Exa Web Research Monitor with Claude Code
A monitor batch is not a to do list, it is forty maybes in no useful order. The work is a chain of cheap decisions before an expensive one: which query produced this, what earlier runs already carried, which headlines survive a first read, and only then which few pages are worth opening. Claude Code holds that order instead of jumping to the fetch, which is what keeps a wide monitor affordable.
Watch it work before it's live
Run a staged conversation — no account needed. The agent handles it for real while a simulated world answers its tool calls; nothing touches real accounts, and nothing is actually sent.
Managed vector search: funding, launches, benchmarks
The 06:00 run returns 14 new results. Among them a Seoul startup announcing a 22 million dollar Series A with three named customers, an independent benchmark putting four providers side by side on recall and cost per million queries, two syndicated rewrites of a launch this monitor already carried on Tuesday, and an arXiv paper on quantisation that several of the other results cite.
Set up in minutes
Using this template drops you into a guided setup. It asks exactly this, nothing else:
Connect Exa
One sign-in. The agent acts through your account, scoped to what this template uses.
Connect Slack
One sign-in. The agent acts through your account, scoped to what this template uses.
Watch brief
The subjects these monitors cover and what makes a result worth your time: the companies, technologies and rules you follow, the angle you read them from, and what you already consider noise. This is the only test a result is put through.
Runs on Claude Code
Preselected for this page — connect your Claude Code account during setup, or switch to NoClick's built-in models with one click.
Watch it handle a test run
A staged conversation against a simulated world — then it’s live.
Why Claude Code for this agent
Cheap gates before the costly one
Titles and snippets are free to judge and page contents are not. A harness that plans the sequence before acting spends the fetch budget on the shortlist rather than on the whole batch.
Two questions, said out loud
Every survivor is ruled on in the open: does the brief cover this, and is it new. Reading that reasoning is how you find out your brief is too loose rather than guessing at it.
Before you fork
How much of a normal batch actually survives?
On most briefs the majority is dropped, and a run keeping two items out of fourteen is working correctly rather than being lazy. Semantic search is built to return pages that are about a subject without naming it, so adjacency is the price of the recall you wanted. The discarded count and its reasons close every digest, so the ratio is yours to inspect.
Run it with a different agent
Put Exa Web Research Monitor to work on Claude Code
Free to start. Guided setup, a test run against staged conversations, and it's live.