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How to Integrate the Precision API into Your Application

· 5 min read
How to Integrate the Precision API into Your Application
AI Precision and Accuracy

Whether you're running a content platform, a chatbot product, or a QA system backed by large language models, you need to evaluate LLM outputs automatically, reliably, and at scale. That’s exactly what the Precision API enables.

With a simple POST request, you can send your LLM responses to Precision for evaluation—and get structured feedback, scoring, and analysis directly in your application. Available 24/7, our API helps you embed intelligent LLM evaluation into any pipeline, product, or development workflow.

⚙️ What You Can Do with the Precision API

  • Evaluate LLM-generated responses on demand

  • Use multiple agents to get diverse evaluation perspectives

  • Automatically score and analyze responses with word-level insights

  • Embed the feedback loop into your product, testing workflow, or backend

📥 API Endpoint

Here's the Precision API endpoint for triggering evaluations:

POST https://precisionapp.ai/api/v1/agents/webhook

🧾 Example cURL Request

curl for integration

🔑 Where to Get Your API Values

To connect properly, you’ll need:

✅ Team UUID and User ID

Go to: 📍 Dashboard → Integration 📷 Upload Image Here (placeholder for integration screen)

✅ Agent UUIDs

You can evaluate with one or more agents. Each agent has a unique ID, available in its detail view. Go to: 📍 Dashboard → Agents → Agent Details 📷 Upload Image Here (placeholder for agent detail UI)

📤 Request Payload Structure

Field

Type

Required

Description

questions

Array

✅ Yes

One or more question-answer objects

agents

Array

✅ Yes

One or more agent UUIDs

teamUuid

String

✅ Yes

Team identifier (from integration page)

userId

String

✅ Yes

Your Precision user ID (from integration)

Each object inside questions should include:

jsonCopyEdit{ "question": "Your input prompt", "answer": "LLM’s generated answer" }

📈 Sample API Response

Once the evaluation is complete, you’ll receive a response like this:

api response

Breakdown of Key Fields:

  • accuracy: Score from 0–10

  • analysis: A short explanation of the evaluation

  • highlighted_answer: HTML-compatible string with color highlights

    • 🔴 Red = poor/incorrect segments

    • 🟡 Yellow = average/filler content

    • 🟢 Green = strong, relevant points

🔁 Use Cases

  • Integrate into your LLM-based chatbot backend

  • Run real-time evaluations during customer support interactions

  • Batch-process user-submitted content for quality control

  • Embed feedback into fine-tuning pipelines

🛡️ Always-On Reliability

The Precision API is available 24/7, built to scale with your needs. Whether you're evaluating a few answers per hour or thousands per day, our infrastructure can handle it—consistently and securely.

✅ Get Started Now

Log in to your Precision dashboard and grab your:

  • ✅ teamUuid and userId from the Integration tab

  • ✅ Agent UUIDs from the Agents section

📎 Go to Dashboard: 👉 https://precisionapp.ai/dashboard/integration

Coming Soon

Stay tuned for:

  • SDKs in Python and JavaScript

  • Webhooks for async responses

Need help setting it up? Our team’s got you back—reach out anytime via the support tab.

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