Jylus

Jylus

Jylus is a governed evidence and state platform for enterprise AI that ingests logs, telemetry and documents to produce proof-bound Context Packs — explicit, time-aware evidence bundles you can feed into models and measure against your workloads.

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Free Trial API 70/100
One of 136 tools in Developer Tools
Just launched
Data reviewed Sep 29, 2026

Profile facts come from the vendor source. AiMatch labels unknown pricing or API details instead of estimating them.

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Quick Overview

Best for: Developer Tools

What it does

Developer Tools software for decision-makers comparing workflow fit and alternatives.

Best fit

Developer Tools

Pricing snapshot

Free Trial from Free (no credit card required for initial workspace and single-use trials)

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Jylus provides a governed evidence and state layer for enterprise AI, designed to ingest operational data (logs, OpenTelemetry, Docker events, telemetry and JSON) and compile proof-bound Context Packs that record retained facts, timeline evidence, contradictions, missing evidence and proof IDs. It is aimed at developers and teams who want to test and measure ML/AI behavior on their own workloads — enabling comparison of model inputs and answers with explicit, source-backed evidence. The platform offers quickstarts, a developer hub, and APIs to push events, request analysis, inspect compiled Context Packs, and evaluate model readiness and decision context.

Get a free Jylus API key, send your own logs, telemetry or JSON, and inspect compact source-backed evidence.

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Key Features

Ingest diverse telemetry

Accepts logs, OpenTelemetry, Docker events, telemetry and arbitrary JSON (including awkward JSON) to populate the evidence store.

Proof-bound Context Packs

Generates bounded Context Packs containing source-backed facts, timelines, contradictions, missing evidence and proof IDs to make model inputs auditable.

Analyze API

API endpoint /api/v1/analyze accepts questions and context parameters (mode, token_budget, max_facts, etc.) to produce decision-ready context with estimated token efficiency and proof metadata.

Event ingestion API

HTTP API for events (example: POST /api/v1/events) with idempotency, event schemas (id, type, occurred_at, data) and 202 Accepted responses for ingestion.

Single-use trial tenant

Single-use trial mode creates an isolated one-time tenant, compiles the result, blocks further access immediately and sends the tenant through a deletion lifecycle for privacy and safe testing.

Measured native stack metrics

Reports benchmark-style metrics (e.g., QASPER NDCG@10, FinQA execution accuracy, TEMPO) measured on the native Jylus stack to demonstrate analytic performance on standard tasks.

Pricing

Free Tier Available

Free developer workspace with 1 GB storage, 1,000 events/sec ingest capacity, and single-use trial without a credit card.

Free trial / Developer access

Free (no credit card required for initial workspace and single-use trials)
  • 1 GB free storage
  • Ingest capacity: 1,000 events/sec
  • Data region: Sydney, Australia
  • Scoped API keys and single-use trial tenant

Use Cases

Developer workload validation

Send real operational events and logs to Jylus to compile evidence and Context Packs that help developers validate what their models see and decide on correctness.

AI evidence testing and model comparison

Generate proof-bound evidence for a question, inspect the retained facts and timeline, then run the same question through your model to compare outputs and measure differences.

Real-time systems and monitoring

Push streaming events and query retained history to test mixed structured, semantic and relationship queries for real-time decisioning and incident analysis.

Integrations

HTTPS API

Primary ingestion and analysis mechanism via documented HTTP endpoints (examples shown on the page).

NATS JetStream

Supported streaming ingestion option mentioned in the Developer hub setup.

Docker events

Examples and support for ingesting Docker events as part of operational telemetry.

OpenTelemetry

Support for OpenTelemetry data to include traces/metrics in the evidence store.

Sign-on providers

Workspace creation via Email, GitHub or Google as mentioned on the page.

Benefits

Produces auditable, source-backed Context Packs that include proof IDs, timelines, contradictions and missing evidence.
Enables direct comparison between what evidence was provided and what models answered, improving testability and governance of AI systems.
Supports a variety of ingestion methods (HTTPS API, NATS JetStream, Docker events, OpenTelemetry) to integrate with developer workloads.
Privacy-focused operational model: single-use trial tenants with an explicit deletion lifecycle and an explicit claim that data is not used to train general-purpose AI.
Quick onboarding: free workspace with one-time scoped API keys and example curl commands to send events and request analyses.

Limitations

Single-use trial tenants are isolated and access is blocked immediately after the run, then sent through a deletion lifecycle.
Maximum upload for the browser-based single-use trial input is 32 KB per file/record as stated on the page.
Data region for the trial/product example is specified as Sydney, Australia (may imply regional limits).

Frequently Asked Questions

No verified FAQs are available.

Getting Started

  1. 1 Create a free workspace using Email, GitHub or Google (no payment step).
  2. 2 Copy the one-time, read-scoped API key shown in the developer hub.
  3. 3 Send your first event using the events API (example curl provided for POST /api/v1/events).
  4. 4 Request a Context Pack via /api/v1/analyze with your question and context parameters.
  5. 5 Inspect the returned Context Pack (facts, timeline, proof IDs, token estimates) and compare results against your model.

Support

docs

Developer docs and API reference available via the Developers/Documentation links on jylus.ai (quickstarts and examples on the try page).

contact sales

Contact sales link referenced on the site (page includes 'Contact sales').

developer hub

Developer hub with quickstarts, example curl commands and setup for HTTPS, NATS JetStream, Docker and OpenTelemetry.

API

Available: Yes
Documentation:

Developer docs and API reference linked from jylus.ai (see the Try / Developers sections on the page)

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