Autonomous knowledge engine

The maximum truth
engine.

Every claim traced to source. Every contradiction surfaced. Every gap identified. Dravoris doesn't search — it builds living knowledge graphs with full provenance chains and epistemic confidence scoring.

Request accessSee how it works
112K+
Evidence links mapped
6layers
Proximity-to-truth classes
42sec
Avg. mission completion
0.73
Mean confidence score
CLAIMS VERIFIED 14,892CONTRADICTIONS 847SOURCES 312NOVELTY 0.41MISSIONS/24H 89KB DOCS 38,201EVIDENCE LINKS 112,440AVG LATENCY 1.2sCLAIMS VERIFIED 14,892CONTRADICTIONS 847SOURCES 312NOVELTY 0.41MISSIONS/24H 89KB DOCS 38,201EVIDENCE LINKS 112,440AVG LATENCY 1.2s
System
dravoris — mission control Live
$ dravoris ask "Will the Fed cut rates before July 2026?"

▸ Mission created   mode=initial_research   agents=3
▸ Context loaded    prior_claims=47   contradictions=3   freshness_gap=12h

▸ Scout-01       google_news_rss     submitted=18  accepted=7  dup=11
▸ Verifier-01    official_feeds      submitted=6   accepted=4  dup=2
▸ Scholar-01     arxiv_api           submitted=4   accepted=2  dup=2

▸ Infig           +13 documents   +31 claims   +19 evidence_links   +2 contradictions

▸ CONTRADICTION DETECTED   confidence_spread=0.16
  A: "Fed officials signal patience through Q3"      P1_DIRECT_QUOTE   conf=0.87
  B: "Markets pricing 68% probability of June cut"  P2_NAMED_SECONDARY conf=0.71
  → Resolution: epistemic_gap — official stance vs market expectation divergence

▸ Mission complete   duration=42s   delta=+13 docs +31 claims +2 contradictions
▸ Knowledge graph updated   new_edges=47   strengthened=12   weakened=3
Evidence map
Supporting
Federal Reserve · Official transcript
“Committee sees it appropriate to maintain current target range for the federal funds rate.”
P0_DIRECT_PRIMARYconf: 0.94
Reuters · Wire report
“Three Fed governors emphasized data-dependence in recent speeches, pushing back on rate-cut expectations.”
P1_DIRECT_QUOTEconf: 0.87
arXiv · Working paper
“Historical analysis: Fed has maintained rates for avg. 11 months after final hike in 7/8 recent cycles.”
P3_ANALYTIC_INFERENCEconf: 0.68
Opposing
CME FedWatch · Market data
“Fed funds futures imply 68% probability of at least one cut by June 2026 FOMC meeting.”
P0_DIRECT_PRIMARYconf: 0.91
Goldman Sachs · Research note
“Our base case calls for two 25bp cuts starting May, driven by softening labor market indicators.”
P2_NAMED_SECONDARYconf: 0.74
X · @NickTimiraos
“Hearing from multiple sources that internal Fed models now show inflation returning to target by Q3.”
P4_HEARSAY_ANONYMOUSconf: 0.42
⚡ ContradictionOfficial Fed stance (hold) vs market pricing + analyst consensus (cut) — epistemic gap with 0.16 confidence spread
Capabilities
N
Autonomous agents
Parallel research
Tool-specialized agents scan news, official feeds, scientific papers, and prediction markets concurrently. Each agent reports back through structured ingestion.
6
Proximity classes
Epistemic distance
Every claim classified from P0 (direct primary evidence) to P5 (unverified rumor). Confidence decomposed into source reliability × extraction quality × recency.
∞
Cross-references
Living knowledge graph
Claims linked to sources, entities, events, and markets. Contradictions auto-detected. Evidence weighted, versioned, and fully explainable.
0
Blind spots
Gap detection
The system identifies what's missing — not just what's there. Coverage gaps, stale evidence, and under-explored angles flagged automatically.
Input
Ask anything
Natural language question → orchestrator plans a research mission, selects tools, allocates agents, sets stop criteria.
Process
Agents explore
Each agent scans its domain. Findings are deduplicated, quality-scored, and digested into atomic claims with provenance chains.
Output
Knowledge, not links
Structured evidence map: supporting vs opposing claims, confidence scores, contradiction flags, and the specific gaps that matter most.

See truth clearly.

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