Install Jentic One Beta
Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the Count Public API, or any other public or private API you need. You set the rules, the agent never sees your credentials, and every call is logged.
Two steps, two machines. Install the instance in a safe environment, then register your agent from wherever it runs.
Step 1: Jentic One Host machine
# On the machine that will host your Jentic One instance:
curl -fsSL "https://jentic.com/install.sh?src=apis&api=%2Fapis%2Fcount.co%2Fcount" | shStep 2: Agent machine
# On the machine where your agent runs (keep this separate from the instance):
curl -fsSL "https://jentic.com/install.sh?src=apis&api=%2Fapis%2Fcount.co%2Fcount" | sh
jentic register # connects your agent to your Jentic One instanceJentic One is in public beta. The setup above keeps your agent separate from the instance, which is what you want before using real credentials: an agent running as the same OS user as Jentic One can read its stored keys directly. Just evaluating? A single local install is fine to start. See the secure deployment guide for the tiers.
What an agent can do with Count Public API.
Run a SQL query against a connected warehouse and retrieve the resulting job key
List canvases in a workspace and fetch a specific canvas by key
Browse catalogs of curated tables and connections
Refresh schema and metadata for a connected data source
Export query results as a downloadable CSV file
GET STARTED
Search workspace content and list workspace members
Create an agent on a canvas to automate analysis tasks
Patterns agents use Count Public API for, with concrete tasks.
★ Automated SQL Reporting
Trigger SQL queries in Count programmatically and pull the results into downstream pipelines or scheduled reports. The API accepts a query, returns a job key, and exposes a CSV export endpoint so the same query can feed a BI dashboard, an email digest, or a data warehouse load. Suitable for teams that already model data in Count and want to reuse those queries outside the canvas UI.
Submit a SQL query to POST /v1/queries, poll GET /v1/queries/{job_key} until complete, then call POST /v1/queries/{job_key}/create_csv to obtain the CSV file
Canvas and Catalog Inventory
Build an inventory of every canvas, catalog, and connection in a Count workspace for governance or documentation purposes. The API exposes paginated list endpoints for canvases, catalogs, projects, and connections, and a workspace search endpoint for cross-resource lookup. Useful when migrating between BI tools or producing a catalogue of analytical assets.
Call GET /v1/canvases, GET /v1/catalogs, GET /v1/projects, and GET /v1/connections and produce a JSON manifest of every asset keyed by resource type
Connection Health Monitoring
Keep Count connections in sync with upstream warehouses by refreshing metadata and schemas on a schedule. The API exposes refresh_metadata and refresh_schema endpoints per connection, so an agent can detect when a connected source has changed and trigger a refresh before users open the canvas. Reduces stale-schema errors during analyst sessions.
List all connections via GET /v1/connections then call POST /v1/connections/{connection_key}/refresh_schema for each connection that has not been refreshed in the last 24 hours
AI Agent Analytics Workflow
Let an AI agent answer business questions by running SQL against a Count workspace through Jentic. The agent searches for the right operation in plain English, loads the schema, runs a query, and returns either the job key or the CSV. Because credentials live in your Jentic One instance, the agent never sees the raw bearer token. End-to-end integration takes under an hour rather than several days.
Use Jentic to search for 'run a query in Count', load the operation schema for POST /v1/queries, execute it with a user-supplied SQL string, and return the job_key
17 endpoints — the count public api lets developers and ai agents interact with a count workspace programmatically, exposing canvases, catalogs, connections, projects, queries, and workspace members across 17 endpoints.
METHOD
PATH
DESCRIPTION
/v1/queries
Run a SQL query and obtain a job key
/v1/queries/:job_key
Get the status and result of a query job
/v1/queries/:job_key/create_csv
Create a CSV file from a completed query
/v1/canvases
List canvases in the workspace
/v1/connections
List data connections
/v1/connections/:connection_key/refresh_schema
Refresh the schema for a connection
/v1/workspaces/search
Search across workspace content
/v1/queries
Run a SQL query and obtain a job key
/v1/queries/:job_key
Get the status and result of a query job
/v1/queries/:job_key/create_csv
Create a CSV file from a completed query
/v1/canvases
List canvases in the workspace
/v1/connections
List data connections
/v1/connections/:connection_key/refresh_schema
Refresh the schema for a connection
/v1/workspaces/search
Search across workspace content
What agents get from Jentic-routed access to this vendor.
