Exa Monitors v2 is web search on a schedule for AI agents. Describe what to watch, pick an interval, and Exa calls your webhook only when something new and relevant turns up, with a summary or JSON output and citations. Per Exa, v2 remembers what it has already sent, is quieter than v1, and costs $2 per 1k runs, down from $15. Watch prices, news, competitors, people and more. Python SDK and API available.
Exa Monitors v2 is the update to Exa’s scheduled web search for AI agents. It’s now cheaper and quieter.
Monitors is web search on a schedule. You describe what to watch and pick an interval, and Exa sends only new, relevant results to your agent’s webhook, so the agent doesn’t have to poll. Exa compares it to Google Alerts, which sends an email or RSS digest, while Monitors calls your agent directly.
What changed in v2:
Price is $2 per 1k runs, down from $15, which Exa calls “over 7x cheaper”. Existing implementations don’t need changes.
Runs now remember what they’ve already seen and passed on, so your agent is only called when something actually changes.
On the team’s production monitors, Exa says v2 updates were all relevant and the monitors were noticeably quieter than v1. That’s Exa’s own testing.
How it works, per Exa: a fast search over a time window that matches the monitor’s cadence, then a check that drops pages already seen and keeps only those that pass relevance, source legitimacy, new information and event timing. What’s left comes back as a short summary or JSON in your own schema, with sources and a confidence level per field.
Things people watch with it, per Exa: price drops and restocks, news on a story, competitor launches and pricing changes, executive job changes, prediction market settlement, sales triggers and adverse media screening.
It’s built for developers, with an API and a Python SDK (exa.monitors.create), and a quickstart in the docs.
Good fit if you’re building an agent that needs to react to changes on the web, instead of re-searching on a loop and filtering the noise yourself.
I've burned a lot of agent cycles on search again, nothing new. If a monitor stays quiet for two weeks, I can't tell whether nothing actually changed on the web, or the judge discarded what I wanted to see. Is there a per-run log of what it threw out?
The 'only ping me when something actually changed' part is what makes this usable — every monitor I've set up before turned into noise within a week. At $2/1k runs I'd happily leave a bunch running: App Store guideline pages, Swift evolution proposals, competitor changelogs. It's the stuff I check manually every morning and mostly find unchanged.
Cool launch! Does this deliver results from existing search engine indices or has its own crawling/indexing?
congrats on the launch exa team. i would use this for competitor pricing and landing pages, those changes are easy to miss. does the alert show exactly what changed on the page?
wed use this to catch companies posting that theyre hiring mobile devs, thats often right before they start asking agencies for quotes. at $2 per 1k runs you can just leave a bunch of them running
cool launch, congrats!! if a story I'm watching gets a follow-up article with one new detail, does Exa count that as new and ping my agent or treat it as already sent?
About Exa Monitors v2 on Product Hunt
“Web search on a schedule that calls your agent, $2/1k runs”
Exa Monitors v2 launched on Product Hunt on November 7th, 2026 and earned 204 upvotes and 7 comments, placing #4 on the daily leaderboard. Exa Monitors v2 is web search on a schedule for AI agents. Describe what to watch, pick an interval, and Exa calls your webhook only when something new and relevant turns up, with a summary or JSON output and citations. Per Exa, v2 remembers what it has already sent, is quieter than v1, and costs $2 per 1k runs, down from $15. Watch prices, news, competitors, people and more. Python SDK and API available.
Exa Monitors v2 was featured in Artificial Intelligence (483.3k followers) on Product Hunt. Together, these topics include over 136.8k products, making this a competitive space to launch in.
Who hunted Exa Monitors v2?
Exa Monitors v2 was hunted by Rohan Chaubey. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Exa Monitors v2 stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Rohan Chaubey
Exa Monitors v2 is the update to Exa’s scheduled web search for AI agents. It’s now cheaper and quieter.
Monitors is web search on a schedule. You describe what to watch and pick an interval, and Exa sends only new, relevant results to your agent’s webhook, so the agent doesn’t have to poll. Exa compares it to Google Alerts, which sends an email or RSS digest, while Monitors calls your agent directly.
What changed in v2:
Price is $2 per 1k runs, down from $15, which Exa calls “over 7x cheaper”. Existing implementations don’t need changes.
Runs now remember what they’ve already seen and passed on, so your agent is only called when something actually changes.
On the team’s production monitors, Exa says v2 updates were all relevant and the monitors were noticeably quieter than v1. That’s Exa’s own testing.
How it works, per Exa: a fast search over a time window that matches the monitor’s cadence, then a check that drops pages already seen and keeps only those that pass relevance, source legitimacy, new information and event timing. What’s left comes back as a short summary or JSON in your own schema, with sources and a confidence level per field.
Things people watch with it, per Exa: price drops and restocks, news on a story, competitor launches and pricing changes, executive job changes, prediction market settlement, sales triggers and adverse media screening.
It’s built for developers, with an API and a Python SDK (exa.monitors.create), and a quickstart in the docs.
Good fit if you’re building an agent that needs to react to changes on the web, instead of re-searching on a loop and filtering the noise yourself.
Try it: Monitors v2 post · Quickstart
P.S. I hunt the latest and greatest launches in tech, SaaS and AI, follow to be notified → @rohanrecommends