AI writes the integration now — we make sure it works.
The independent lab measuring how well AI agents can actually use the world's APIs and MCP servers — and exactly where they break.
For two decades, software was built for people clicking through pixels. Now agents read the docs, call the APIs, and decide on behalf of the developers who used to.
The legibility layer that made the human web measurable — search, analytics, benchmarks — has no equivalent for agents. When an agent writes broken code against your product, no one files a ticket; the developer just quietly leaves. Jazel builds the missing measurement layer.
of developer-documentation traffic is now served to AI agents, not humans.
The independent lab that proves how well AI agents can use your API or MCP server — and tells you exactly what to fix.
Run the real agents
We run the shipped products — Claude Code, Codex — headless, with web access blocked at the network layer. Real failures, exactly like a developer working offline.
Seal it, then verify the outcome
Generated code runs against a faithful simulation with no outside network. We don't grade text — we check the actual end state. Any correct method passes.
Rank, and hand over the fixes
A code-level report: where each agent breaks, why, and the ranked fixes — parity-framed against your category peers, and reproducible to ±3.
See the full lab, a live sample report, and pricing.
Independent by default
A company that generates integrations cannot neutrally rate them. We grade no one's homework but the field's — neutrality is the entire product, not a feature of it.
Reproducible or it didn't happen
Sealed, deterministic, audit-grade. If we can't prove a failure happens every single time — and hand your engineer a one-command replay — it doesn't go in the report.
Public infrastructure
Trust in a benchmark comes from being inspectable, not from a logo. The methodology and the corpus are designed to be legible to everyone the scores affect.
Jazel Labs Private Limited is an independent research lab. We build measurement infrastructure for the agent economy — the instruments that make agent behaviour legible to the people who actually ship software.
We're early to a question the whole industry has only just begun asking out loud: are we agent-ready? AgentRank is the first answer. More instruments follow — each compounding on the data and the trust the last one earned.
Abhishek Aggarwal
Builds AI agents and the infrastructure around them. Founded Jazel Labs to make agent-readiness measurable — independently, and with proof — before the rest of the industry agreed it had to be.
Request a private AgentRank report on your API or MCP server — or just tell us what you're building.