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Parallel

Turns unstructured web data into schema compliant records by running parallel research tasks and streaming the structured results directly into your database.

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Why use Ceven?

  1. AI native Parallel integration

    • Describe the outcome and Ceven picks the right Parallel calls, fills the parameters, and checks the result.
    • Structured, agent friendly tool schemas so each call runs reliably instead of by guesswork.
    • Rich coverage for reading, writing, and querying your Parallel data, across all 32 of its actions.

  2. Managed auth

    • Built in OAuth with automatic token refresh and rotation.
    • One place to manage, scope, and revoke Parallel access.
    • Per user and per environment credentials instead of shared keys.

  3. Agent optimized design

    • Actions are tuned from real success and error rates so reliability climbs over time.
    • Full execution logs so you always know what ran in Parallel, when, and on whose behalf.
    • The agent pauses and asks when Parallel is unclear instead of plowing ahead.

  4. Enterprise grade security

    • Fine grained access so you control which agents and people can reach Parallel.
    • Least privilege by default, read scopes first and only the writes a workflow needs.
    • A full audit trail of every Parallel action to support review and sign off.

Supported tools

Every action Ceven's agents can run on Parallel, and when to use it.

Create Task Group
Use this when batching multiple research tasks for parallel execution to speed up data collection.
Parallel Search
Retrieve top matching documents for multiple queries in a single call to gather broad context.
Retrieve Task Group
Pull the full details and current status of a specific task group using its unique ID.
Stream Task Group Events
Open a stream to receive real time updates on group status and individual task completions.
Suggest Task
Generate specific task specifications from a high level intent based on project context.
Create Task
Launch a single research task with a specific prompt and output schema.
Cancel Task
Stop a running research task to prevent unnecessary credit consumption.
Get Task Result
Fetch the final structured output of a completed research task.
List Task Groups
Pull a list of all recent task groups to monitor overall research progress.
Update Task Group
Modify the metadata or configuration of an existing task group.
Delete Task Group
Remove a task group and its associated history from the Parallel dashboard.
Validate Schema
Check if a proposed output schema is compatible with Parallel extraction logic.

12 actions · scroll to see them all

Frequently asked questions

Ceven manages the wait time by using the Stream Task Group Events action. Instead of polling the API every few seconds, the agent opens a persistent connection that listens for completion signals. When Parallel finishes a specific research task, the event triggers the next step in your Ceven workflow, such as updating a CRM record or sending a notification. This ensures that your workflows run as fast as the web research completes without wasting API credits on repeated status checks. You can also configure the agent to wait for the entire group to finish before proceeding to a final aggregation step.
Yes. When using the Create Task action, you provide a schema that defines exactly which fields you want Parallel to extract, such as company name, headquarters location, or pricing tiers. Ceven passes this schema to Parallel, which then uses its LLM layer to map the unstructured web content into that specific JSON format. If the website does not contain the requested information, Parallel returns a null value for that field rather than guessing. This allows you to maintain high data integrity when piping research results into a database or spreadsheet.
Parallel employs a variety of proxy rotations and browser headers to minimize blocks. If a site successfully blocks the request, the task will return a failure status with a specific error code. Ceven can be configured to handle these failures gracefully. For example, you can build a retry loop that attempts the research again after a delay or flags the specific URL for manual review in a Google Sheet. The agent captures the exact error message from Parallel so you know if the block was due to a CAPTCHA or a forbidden access error.
Yes. Parallel enforces concurrency limits based on your subscription tier. If a Ceven workflow attempts to launch more tasks than your tier allows, Parallel will return a rate limit error. To prevent this, Ceven includes a built in queue manager that throttles task creation to match your specific Parallel plan. If you are on a lower tier, the agent will space out the task requests to ensure every research job eventually completes without triggering a hard block from the API. You can check your current usage directly within the Parallel dashboard.
Standard search returns a list of links for a human to click. Parallel Search performs a semantic retrieval of the actual content within those pages. It does not just find the page; it identifies the specific sections of the page that answer your query. Ceven uses this to feed highly relevant snippets into the next stage of your workflow. This means the agent is not just giving you a URL, but is instead providing the actual data points extracted from the page, which can then be used to make automated business decisions.
While Parallel is primarily for research, you can build a monitoring system by scheduling a Ceven workflow to run a Parallel task at regular intervals. The agent can scrape a specific page, store the result in a database, and then compare the new result against the previous version. If a change in a specific schema field is detected, such as a price increase or a new feature announcement, the agent can trigger an alert. This effectively turns Parallel into a structured change detection tool for any website you need to track.
Parallel fetches the current state of the web at the moment the task is executed. It does not rely on a stale index of the internet. When Ceven triggers a task, Parallel spins up a headless browser to access the live page. This is critical for use cases like monitoring stock levels, current pricing, or breaking news where a few hours of delay would make the data useless. The speed of the result depends on the complexity of the page and the depth of the research required by your prompt.
The Suggest Task tool allows the agent to be flexible with your goals. Instead of you writing a perfect API request, you can tell Ceven something vague like find me all the AI startups in London. The agent then calls the Suggest Task endpoint, providing the context of your request. Parallel returns a set of optimized task specifications, including the best search queries and schemas to use. Ceven then automatically executes those suggested tasks, meaning you can move from a high level idea to a structured dataset without manually designing the research plan.

Alternatives to Parallel

Other tools that solve a similar problem. Ceven supports these too, so you can switch or run more than one at once.

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