OpenSearch AI employee
A Superkind AI employee that queries data, creates analyses, corrects documents, and monitors outliers in OpenSearch. Message it in Teams or Outlook, it does the work in OpenSearch and reports back with the result. Sensitive actions wait for your approval.
- Hosted in the EU
- GDPR data processing agreement
- Ready to start today
- Works in Teams, Slack and more
What is a OpenSearch AI employee?
An OpenSearch AI employee is an AI that connects to your OpenSearch account and completes work in it. It queries documents, analyses indexes, checks the cluster, and creates reports. Superkind builds this AI employee with your company knowledge and delivers the finished result to wherever your team works.
Unlike workflow builders such as Zapier or Make, there is nothing to configure. No triggers, no scenarios, nothing to maintain. You describe the outcome in plain English, the AI employee picks the right OpenSearch actions, chains them with your other systems, and asks for your approval before sensitive actions.
OpenSearch is an open source suite for search, analytics, and observability with indexes, documents, dashboards, and alerting.
You ask in Teams
Describe the data or analysis you need in plain English.
Superkind picks the actions
Selects the right OpenSearch actions and chains them together.
Superkind works in OpenSearch
Searches documents, creates aggregations, and checks cluster health. Your real data.
Superkind reports back
Delivers the finished table or analysis to Teams or Outlook.
What can you ask Superkind to do in OpenSearch?
Messages you would actually send. Copy one, swap in your specifics, and Superkind takes it from there.
“Query every failed order from today in OpenSearch and deliver the results to me as a table.”
you, to @Superkind“Analyse response times by service and show the five largest changes compared with last week.”
you, to @Superkind“Correct the wrong status on document ID 8421, but wait for my approval before changing it.”
you, to @Superkind“Let me know here as soon as any service error rate differs significantly from its usual daily level.”
you, to @SuperkindHow does Superkind work with OpenSearch?
- Native integrations and connectors for 1,000+ tools
1Connect your systems
Connect OpenSearch securely to Superkind. Add the systems your team already uses: Teams, Outlook, SharePoint, Linear, or Jira. Superkind uses only the permissions it needs. Your AI employee can then query the agreed indexes.
@Superkind analyse the checkout errors since 8:00 AM in OpenSearch and save the query as a search template.
On it. I am checking the logs-prod index and creating the search template.
2Tell Superkind what you need
Message your AI employee in Teams like a colleague. Ask for a table from OpenSearch or an analysis of unusual response times. Superkind translates your goal into the right queries. Questions and results stay directly in Teams.
- Index “logs-prod” analysed
- 17 checkout outliers since 8:00
- Search template “checkout-outliers” created
Search template “checkout-outliers”Waiting for your approvalActivate the outlier monitor?3Superkind operates, you approve
Superkind searches OpenSearch, combines the results, and reports what it found in Teams. Read-only tasks run independently. Changes to documents, indexes, or access rights wait for your approval. Every step is logged.
What can Superkind do in OpenSearch?
Ask in plain English from Teams or Outlook. Superkind picks the right OpenSearch actions, completes the work, and reports back. No workflows to build.
Get document
Reads a document from OpenSearch by index and document ID.
Get multiple documents
Reads several documents in one request with the Multi Get API.
Index document
Writes a new document with fields and a document ID to an index.
Update document
Changes selected fields of an existing OpenSearch document.
Delete document
Removes a document by index and document ID.
List indexes
Lists OpenSearch indexes with health, document count, and storage size.
Get mapping
Shows the fields and data types in an index mapping.
Get settings
Reads shards, replicas, and other settings for an index.
Resolve alias
Shows which indexes an OpenSearch alias points to.
Create index
Creates an index with a mapping, shards, replicas, and an alias.
Run query
Searches OpenSearch documents with Query DSL, filters, and sorting.
Create aggregation
Groups documents and calculates metrics with OpenSearch aggregations.
Count hits
Counts matching documents across one or more indexes.
Run search template
Runs a stored search template with the requested parameters.
Explain query
Uses Explain to show why a document matches a query.
Check cluster health
Reads OpenSearch cluster health with status, nodes, and active shards.
Get cluster stats
Summarises documents, storage, indexes, and nodes across the cluster.
Get node stats
Shows JVM, CPU, memory, and file system metrics for OpenSearch nodes.
Check shard allocation
Lists primary and replica shards with node, state, and storage size.
List snapshots
Lists repository snapshots with state, indexes, and start time.
Create snapshot
Creates an OpenSearch snapshot of selected indexes in a repository.
Check ISM policies
Reads Index State Management policies and the current state of managed indexes.
Get anomalies
Reads detected anomalies and confidence scores from the Anomaly Detection API.
Get monitor status
Shows alerting monitors, triggers, and the status of their latest execution.
List security roles
Lists roles, cluster permissions, and index permissions from the Security plugin.
Assign role
Assigns an OpenSearch security role to a user or backend role.
Superkind uses OpenSearch together with your other systems
Ask for outcomes that span tools. The AI employee pulls data from OpenSearch, cross-references it with GitHub, Jira, or Linear, and delivers the finished result in Teams or Outlook.
Superkind AI employees that work with OpenSearch
Every role brings its expertise and uses OpenSearch as one of its tools.
Companies working with Superkind
Frequently asked questions
Everything you need to know about your AI employee for OpenSearch.
Yes. Superkind connects OpenSearch through a managed connector. Once connected, your team can put the AI employee to work with indexes, documents, queries, and cluster information from Teams or Outlook. There is no workflow builder and no custom code. The AI employee receives only the permissions required for the agreed tasks.
An admin provides the OpenSearch endpoint and a secure sign-in, such as a service account with suitable roles. Together, we select the permitted indexes and actions and test the connection. OpenSearch is then available to the AI employee in Teams and Outlook. Credentials are stored securely and never need to be shared in messages.
It can search and retrieve documents, run Query DSL requests, create aggregations, read mappings and index settings, check cluster health, and evaluate snapshots, ISM policies, anomalies, and alerting monitors. With your approval, it can also change documents, create indexes, take snapshots, or assign security roles. You define the specific tasks during onboarding.
No. With Zapier or Make, you build triggers, filters, and individual steps and maintain them when things change. With the AI employee, you describe the desired outcome in plain English. Superkind picks the right OpenSearch actions itself, combines them with Teams, Outlook, Jira, or GitHub when needed, and asks when information is missing.
Only with your approval. Superkind can handle read-only queries, tables, and analyses independently. Changes or deletions to production documents, new indexes, snapshots, and access rights wait for a yes from a responsible person in Teams. Your team decides which OpenSearch actions are sensitive and who is allowed to approve them.
Superkind is hosted in the EU and signs a GDPR data processing agreement with you. The AI employee uses minimal OpenSearch permissions, such as access to selected indexes and read-only API rights. Your data is not used for training. Access and actions are logged, so you can trace queries, changes, and approvals at any time.
OpenSearch itself is open source and has no licence fee. Managed hosting is billed by compute and storage and often sits in the low hundreds of euros per month for production setups. Zapier starts at about 20 euros and Make at about 10 euros per month, both plus setup time. Superkind is priced per use case, a fraction of a full-time hire.