Housecarl
Housecarl Arbiter
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Arbiter · Confidence scoring for your AI

Decisions you can defend.

Three credible sources. Three different conclusions. Your AI picks one and sounds certain. Connect Arbiter and it weighs each source by how reliable and how recent it is, lays out the disagreements instead of smoothing them over, and hands back an answer that says how confident you should be — and why.

No gut calls. The reasoning is on the record.

We measure the sources you give us against what they say. We do not go looking for evidence on our own, and we do not adjudicate the world.

If you'd lean on AI more if you could check its work, this is that check: Arbiter scores source reliability, detects contradictions between sources, and shows you where a confident-sounding answer has nothing behind it.

Connect it to your AI → ▸ See an example investigation
$0
To start — no card
2 min
To connect your AI
11
Source types, each weighted
What it does

Not every source gets an equal say

Source weighting · reliability scoring

Every source carries a reliability score. A filing outweighs an anonymous tweet; conflicts of interest are discounted automatically.

Disagreements, laid out — not averaged away

Contradiction detection

See where your sources actually disagree — every reading that holds together, who backs it, and how strong it is.

Old news counts less

Recency · older claims count for less

Claims lose weight as they age. Stale rumors don't pollute a live thesis.

Every answer shows its work

Full audit trail

Every claim has a source, a score, and a timestamp. Retrace the reasoning after the decision.

Works with Claude, ChatGPT and Gemini. Setup takes about two minutes and needs no code. Developers can use the REST API or the Model Context Protocol (MCP), an open standard that lets AI assistants call outside software.

Sound familiar?