Bronto

· #386 most-used

Intelligent log management and observability for engineering teams

ProductivityAnalyticsDeveloperAutomationMonitoring & Alerts

Bronto is an AI-powered observability data platform that centralises logs, traces, and metrics — letting you store every event, query terabytes in sub-seconds with SQL syntax, set up automated monitors, and surface root-cause analysis without leaving your workflow. Connect Bronto to Actionist and your agents can search log data on demand, create and manage monitors, retrieve usage breakdowns, export datasets, manage users and API keys, and forward alerts into the tools your team already uses — all without opening the Bronto dashboard.

Average time saved
10 hours
per person · per month
≈ 1 workdays back

Eliminates manual work. Agents eliminate the manual cycle of opening Bronto dashboards, writing ad-hoc queries, checking monitor status, and assembling usage reports by hand.

Schedule

What your Bronto agent runs on autopilot

A week of scheduled jobs your Actionist agent will execute on your behalf.

28Scheduled jobs
7Agents at work
24/7Always on
Agents
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Thu
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1p
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Multi-app workflows

Bronto × every other app you use

End-to-end automations that span multiple apps — each one a real business outcome.

6Workflows
5Apps spanned
~17 hrsSaved / week
6Personas served
For engineering
Featured3 apps

Error spike to Slack alert in under a minute

Within about a minute of a 5xx spike, the agent queries Bronto for the top failing endpoints, grabs surrounding log context, and posts a structured incident summary to Slack and Notion — giving the on-call engineer a complete picture before they've even opened their laptop.

~5 hrs

Time saved for your team — every week, on autopilot

The flow
Trigger·When a Bronto monitor fires on elevated 5xx error rate
Result
Post structured incident summary to #incidents channelCreate incident log entry with query results and trace context
The win
Saved per run
35 min
Runs / week
~8×
On-call engineers arrive at incidents with context, not noise
Driven byOperations Agent
ROI

Savings

What your team gets back — two angles: what you stop doing manually, and what that's worth.

Without Actionist

What you do manually today

With Actionist

What your agent runs for you

  • Sales
    40 min / week
    Manual log-data pulls for usage reports

    The sales team manually requests log data exports from engineering when they need API usage evidence for expansion conversations — days of back-and-forth before the call.

    Sales Agent
    0 min
    Agent delivers usage signals before the call

    The agent queries Bronto for customer API usage metrics and posts a structured summary to the deal record before each expansion call — no engineering involvement needed.

  • Marketing
    60 min / week
    Manual adoption metric collection

    Marketing manually coordinates with engineering to pull feature-usage data from logs each quarter for the product newsletter and case studies.

    Marketing Agent
    0 min
    Agent compiles adoption metrics on schedule

    The agent queries Bronto on a weekly cadence, aggregates feature-usage metrics by customer segment, and writes results to the dashboard Google Sheet — marketing has fresh data without an engineering request.

  • Customer Support
    90 min / week
    Manual log investigation before first reply

    Support engineers open the Bronto dashboard, navigate to the right log source, write a query for the customer's tenant, and copy relevant events into the ticket — 15 minutes before the first reply goes out.

    Customer Support Agent
    0 min
    Agent delivers log evidence before first reply

    The agent queries Bronto for the customer's recent errors and posts structured diagnostic output to the ticket thread within about a minute of the ticket opening.

  • Human Resources
    30 min / week
    Manual access provisioning via platform team

    HR raises a Jira ticket for the platform team to create Bronto accounts for new engineers — typically takes 1-2 business days.

    Human Resources Agent
    0 min
    Agent provisions access on day one

    The agent creates the Bronto account when the HRIS notifies of a new hire, sends the invitation, and confirms access is live — all before the engineer's first standup.

  • Finance
    45 min / week
    Manual cost attribution from engineering reports

    Finance waits for engineering to pull Bronto usage data, format it, and send it over — typically arrives 2-3 days after the billing period closes.

    Finance Agent
    0 min
    Agent attributes costs on the first of the month

    The agent pulls Bronto usage metrics by service and team on the first of each month, writes the attribution to the cost sheet, and posts the digest to #infra-costs — finance has the data before the budget meeting.

  • Operations
    60 min / week
    Manual monitor configuration and review

    The ops team manually creates and tunes Bronto monitors via the dashboard, reviews the monitor list before each release, and checks which monitors fired in the past week by hand.

    Operations Agent
    0 min
    Agent manages the monitor fleet automatically

    The agent creates monitors on deployment events, lists and validates them before releases, and posts a weekly monitor-health digest to Slack — the ops team reviews outcomes, not dashboards.

  • Legal
    30 min / week
    Manual log export requests for compliance

    Legal raises export requests with engineering for each data-subject access request, then waits for the export link to arrive via email — often taking a full business day.

