Multi-Source Consensus Verification

Don't ask one AI if it's true.
Ask five sources and show the work.

Crosscheck verifies every claim in your content against independent authoritative sources. Not a single LLM guessing. Real consensus from real references, with full transparency on every verdict.

Live Verification
Every claim. Every source. Every verdict visible.

The SEC reported that insider trading enforcement actions increased 42% in fiscal year 2025, with penalties totaling over $4.2 billion across 731 cases. Under Chair Gensler's tenure, the commission filed more enforcement actions than any prior five-year period, focusing particularly on crypto-related violations.

SEC.gov Annual Report FY2025
"...enforcement actions rose 42% year-over-year to 784 total actions..."
Reuters Legal
"...total monetary penalties reached $3.9 billion across 784 cases, not 731..."
Congressional Research Service
"...record enforcement activity exceeded all previous five-year windows..."
Consensus 87%
How It Works
Three stages. Zero black boxes.
01 — EXTRACT
Claim Detection
Every factual assertion is identified automatically: dates, statistics, named entities, legal citations, attributed quotes, regulatory references.
02 — VERIFY
Multi-Source Query
Each claim is checked against 3-5 independent authoritative sources in parallel. Government databases, primary references, peer-reviewed material.
03 — CONSENSUS
Confidence Scoring
Source positions are compared. High agreement = verified. Conflicting sources = flagged with all positions surfaced. The confidence is real signal, not LLM self-assessment.
3-5
Sources Per Claim
30-90s
Verification Time
100%
Source Transparency
0
Black Box Verdicts
Why Crosscheck
Built for teams whose reputation depends on getting facts right.
Workflow

Resolve Inline, Export Clean

Disputed claims highlighted amber, verified green. Click any highlight for the source breakdown. One-click "Insert Fix" or manual edit. Export the corrected article in your format.

Transparency

Show the Work

Every verdict comes with a full breakdown: which sources agreed, which disagreed, the actual snippets, and the recommended correction. Defend every approval or flag.

Consensus

Not One More LLM Opinion

Single-model fact-checking trades one hallucination problem for another. Crosscheck derives confidence from inter-source agreement across independent authoritative references.

Enterprise

Built for Regulated Industries

Finance, legal, health, tech. Teams running AI-generated content through verification before publish. Where a single factual error means liability, not just embarrassment.

Verification infrastructure for content teams that can't afford to be wrong.

Every stat, citation, and claim your team publishes, verified against independent sources with full transparency. Compress days of manual fact-checking into minutes without sacrificing rigor.