The Headless Data Platform for Complex Operations
Structured records with history, metrics, and access built in.
Model reusable attributes, assemble templates, and run the work on top of them. See who changed what, chart metrics over time, and keep alerts, permissions, and related records in the same system.
Server record
web-eu-03
Dimension
Owner: Platform
List
Tier: Production
Reference
Cluster: EU edge
Metric
CPU: 84.2%
Timeline
Metric history stays attached to the record instead of living in another tool.
Latest changes
13 minutes ago
Automation
If CPU stays above 85% for 5 minutes, notify the on-call channel.
The same record carries the current state, the historical evidence, and the event that triggers action.
Why teams outgrow generic tools
When records change constantly, the spreadsheet view of the world starts to break.
Operations drift
The current record is visible, but the path that led there is not.
A server changes owner, status, and thresholds across several tools. Teams can see the latest value, but not the sequence behind it.
Compliance & Audit Trail Gaps
Sensitive changes turn into Slack archaeology and guesswork.
When a value shifts, compliance-ready backend solutions require author, timestamp, and an immutable audit log, not a vague memory that someone updated it last week.
Fragmented Data Platform
Metrics, record context, and alerts live in different systems.
The chart exists in monitoring software, the webhook fires somewhere else, and the custom database API record itself is left without historical context.
Omnismith keeps the record, its change history, its metric trail, and the response around it in one place, so teams can review the full sequence without reconstructing it later.
Product model
One record can hold the current state, the historical trail, and the action that follows.
Omnismith is designed for data that changes under real work. You define structure once, reuse it across templates, and keep each entity connected to the changes and signals that matter.
Define once
Attributes become your reusable building blocks
Dimension, metric, list, and reference attributes capture both current state and the kinds of changes that matter later.
Compose structure
Templates turn those blocks into a workflow-ready model
Use the same attributes across servers, assets, vendors, or incidents instead of rebuilding the schema for every new entity type.
Operate daily
Entities stay usable as live records while updates become evidence
The current value stays easy to work with, and the previous states stay attached when someone needs to review what changed.
What updates produce
History
Track who changed what, when, and which fields moved.
Charts
See metric trends per entity instead of exporting context into a separate analytics tool.
Actions
Turn meaningful changes into alerts and workflows without losing the record that caused them.
Product walkthrough
See the real workflows in the docs, including setup, history, charts, dashboards, and automation.
Explore the product walkthroughFrom schema to daily operations
The workflow stays usable even when records need history, metrics, and review.
Omnismith works best when a team needs current state, historical evidence, and automation on the same data. The setup is intentional, but day-to-day work stays close to the records instead of spreading across separate systems.
Model deliberately
01
Define attributes that match the real shape of the work.
Use dimensions for current state, metrics for timelines, lists for controlled states, and references for connected records.
- Dimension, metric, list, and reference attributes
- Reusable building blocks across multiple templates
- CSV import when a workflow already exists somewhere else
Operate confidently
02
Turn those attributes into templates and work with live entities.
Teams can search, filter, switch between table and card views, and open related records without leaving the entity they are already working on.
- Flexible browse views for current-state workflows
- Reference-driven navigation between related records
- Structured templates for servers, assets, vendors, incidents, and more
Observe and react
03
Keep every meaningful change attached to the record that caused it.
History, charts, dashboards, and automations stay tied to the same entity, so the evidence is still there when someone needs to review a change later.
- Author-aware history with filters by field and date
- Per-entity charts with time ranges and aggregation windows
- Alerting and workflows when tracked values cross a threshold
Useful without ceremony
Browse the same records in tables or cards, follow references, and keep the important filters nearby.
Where it fits best
Omnismith fits best where current state is not enough on its own.
Good fits are systems where records need history, connected context, and sometimes metric timelines. The examples below are the clearest starting points.
Operational inventory
Track servers, devices, vendors, and contracts without losing the timeline behind them.
Keep ownership, lifecycle state, warranty context, and related records together with the history that explains the current status.
- Hardware and software inventory
- Lifecycle and contract context
- Field-level auditability
Metric-aware records
Combine infrastructure context and time-based metrics in the same entity.
Push metrics from your systems, chart them on the same server or service, and keep alerts tied to the exact entity that triggered them.
- Per-record metric timelines
- API-driven ingestion
- Automation from meaningful thresholds
Structured backend
Use Omnismith as the data layer behind internal tools and workflow-heavy apps.
Define the schema visually, keep access rules explicit, and let the API expose the same structure to the frontend or integration built around it.
- REST API with OpenAPI spec
- Access tokens and role-based control
- Reusable schema without migration-heavy setup
Compliance and operations
Keep sensitive process records searchable, reviewable, and explainable later.
For approvals, inventories, project portfolios, or internal requests, the important part is often not just what a record says now, but how it got there.
- Search and filterable records
- History when the decision is revisited later
- Clear control over who can change what
Three product pillars
The same model drives the record, its history, and the response around it.
Model
Define reusable structure instead of rebuilding each workflow.
Attributes, lists, references, and templates give teams a shared model before the first entity is created.
- Reusable attributes
- Templates and references
- Import existing data when needed
Observe
Keep current state and evidence on the same entity.
History, charts, dashboards, and filters stay attached to the records teams already manage every day.
- Immutable Audit history
- Per-entity charts
- Dashboards and saved views
Act
Respond with clear permissions, APIs, and automation.
Access control, API tokens, notifications, and webhooks turn important updates into accountable action.
Developer surface
The API follows the same structure your team sees in the UI.
Use personal access tokens to read and update the same templates and entities from scripts, integrations, or custom frontends.
Use natural language to scaffold a model or inspect live data faster.
The assistant is most useful when the team already understands the workflow and wants a quicker first draft or a faster query path. It can suggest a schema, add records, and answer questions against the same model the rest of the product uses.
- ✓ Schema-aware suggestions based on your templates and attributes
- ✓ Useful for multi-step querying and first-draft scaffolding
- ✓ Able to continue across several steps in one conversation
- ✓ Grounded in the same entities, history, and permissions your team already uses
Show me all servers with CPU usage above 80% and list the owners.
I found 4 servers above 80% CPU. Here they are with owner, environment, and cluster context.
Create a load balancer template that uses the same environment and owner fields.
Suggested template: Hostname, Environment, Owner, Cluster, Status, Active Connections, CPU usage, and Linked Services. Want me to scaffold it?
Yes, then add lb-eu-02 in the production cluster.
Done. The template is ready and I created entity "lb-eu-02" linked to the production cluster.
Pricing
Start free. Upgrade when record volume, retention, or automation usage grows.
Free
Perfect for trying things out
Start Free- Entities 150
- Attributes 15
- History retention 7 days
- AI Credits 1,000
- Dashboards 1
- Automations 5
Team
For teams running live workflows
Start Free- Entities 5,000
- Attributes 125
- History retention 30 days
- AI Credits 15,000
- Dashboards 15
- Automations 50
Business
For larger datasets and longer review windows
Start Free- Entities 20,000
- Attributes 300
- History retention 90 days
- AI Credits 50,000
- Dashboards 30
- Automations 100
All plans include: Unlimited users • REST API • 8 languages • Google Sign-In
Frequently asked questions
What counts as an entity? +
Can I upgrade or downgrade anytime? +
What happens if I hit my limit? +
Start with a record that needs more than a spreadsheet can explain.
The free tier is enough to test the model with real records, real history, and a real workflow. No credit card required.
Start FreeQuestions? [email protected]