Developers usually go looking for a Dataminr API alternative after the same experience: the product clearly has an API, since its First Alert page lists APIs and connectors into internal systems, but there is no developer portal you can sign up for, no published price and no free key. Access starts with "Request a demo". If you want event and topic alerts flowing into your own code this week, AyeWatch is the option to try, as long as your use case is business information rather than security.
What you are actually comparing
Dataminr's integration story is built for large organizations. Its products feed alerts into security operations, newsroom tools and government systems, and it describes fusing internal and external data for cyber defense. That is a procurement project with an account team.
AyeWatch's integration story is built for one developer with a credit card. Every paid plan includes the same set of hooks.
| AyeWatch | Dataminr | |
|---|---|---|
| How you get access | Sign up, pick a paid plan | Sales-led, demo first |
| Published price | Paid plans from $9/mo | None |
| REST API | On every paid plan | APIs and connectors, terms not public |
| Webhooks | HMAC-SHA256 signed | No public details |
| MCP server for AI agents | Yes, on paid plans | Not listed on its site |
| Built for | Business, market and topic alerts | Security, public sector, news, cyber |
The AyeWatch pieces a developer uses
Topics as plain-English rules. A topic is a sentence such as "New releases, deprecations or breaking changes in the logging library we ship, from its maintainers or changelog." AyeWatch reads new items from more than a billion sources and decides by meaning whether they match, so you are not maintaining a keyword list in code.
Webhooks. When a topic finds something, AyeWatch can POST to your endpoint. Payloads are signed with HMAC-SHA256, so you verify the signature before you act on the alert. That covers the usual pattern of piping alerts into an internal service, a queue or a ticket.
REST API. You can create, list, update and delete topics from your own code. That makes it practical to generate monitors from data you already hold, for example one topic per dependency in a manifest or one per customer account you care about.
MCP server. AyeWatch runs an MCP server, so an AI agent can manage your monitors directly. If your team already works through an assistant that speaks MCP, it can set up and adjust topics without anyone opening the dashboard.
Other channels. Slack, Discord, email and a daily digest are there too, and you pick channels per topic. A noisy research topic can go to the digest while an urgent one fires a webhook.
Plan docs and the API reference are linked from the AyeWatch site.
Speed, and how to set it per topic
AyeWatch lets each topic run at its own pace, so an urgent market topic and a slow policy topic do not share one schedule. Auto mode on paid plans raises the check rate while a topic is busy and lowers it when things go quiet, which keeps webhook volume sensible without hand tuning.
AyeWatch does not claim to be as fast as Dataminr. For a build that reacts to product, market or policy news, it is usually fast enough. For anything where minutes affect safety, it is the wrong tool.
A small example build
Say you track AI usage costs across providers and want to know when one of them changes its pricing or rate limits.
- Create a webpage monitor for each provider's pricing page.
- Create a topic: "Announcements of price or rate limit changes by the major AI model providers, from official blogs or changelogs."
- Point both at a webhook that verifies the signature and writes the summary into your changelog table.
- Run the topic on Auto mode so it speeds up on launch days.
That is an afternoon of work, and webhooks and the API come with every paid plan, from $9 a month.
When to stay with Dataminr
If your integration feeds a security operations center, a crisis desk or an emergency response system, keep Dataminr or another risk intelligence platform. AyeWatch has no threat scoring and no security integrations, and it should not drive life-safety alerts. Teams that need enterprise SLAs or on-premise options also belong on Dataminr. The AyeWatch comparison draws the same line.