# Show HN:Jylus – give AI systems evidence from changing data.

> Source: <https://jylus.ai/try>
> Published: 2026-09-29 00:33:11+00:00

## Test better evidence.

Ingest evidence, generate a proof-bound Context Pack, then compare model input and answers on your workload.

Developer workload access

Send logs, OpenTelemetry, Docker events, telemetry or awkward JSON. Measure ingest, retrieval and proof-bound Context Packs with your own data.

Send events, search retained history and test mixed structured, semantic and relationship queries.

Single-use trial

No account is required. Jylus creates an isolated one-time tenant, compiles the result, blocks further access immediately, and sends the tenant through the deletion lifecycle.

The response contains source-backed facts, proof IDs, conflicts, missing evidence and the deletion state.

Test AI evidence

Use your own current state, history and documents. Jylus returns a bounded Context Pack with facts, timeline evidence, contradictions, freshness and proof IDs.

`/api/v1/analyze` with the question your model needs answered.
75.130% Recall@10 · 45.663% MRR@10

31.473% program accuracy · zero model calls

TEMPO · FULL LIVE API COHORT
The complete test loop

The response keeps facts, temporal evidence, contradictions, missing evidence and proof IDs explicit. Efficiency values are measured from your own request.

```
curl https://api.jylus.ai/api/v1/analyze \
  --request POST \
  --header "Authorization: Bearer $JYLUS_READ_API_KEY" \
  --header "Content-Type: application/json" \
  --data '{
    "source": "current",
    "text": "What is the latest latency reported by edge-17?",
    "vector": {
      "text": "latest edge device response time"
    },
    "context": {
      "mode": "decision",
      "token_budget": 2000,
      "max_facts": 18,
      "max_timeline": 12,
      "include_documents": false
    },
    "scan_limit": 1000,
    "limit": 24,
    "include_results": false
  }'
{
  "success": true,
  "complete": true,
  "execution_mode": "native_current",
  "context": {
    "decision_context_id": "ctx_...",
    "decision_readiness": {
      "status": "ready",
      "can_answer": true
    },
    "facts": [
      {
        "statement": "edge-17 reported 12.4 ms latency",
        "proof_ids": ["evt_001"]
      }
    ],
    "timeline": [
      { "observed_at": "2026-08-21T08:00:00Z", "proof_ids": ["evt_001"] }
    ],
    "contradictions": [],
    "missing_evidence": [],
    "context_efficiency": {
      "source_tokens_estimated": 1842,
      "retained_evidence_tokens_estimated": 436,
      "estimated_token_reduction_percent": 76.33
    },
    "proof": { "event_ids": ["evt_..."], "complete": true }
  }
}
```

Test the data engine

```
curl https://api.jylus.ai/api/v1/events \
  -H "Authorization: Bearer $JYLUS_API_KEY" \
  -H "Idempotency-Key: try_evt_001" \
  -H "Content-Type: application/json" \
  -d '{
    "stream": "my-workload",
    "events": [{
      "id": "evt_001",
      "type": "telemetry.sample",
      "occurred_at": "2026-08-21T08:00:00Z",
      "data": { "device": "edge-17", "latency_ms": 12.4 }
    }]
  }'
```