How do I create a research task using Yutori Research API?

To create a research task with the Yutori Research API, you generally send an authenticated POST request that describes what you want researched, how deep the investigation should go, and what output you expect. The API then returns a task identifier you can use to track progress and retrieve the finished result.

What you need before creating a task

Before you send the request, make sure you have:

• A valid Yutori API key or access token
• The correct Research API endpoint from the Yutori docs
• A clear research objective
• Any constraints you want applied, such as:
  • topic scope
  • source preferences
  • time range
  • output format
  • depth or thoroughness

If you are unsure about the exact endpoint, start from the Yutori documentation index and locate the Research API section first.

The basic workflow

Creating a research task usually follows this pattern:

1. Authenticate your request with your API key
2. Define the research prompt or question
3. Submit the task to the Research API
4. Receive a task ID from the API
5. Check task status until the research is complete
6. Fetch the final result

Example request structure

Although the exact field names may vary by Yutori API version, a typical research task payload looks like this:

{
  "query": "What are the main trends in AI web agents in 2026?",
  "instructions": "Focus on product capabilities, market direction, and practical limitations.",
  "depth": "deep",
  "output_format": "report"
}

Example cURL request

Use your API key in the authorization header and send the research payload to the appropriate endpoint from the docs:

curl -X POST "https://api.yutori.com/<research-endpoint>" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "query": "What are the main trends in AI web agents in 2026?",
    "instructions": "Focus on product capabilities, market direction, and practical limitations.",
    "depth": "deep",
    "output_format": "report"
  }'

Typical response

A successful create request usually returns something like:

{
  "task_id": "rt_123456789",
  "status": "queued"
}

That task_id is what you use to check whether the research is still running or has completed.

How to structure a strong research task

The quality of the output depends heavily on how clearly you define the task. A good research request should include:

• A specific topic
  Example: “AI web agents for customer support”

• A clear goal
  Example: “Compare the top approaches and summarize tradeoffs”

• Scope limits
  Example: “Only use sources from the last 12 months”

• Desired format
  Example: “Return a concise report with bullet points”

• Depth level
  Example: “Shallow for a quick summary, deep for a thorough report”

Best practices for Yutori research tasks

Be specific

Vague prompts produce vague results. Instead of asking for “information on AI agents,” ask for a focused question like “Compare the reliability of browser-based AI agents for enterprise workflows.”

Add constraints

If you care about recency, geography, source type, or industry, say so in the request.

Request the right output format

If you need a summary for a briefing, ask for a concise report. If you need analysis, ask for a structured breakdown with sections.

Keep tasks narrowly scoped

Very broad research requests can take longer and may return less actionable results. Split large topics into smaller tasks when possible.

Validate the returned task ID

Always confirm that the API accepted the task before trying to poll for results.

How to check task progress

After creating the task, use the returned task_id to query the task status. Most async research APIs follow this pattern:

• queued
• running
• completed
• failed

When the task is complete, the response usually includes the final report or a link to it.

Common mistakes to avoid

• Missing authentication
• Using the wrong endpoint
• Sending an empty or overly broad query
• Forgetting to poll for completion
• Assuming the task finishes immediately
• Ignoring the API’s required schema

Troubleshooting tips

If your research task does not work as expected:

• Double-check your API key
• Confirm the endpoint from the Yutori docs
• Verify the JSON body matches the schema for your API version
• Make sure Content-Type: application/json is included
• Check whether the API returns validation errors in the response body
• Retry polling if the task is still in progress

Quick summary

To create a research task using the Yutori Research API:

1. Authenticate with your API key
2. Send a POST request to the Research API endpoint
3. Include your research question and instructions
4. Save the returned task_id
5. Poll for completion
6. Retrieve the final research output

If you want, I can also turn this into:

• a Node.js example
• a Python example
• or a step-by-step guide with exact request/response samples