Semantic webhooks for AI agents.

Turn plain-English conditions like "when a customer mentions downtime" into reliable triggers your agent can act on. Watchline filters noisy app events before your agent spends tokens.

Create a Trigger Read the Docs

semantic trigger

Condition

"When an enterprise customer mentions downtime"

Created from a normal user request inside an agent.

InboxNewsletter: AI tooling weeklyRejected

CalendarDaily standup moved by 15 minutesRejected

Customer emailNorthgate says rollout is blocked by downtimeMatched

BillingCloud receipt for last monthRejected

Delivered Event

Start support agent run

Reason: customer email reports blocked rollout and API downtime.

source: gmailaccount: Northgateaction: escalate

Measured on WatchBench

Less polling. Fewer agent turns.

On a 50-event email slice, Watchline delivered the same workload shape with sharply lower downstream cost than a polling baseline.

91.0%fewerDownstream tokens

68.2%fewerSource calls

50.0%fewerAgent calls

PathSource CallsAgent CallsTokens

Polling agent15742508,583

Watchline502145,904

View Benchmark Notes

Examples

Triggers should sound like user intent.

The input is a future condition. The output is an actionable event your agent can inspect, route, or use to start work.

Customer Escalation

"When an enterprise customer mentions downtime"

Start a support agent with the thread and matching lines.

Code & Incidents

"When CI fails again on the release branch"

Send repo, branch, check, commit, and failure context.

Contracts & Renewals

"When a vendor sends renewal or pricing terms"

Draft a reply, route approval, or update the deal record.

Calendar Changes

"When a customer meeting moves within 24 hours"

Prepare a brief or notify the responsible agent.

Personal Operations

"When school, travel, billing, or legal email needs a decision"

Send the packet to a local assistant or create a task.

Hiring

"When a candidate accepts, declines, or reaches offer stage"

Summarize the thread and suggest next steps.

How it works

Plain English in. Matched events out.

Describe the condition

Your app, user, or agent says what should trigger future work.

Fill missing details

Watchline asks for a sender, app connection, project, or rule when it needs precision.

Filter source events

Email, calendar, ticket, code, and CRM events are checked before your agent runs.

Deliver the match

Your agent receives the event, the condition it matched, and the reason.

Act on it

Notify, draft, escalate, open an issue, or kick off a workflow.

Platform

Add semantic event routing to your product.

Watchline gives agent teams a hosted layer for defining future conditions, filtering source streams, and delivering only matched events.

Triggers API

Create and manage plain-English conditions from your product or agent workflow.

Source filtering

Evaluate noisy email, calendar, ticket, code, and CRM streams before your agent runs.

Event delivery

Send matched events to your backend with the condition, source payload, and match reason.

iPaaS vs Watchline

iPaaS connects apps after a trigger fires. Watchline lets agents define what future event is worth waking up for.

WatchlineiPaaS

Turn "tell me when..." into a durable trigger×

Let the agent set up and revise triggers in chat×

Filter noisy app events before spending agent tokensPartial

Deliver the match with source context and reasonPartial

Support local agents without public inbound webhooks×

Build fixed app-to-app automations×

FAQs

Questions? Answers.

The short version: Watchline watches app changes for your agent, so your agent only runs when something actually matters. Still have questions? Start a project.

What does Watchline do?

Watchline listens to connected apps, checks new events against a user's plain-English request, and sends your agent only the events that match.

Is Watchline an agent?

No. Your agent still does the work. Watchline decides when the agent should run and gives it the event, the request, and the reason it matched.

How does a user set one up?

They ask naturally, like "tell me when a customer mentions downtime." Your agent or product sends that request to Watchline. If an app needs to be connected, Watchline returns the next setup step.

How does the match reach my agent?

If your agent runs on a server, Watchline can call your webhook. If it runs locally, your app can pull pending matches without exposing a public URL.

Why not just poll every few minutes?

Polling makes the agent repeatedly check apps even when nothing useful happened. Watchline checks the app changes first, then wakes the agent only for relevant matches.

Who is Watchline built for?

Teams building agents that need to react later: support agents, inbox assistants, calendar workflows, coding agents, and internal tools.