Setup
Wiring the Count Public API by hand means learning its bearer auth, pinning the api.app.count.co v1 host, and coding your own poll loop against the async query job flow. Through Jentic you install once, import the Count API from the API Directory, store the token once, and your agent calls it.
Permission scoping
Count puts the job and connection keys in the URL path (/v1/queries/:job_key, /v1/connections/:connection_key/refresh_schema), so a rule can pin your agent to one query job or connection: it acts only on that resource. You choose the operations it may call, so changes like refreshing a connection schema are not included unless you add them.
Credential isolation
Your Count token is stored once, encrypted, by your own Jentic One instance and injected at execution time. It never enters the agent's prompt, logs, or context.
Intent-based discovery
Agents search Jentic by intent such as 'run a SQL query' or 'export results to CSV', and Jentic returns the matching Count operation with its input schema so the agent calls the right endpoint without browsing the reference docs.
Alternatives and complements available in the Jentic catalogue.
Specific to using Count Public API through Jentic.
What authentication does the Count Public API use?
The Count Public API uses HTTP bearer authentication. You generate a workspace API key in Count and pass it as `Authorization: Bearer <key>` on every request. When called through Jentic, the key is stored in your encrypted Jentic One instance and the agent receives a scoped session token rather than the raw key.
Can I run arbitrary SQL with the Count Public API?
Yes. POST /v1/queries accepts a SQL string and runs it against the workspace's connected warehouse, returning a job key you can poll with GET /v1/queries/{job_key} until the job finishes. The result can then be exported as CSV via POST /v1/queries/{job_key}/create_csv.
What are the rate limits for the Count Public API?
Count does not publish hard rate limits in the OpenAPI spec, but workspace plans determine concurrent query and connection refresh quotas. Treat it as best practice to keep query polling intervals at 2-5 seconds and avoid more than a handful of concurrent refresh_schema calls.
How do I export a Count query as CSV through Jentic?
Search Jentic for 'export count query as csv', load the schema for POST /v1/queries/{job_key}/create_csv, then execute it with the job_key returned by your earlier query. Jentic handles the bearer credential and returns the CSV download URL.
Does the Count Public API support webhooks or events?
No. The current spec only exposes synchronous REST operations across canvases, catalogs, connections, projects, queries, and workspaces. To detect query completion you poll GET /v1/queries/{job_key}.
Can agents create new canvases via the Count Public API?
The spec does not include a create-canvas endpoint, but it does expose POST /v1/canvases/agent which creates an agent on a canvas. For full canvas authoring, use the Count UI.
Can I limit what my agent is allowed to do with the Count Public API?
Yes. Because you run Jentic One yourself, your own rules decide which Count operations the agent may call and which token it may use, so you can allow read-only calls like GET /v1/canvases and POST /v1/queries while withholding write actions such as POST /v1/connections/{connection_key}/refresh_schema. Count also puts the job and connection keys in the URL path, so a rule can pin the agent to a single query job or one connection and nothing else. The token is stored in your own instance and injected only for the operations you have permitted.
For Agents
Run SQL queries, list canvases and catalogs, refresh data connections, and export results from a Count workspace. Suitable for automated reporting and exploratory analytics workflows.
Use for: I need to run a SQL query against a connected warehouse in Count, List all canvases in my Count workspace, Get the latest schema for a Count data connection, Export a Count query result as a CSV file
Not supported: Does not handle data warehousing, ETL transformations, or dashboard rendering - use for SQL execution and canvas/connection management in a Count workspace only.
The Count Public API lets developers and AI agents interact with a Count workspace programmatically, exposing canvases, catalogs, connections, projects, queries, and workspace members across 17 endpoints. Agents can run SQL queries against connected data sources, list and inspect canvases, refresh connection metadata or schemas, and export query results to CSV. The API is designed around the data canvas model rather than dashboards, so it suits exploratory analytics, automated reporting, and pipelines that need to read or trigger query jobs in Count.