Paste your DDL.
Beam audits it. Alex & Morgan narrate.
Our entry for the Beam × Hugging Face build contest: we ran the 501B open model through a real data-analyst workload — and shipped the live demo, the graded benchmark, and the measured dataset. The demo runs on Reflection's free daily allowance; when it's exhausted, it says so honestly.
Beam audits your database →
Beam parses your DDL into a schema (agentic structured output), the deterministic production rubric scores it, then Beam writes a two-host analysis — with its raw reasoning stream visible throughout.
Beam vs our production model →
The same synthesis workload, 24 graded runs: JSON validity, shape, grounding. Frozen artifact — measured, never curated. Includes Beam's famous exec-summary shape failure.
Agent-service quality index →
Measured quality scores for 150+ pay-per-call agent services (x402 gates, latency, delivery) — the workload context the benchmark ran against.