    Legal Agent
    0 min
    Agent exports and delivers log data same-day

    The agent creates the export job, polls for completion, and posts the download link to the compliance channel the same day the request is logged — DSAR turnaround measured in hours, not days.

+ 100s of other Bronto automations
Average time saved
36 hrs / person / month
Calculator

Calculate what your team saves

Team size
5 people
Hourly rate
$75 / hr
Hours saved / week
13
Hours saved / year
625
Annual ROI
$46,875

Based on Bronto's typical team usage — the visible tasks plus a few other automations the agent runs: ~2.5 hrs / person / week of admin work automated.

Connect

How to plug Bronto into Actionist

Pick the connection method that suits your environment.

Generate an API key in your Bronto account settings and paste it into Actionist. The key is sent as the X-BRONTO-API-KEY header on every request — no OAuth window required.

1
Open API Keys in Bronto

Log in to Bronto, navigate to Account Settings, and click API Keys in the sidebar.

2
Create a new key

Click Create API Key, give it a descriptive name (e.g. 'Actionist'), and copy the key before closing the dialog — it is only shown once.

3
Paste into Actionist

Paste the key into the API Key field below and click Test connection. Actionist runs a read-only logs list call to confirm the handshake.

Credentials you'll need
API Key*
Bronto → Account Settings → API Keys → Create API Key
Actions

16 actions your agent can call

Read and write operations available to your Actionist agent.

Triggers

0 events your agent can react to

Events your agent watches for, and the actions it kicks off in response.

This app has no triggers yet.
FAQs

Questions about Bronto + Actionist

How does Actionist connect to Bronto?
Go to the Apps tab, find Bronto, and click Connect. The only connection method is API key. In Bronto, navigate to Account Settings → API Keys, click Create API Key, give it a name like 'Actionist', and copy the key — it is only displayed once. Paste the key into Actionist and click Test connection. Actionist runs a read-only List Logs call to confirm the handshake before any agent task runs.
What permissions does the Bronto API key need?
Bronto API keys inherit the permissions of the account they are created under. For read-only agent tasks (queries, log listing, usage metrics, user listing, monitor listing) a viewer-level account is sufficient. For write operations (creating monitors, managing users, creating exports, managing API keys) the key needs admin or operator permissions. Create a dedicated service account with only the permissions the agent actually uses rather than using a personal admin key.
Can the agent query logs from specific time ranges?
Yes. The Execute Query action accepts both relative time ranges (such as 'Last 1 hour') and absolute Unix timestamps in milliseconds via from_ts and to_ts parameters. You can scope a query to a precise window — for example, the 30 minutes surrounding an incident — or run a rolling daily query. Results are paginated up to 6,666 events per call, with a pagination link for subsequent pages.
Can I combine Bronto with other apps in the same agent workflow?
Yes. Bronto is most powerful when combined with the tools where log insights need to land. Common patterns: post query results to Slack when a monitor fires, write usage breakdowns to Google Sheets for cost attribution, create Notion incident logs when errors spike, or trigger a PagerDuty alert when a threshold is crossed. Any of Actionist's connected apps can send or receive data alongside Bronto in the same scheduled agent task.
Does Actionist support Bronto's SQL query syntax and aggregations?
Yes. The Execute Query action passes your query string directly to the Bronto search API, which accepts a SQL subset including WHERE filters, GROUP BY, aggregate functions (COUNT, SUM, AVG, MIN, MAX), and ORDER BY. You can write the same queries you use in the Bronto dashboard, and the agent returns the same structured results — events, groups, and time-series buckets — for use in downstream steps.
How quickly does the agent detect when a Bronto monitor fires?
Bronto delivers monitor notifications via webhook within about a minute of a threshold being crossed. Actionist picks up the webhook event and starts the downstream agent task in the same window. There is no polling delay on the Actionist side — the agent reacts as soon as the webhook payload arrives. End-to-end, from a threshold crossing to a Slack message, you can expect under two minutes in normal conditions.
Can I automate Bronto user management for engineering team onboarding and offboarding?
Yes. The Create User and Deactivate User actions make it practical to wire Bronto access into your HR onboarding and offboarding workflows. A common pattern: when a new engineer is added to the HRIS (or a Slack #hr-onboarding message fires), the agent creates their Bronto account with the appropriate role and posts confirmation. On offboarding, the agent deactivates the account on the last day as part of the access-revocation checklist. The List Users action lets the agent cross-reference the user roster against the employee directory for quarterly access reviews.
How does the agent handle large log exports for compliance?
Bronto processes exports asynchronously. The agent first calls Create Export to submit the job, specifying the log source and time range. It then polls Get Export Status on a schedule — typically every few minutes — until Bronto marks the export complete and returns a download link. The agent delivers the link to Slack or writes it to the compliance tracker automatically, without any manual dashboard visits. Export time depends on the volume of data; most exports under 1 TB complete within minutes.