AI Company Profile
AgentX
AgentX offers a builder and Python SDK for creating, tracing, evaluating and monitoring AI agents, alongside white-label agency plans and a managed enterprise automation service. Its 2026 Evaluation Framework emphasizes dataset-based testing, thresholds, model comparisons and post-deployment monitoring. Because plan depth varies materially, the decisive question is whether a buyer needs a self-serve agent platform, a client-delivery layer or a governed evaluation program.
Company Overview
AgentX is tracked in the Kingy AI company directory because it is connected to public AI launch and tool records. AgentX offers a builder and Python SDK for creating, tracing, evaluating and monitoring AI agents, alongside white-label agency plans and a managed enterprise automation service. Its 2026 Evaluation Framework emphasizes dataset-based testing, thresholds, model comparisons and post-deployment monitoring. Because plan depth varies materially, the decisive question is whether a buyer needs a self-serve agent platform, a client-delivery layer or a governed evaluation program.
The current public graph connects 1 launch and 1 tool to AgentX. That turns this profile into a working research hub: use it to move from the company to its product surface, then into dated launch records with source checks, verification status, and related Kingy AI context.
For AI builders, buyers, creators, founders, researchers, and operators, the useful question is not only what AgentX says about itself. The useful question is what the launch pattern shows: which categories the company is active in, which tools have durable profiles, whether pricing and demos are clear, and whether the source trail is strong enough for deeper editorial or creator coverage.
AI Product Evidence
The official SDK exposes tracing, evaluation and monitoring documentation under an MIT license. AgentX’s evaluation material describes historical datasets, edge cases, threshold-based release decisions, multi-run testing and continuous validation, but some screens are illustrative product examples rather than independent customer evidence. The current pricing page lists a $0 tier, Solo Builder at $49 monthly, Professional at $199 monthly and Business at $299 monthly; a later scenario section still references Professional at $249, so buyers should verify the checkout price and included evaluation depth. Kingy did not run an agent or reproduce accuracy claims. A proper trial should measure task completion, tool-call validity, trace completeness, regression detection and the cost of additional credits.
Research Notes
When reviewing AgentX, check the official product surface, docs, demos, pricing, model or API pages, and linked Kingy AI launch records before relying on claims for buying, writing, comparison, or creator-coverage decisions.
Source-Backed Profile Notes
This profile is checked against public source links where available. Official product pages, documentation, model pages, pricing pages, launch announcements, and verified company pages should carry more weight than social posts or unsourced summaries.
Market Position
Kingy AI currently classifies AgentX around AI Agents, AI Developer Tools. Those categories are not meant to be a marketing slogan; they are a practical way to understand where the company shows up in the launch database and how it may intersect with product strategy, adoption, search demand, and creator education.
Audience Fit
This profile is especially useful for teams comparing AI products and launch signals. A complete read should start with the company snapshot, continue through the linked tools and launch timeline, and end with the source panel so claims can be checked before a buying decision, article, comparison, or video brief.
Latest Tracked Move
The most recent linked launch for AgentX is AgentX Agent Evaluation Framework from June 22, 2026. AgentX launched an AI-agent evaluation workflow for building test suites, tracing failures, comparing models on quality, cost, and latency, and suggesting fixes before production deployment.
Product Surface
One linked tool profile is AgentX Agent Evaluation Framework: What It Does, Pricing, Use Cases, and Alternatives. AgentX launched an AI-agent evaluation workflow for building test suites, tracing failures, comparing models on quality, cost, and latency, and suggesting fixes before production deployment. The tool profile is where Kingy AI keeps product-level details such as what it does, pricing clarity, API availability, alternatives, related launches, and source-backed evaluation notes.
Launch Graph And Timeline
The launch graph is the most important part of this page. It shows how AgentX appears through dated AI product events instead of a generic company description. Each launch record can include category, audience, source links, pricing notes, demo signals, scoring, and a best-next-link path for deeper research.
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AgentX launched an AI-agent evaluation workflow for building test suites, tracing failures, comparing models on quality, cost, and latency, and suggesting fixes before production deployment.
Company Links
Tool Portfolio
The tool portfolio section turns the company profile into a navigable product map. For AgentX, Kingy AI currently links 1 tool that can be reviewed separately for pricing, demos, use cases, alternatives, related launches, and source-backed notes.
AgentX Agent Evaluation Framework: What It Does, Pricing, Use Cases, and Alternatives
AgentX launched an AI-agent evaluation workflow for building test suites, tracing failures, comparing models on quality, cost, and latency, and suggesting fixes before production deployment.
- Pricing
- AgentX lists a $0 platform tier with 200 one-time credits. Paid builder access starts at $49/month or $490/year with 5,000 monthly credits; additional credits are $10 per 1,000, and full Enterprise evaluation is custom-priced.
- API
- Unknown
Launch Record Cards
Use these cards when you want the shorter scan view: category, launch date, scores, open/API/free-plan signals, and the path into the full launch profile.
AgentX Agent Evaluation Framework
AgentX launched an AI-agent evaluation workflow for building test suites, tracing failures, comparing models on quality, cost, and latency, and suggesting fixes before production deployment.
- Kingy
- 7.2 / 10
- Demo
- Not scored yet
- YouTube
- Not scored yet
AgentX launched an agent-evaluation framework that builds test suites, traces failures, compares models on quality, cost, and latency, and suggests fixes before deployment, shipping…
How To Evaluate This Company
A useful AgentX review should combine company-level context with product-level evidence. Start with the official site, then inspect the linked tools and launch records for source quality, pricing clarity, demo availability, audience fit, and how recently the profile was verified.
- Check whether the company has a clear official product path, documentation, demo, pricing page, or public launch announcement.
- Compare the linked tool profiles against the launch timeline to see whether the product story is current or stale.
- Use the category and audience tags as discovery aids, then verify claims through the source links before making a buying, writing, or creator-coverage decision.
- Treat unknown funding, founder, or contact fields as research gaps, not negative signals. They identify where the profile needs more public evidence.
- When a launch or tool looks important but under-documented, submit a correction or related launch so the graph can be improved.
Editorial And Creator Coverage Notes
For Kingy AI, AgentX is most interesting when the company has a clear product change, a useful demo surface, a founder or team story, a strong comparison angle, or a launch that helps buyers understand where the AI market is moving. The current graph gives editors and creators a starting point without pretending that every profile is already complete.
Good coverage candidates usually have a specific workflow, visible product proof, a concrete audience, and enough official or high-quality public sources to avoid thin summaries. If those pieces are missing, this page should be read as a research queue as much as a company profile.
Verification And Source Notes
The verification panel below summarizes profile freshness and key source checks. It is intentionally visible because AI company pages become low-trust quickly when dates, product claims, funding notes, or source links are not kept current.
Verification & Sources
- Status
- Verified
- Source links
- 5
- Freshness
- Verified July 27, 2026
- Last verified
- July 27, 2026
- Last updated
- July 27, 2026