Try Jylus with your workload

Try Jylus with your workload is an API service that ingests workload data to generate compact, source-backed context packs for AI models.

Jylus is a data engine that turns changing records into compact, source-backed Context Packs for AI models. Users can test the product through a single-use trial without an account, where Jylus creates an isolated one-time tenant, compiles the result, blocks access, and deletes the tenant. It also supports creating a free workspace via Email, GitHub, or Google to send real payloads. The API accepts logs, telemetry, JSON, events, and documents via HTTPS, NATS JetStream, Docker, and OpenTelemetry. The service returns responses containing facts, temporal evidence, proof IDs, contradictions, missing evidence, token estimates, and completeness metrics. It helps developers compare model inputs and answers by providing verifiable evidence for workloads.

Try Jylus with your workload at a glance

Best for: Software engineer
Runs on: API, Web
Pricing: Free
Released: September 2026
Category: AI agent tool
Website: jylus.ai

Key features

Ingest logs, telemetry, JSON, events, and documents
Generate proof-bound Context Packs
Inspect retained facts and proof IDs
Check temporal evidence and contradictions
Track token estimates and execution time
Test mixed structured, semantic, and relationship queries
Send payloads via HTTPS, NATS JetStream, Docker, and OpenTelemetry

Use it for

Test AI evidence with current state, history, and documents
Compare model answers against current context path and Jylus evidence
Send logs, telemetry, or JSON to inspect source-backed evidence
Search retained history and test mixed queries

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