Shared agentsCost Management Agent
Full visibility into cloud and AI spend, as the Cost Management Agent attributes, optimizes, and governs at the level of autonomy you choose.
- Cost & Operations Management
//AI Costs
Unit economics for everydollar of AI and token spend.
Spend captured at the token, request, and workflow level, tied to the agent, session, or business outcome that triggered it.
Visibility
Spend visibility
What each model, provider, and workload costs you, refreshed daily.
Anomalies
Anomaly detection
Forecasts flag unusual spikes before they become budget overruns.
Remediation
Automatic remediation
Overpowered models and bloated prompts fixed without waiting on a ticket.
//Overview
How do you track AI and LLM costs?
AI and LLM costs are tracked by capturing spend at the token, request and workflow level and tying it to the agent, session, team or business outcome that triggered it, across every provider you use.
DataObserve Developer unifies AI cost visibility across providers, attributes every dollar to agents and workflows, detects anomalies, enforces budgets and hard limits, and benchmarks cost per outcome so agents stay efficient at scale.
//Know what your AI actually costs
Every provider, every agent, every token
Unified AI cost visibility
Spend across OpenAI, Anthropic, AWS Bedrock, GCP Vertex AI and more, in one place.
Full spend attribution
Cost traced to the agent, session, workflow, team, and business unit.
Budget & governance
Budgets at agent, team, or business-unit level, extending FinOps controls to AI.
Tokenomics & token governance
Cost per token across models, token budgets, and optimization toward outcomes.
//Explore more withDataObserve
More from Developer · Cost & Operations Management
AI Cost Management
Full visibility, optimization, and governance for every dollar of cloud and AI spend.
- Cost & Operations Management
Cloud Costs
Cost anomalies the moment they happen, broken down by provider, with idle resources, rightsizing and commitments handled automatically.
- Cost & Operations Management
Engineering Efficiency
DORA metrics, developer productivity, and AI tool spend, tracked together.
- Cost & Operations Management
//For the Agent DLC
Know what agents cost, and keep it in control
Track spend by agent
Token and inference spend by agent, model, and provider.
Attribute every dollar
To the agent, session, and workflow, rolled up to teams.
Set hard limits
Budgets and limits by agent, team, or business unit.
Benchmark cost per outcome
Compare models to keep agents efficient at scale.
//FAQs
AI Costs: questions teams ask
Which AI providers are covered?
Spend from every connected model provider and gateway is shown in one view, broken down by provider, model, agent and team.
Can we set hard limits on AI spend?
Yes. Budgets and limits can be set by agent, team or business unit, and are enforced in real time.
What is cost per outcome?
Cost per outcome divides AI spend by the result it produced, such as a resolved ticket or shipped feature, so models can be compared on value, not price alone.
Can AI spend be attributed to a business outcome?
Yes. Spend is tied to the agent, session and workflow that triggered it, so it can be rolled up to the outcome it served.
