Chandler puts county-level layoff signals into a Claude conversation, so you can ask about workforce displacement the way you'd ask any other question.
What it is
Chandler is a data product that scores the risk of labor-market displacement for every one of the 3,221 US counties. The underlying inputs — WARN Act filings, bankruptcy court data, and BLS forecasts — are public records. What Chandler sells is the layer built on top of them: a displacement score per county, a rank against every other live filing, and the reasoning behind the score.
You can reach it two ways. If you use Claude Desktop or another assistant that supports the Model Context Protocol, you add Chandler as a server (Settings → MCP Servers → Add Server, pointing at product.kcalbinmcp.uk/mcp) and then query displacement signals inside your conversations. If you're building your own agent or workflow, you can call the same data as an API with a Bearer token.
There's a free preview before you commit to anything: connect to the MCP endpoint with no account and you can confirm that a signal exists for a county. County names and other identifying detail stay masked until you subscribe, so the preview tells you something is there without giving away the detail you'd be paying for.
Paid access is a monthly subscription with three tiers. Starter, at $299/month, includes 1,000 queries a day, the displacement score for all 3,221 counties, WARN filings with company names and source links, 3- and 6-month BLS unemployment forecasts, a high-seasonal-variation flag on every county, and API access. Professional, at $999/month, adds bankruptcy court signals, WARN Act lawsuit and NLRB filings, and a weekly digest email. Enterprise, at $2,999/month, removes the query cap and adds Census building permit data by county, BLS QCEW industry employment by county, and NY Fed household delinquency data for eleven states. An API key arrives by email after checkout.
Chandler describes three groups it's built for: county and state workforce agencies using it as an early-warning tool for resource allocation, investment managers using it as a labor-market lead indicator, and employment attorneys looking for intelligence ahead of a WARN filing.
What it does not do
A displacement score is a decision aid, not a guarantee about any specific employer or county. Chandler states its own forecasting layer has been checked against 190,195 real BLS LAUS outcomes, with directional accuracy of 60.2% at the 3-month horizon and 66.0% at 6 months. Those are the measured figures as given, and they describe historical performance against a large outcome set — not a promise about what will happen in any one county or to any one employer next.
The product surfaces a score, a rank, and the public filings behind them; how you weigh that against local knowledge, other data, or your own judgment is left to you.
Delivery is digital only, through MCP or the API — there's no physical product and no shipping involved. Refunds are available in full within 14 days of your first charge; after that, you can cancel at any time, but cancellation stops future billing rather than refunding past charges.
If you need something the standard tiers don't cover — custom geographic scope, procurement paperwork, or a question before you sign up — Kcalbin's "Ask about access" form says a person reads it, rather than routing it to an automated mailing list. The page also lists an email address, carey@kcalbin.com, as an alternative way to reach the company.
Where this leaves you
If your job involves watching for labor-market stress — a state agency planning outreach, an investment desk tracking a leading indicator, an attorney anticipating a filing — Chandler gives you a way to query that signal from a tool you may already use. The free preview lets you see that the signal exists before you decide whether the detail behind it is worth paying for. What it won't do is tell you, with certainty, what a specific employer is about to do — it reports a score and a measured accuracy rate against past outcomes, and leaves the rest of the judgment to you.