Datadog
LLM observabilityTrace and evaluate your agent on one observability platform.
See what users ask about, grouped into topics.
Get cost and reliability Insights, each with a dedicated fix.
Datadog vs Brizz
Datadog sees how your agent is running. Brizz makes it better.
Datadog monitors the issues in your agent runs. Brizz discovers the silent failures and your users' unmet needs, and fixes them for you by priority and impact.
Choose Brizz if you need…
- What users ask for, turned into issues and actions
- Issues across quality, performance, cost and usage
- Success measured on every session
- A focused list of what to fix first
- A PR and a follow up for every issue it finds
01how each one works
How each improves your agent.
brizz
Agent evolutionTurn what users ask for into issues and actions.
Find issues across quality, performance, cost and usage, ranked by impact.
Get a PR for every issue, and a flag if it comes back.
02capabilities
Datadog and Brizz, side by side.
Capability
Datadog
brizzFindWhat can be improved
IntentsFinds what users are trying to do, automatically.
◐
✓
Capability gap detectionFinds the gaps between what users ask and what the agent can do, apart from failures.
◐
✓
Issues ranked by impact, with root causeFinds failures and issues automatically, scores each by its impact, and says why it happens.
◐
✓
Shows which users and accounts struggleNames the users and accounts having a bad time.
◐
✓
Finds wasted spend
✓
✓
RankWhat to fix first
Agent Health ScoreOne score for the agent that every issue is ranked against.
×
per-metric dashboards✓
Datadog: per-metric dashboardsCost per issue and per userShows what each issue costs, per issue and per user.
◐
✓
Predicted future gainForecasts what fixing each issue is worth, before you fix it.
◐
✓
FixA PR to approve, and its impact verified
Fixes delivered as pull requestsOpens a small pull request in your code for the issue, which your team reviews and approves.
◐
for cost and reliability issues✓
Datadog: for cost and reliability issuesVerify the impact of each fixChecks in production that a shipped fix worked, and flags an issue that comes back.
✓
for cost and reliability issues✓
Datadog: for cost and reliability issuesReadEvery interaction
Conversation as the unit of analysisReads each conversation or run as a whole.
◐
✓
Metric calculation for every sessionScores success, satisfaction, cost and performance on every session, out of the box.
◐
✓
Tracing and evalsRuns, tests and prompts
Tracing, sessions and costTraces of each run, sessions, metrics, cost and usage: what happened in each run.
✓
✓
Evals, datasets and experimentsDatasets, scorers and experiments that test the agent before a change ships.
✓
×
Prompt managementVersioned prompts with a playground, edited and deployed from the tool.
✓
◐
Full Partial Not offered
Source · Spotted something? Tell us at contact@brizz.ai
Datadog and Brizz, answered
For finding and fixing agent issues, yes. Brizz works on the agent: it finds what users need and what fails, ranks every issue by impact, opens each fix as a PR you approve and checks that it worked.
Insights finds recurring cost and reliability problems, gives a root cause, opens a PR through Fix with Bits, and resurfaces a problem that returns. Brizz runs that loop on everything it finds, including silent failures, capability gaps, slow answers and users who leave midway, and ranks it all by impact.
It does. Patterns groups your production traffic into topics, each with its volume, cost, errors, latency and eval results. Brizz turns what users ask for that the agent can't do into issues, ranks them on one Agent Health Score with what each costs, opens the PR, and flags the issue if it comes back.
It keeps reading the same runs after the merge, compares the week before and after on quality, cost and latency, and reopens the issue if it comes back.
See what Brizz finds in your agent.
Brizz finds what to fix in your agent, ranks it, solves it, and verifies the impact.
Integrates with the stack you already have