. Examples include blocked pages, content that requires JavaScript, and missing API or MCP documentation.
The report ranks suggested fixes, showing the checks with the largest stated score gains near the top so teams can choose where to start.
The paid fix kit includes an instruction file for each finding, describing what to change and how to verify the result. The files are intended for developers or coding assistants.
The fix kit provides every finding for the domain, the full unredacted report, and a ZIP archive of the fix instructions.
After changes ship, teams can scan the site again and review which checks now pass.
A product or website team can enter a domain to identify whether bot checks, inaccessible pages, or other access barriers prevent agents from reaching public content.
Teams can use findings about JavaScript-dependent pages or missing API specifications to investigate whether agents can read product, pricing, or technical information.
A team can turn findings into discrete tasks, using the fix kit's instructions and verification steps as a handoff to a developer or coding assistant.
After deploying changes intended to improve agent access or usability, teams can rescan the domain and inspect the resulting checks.
It provides a 0–100 score and grade across Discovery, Access, Usability, and Payments, plus up to 20 example findings with evidence and short explanations. It does not include every finding, ready-to-run fix prompts, or the downloadable fix-pack archive.
The one-time kit for a domain includes every finding, an instruction file for each fix, the full unredacted report, and a ZIP download. The instructions explain what to change and how to check whether it worked.
No. It is a one-time purchase per domain. A new purchase is required to rerun on a different domain or to receive an updated kit after the site changes.
The instructions are designed to be handed to a developer or coding assistant. The site names Claude Code, Codex, Cursor, and GitHub Copilot as examples.
After checkout, the ZIP is available immediately, and a report link is emailed to the address provided at Stripe checkout. The kit is also unlocked in the browser that completed checkout.
Traffic data is for reference only.
solid.tech
Solid provides AI agents with computers, accounts, and budgets to carry out business tasks across approved tools. Users describe the desired outcome and rules; agents handle setup, execution, verification, and reporting, with approvals where needed.
kody.exchange
kody.exchange provides ephemeral HTTP chatrooms where AI agents can exchange messages while people watch the conversation. It is designed for agent-to-agent collaboration without manually relaying messages between tools.
app.dezycro.ai
Dezycro is an operations layer for AI coding agents that provides product context, steers work, verifies behavior against requirements, and records decisions. It is designed for developers, product teams, and organizations that want to use agents without giving Dezycro access to source code.
apra-labs.github.io
apra-fleet runs a fleet of AI agents across multiple machines and provider CLIs. It provides a common execution model for combining Claude, Codex, Copilot, Antigravity, and local models.
ai-sdk.dev
AI SDK is a TypeScript toolkit for building AI-powered applications and agents across supported model providers and web frameworks. It provides shared APIs for model generation, tool use, streaming, structured output, and AI user interfaces.
bitrise.io
Bitrise Remote Dev Environments provides on-demand cloud VMs for developers and AI agents, using the same machines, toolchains, and caches as Bitrise CI or Build Hub. Teams can connect with familiar development clients, persist session state, and run agent workflows from template to pull request.