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V1.0.6 Updated Readme and added hoppscothjson
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README.md

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@@ -271,12 +271,29 @@ curl -X POST https://api.datascreeniq.com/v1/screen \
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## ⚡ Try instantly (no setup)
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👉 [Run in Hoppscotch](https://hopp.sh/r/iz3I5azNRZY4)
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👉 [![Run in Hoppscotch](https://img.shields.io/badge/Run%20in-Hoppscotch-0b5c42?logo=hoppscotch&logoColor=white)](https://hoppscotch.io/?method=POST&url=https%3A%2F%2Fapi.datascreeniq.com%2Fv1%2Fscreen&headers=%5B%7B%22key%22%3A%22X-API-Key%22%2C%22value%22%3A%22YOUR_API_KEY_HERE%22%7D%2C%7B%22key%22%3A%22Content-Type%22%2C%22value%22%3A%22application%2Fjson%22%7D%5D&body=%7B%22source%22%3A%22orders%22%2C%22rows%22%3A%5B%7B%22order_id%22%3A%22ORD-001%22%2C%22amount%22%3A99.5%2C%22email%22%3A%22alice%40corp.com%22%7D%2C%7B%22order_id%22%3A%22ORD-002%22%2C%22amount%22%3A150.0%2C%22email%22%3A%22bob%40corp.com%22%7D%5D%7D)
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1. Paste your API key
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1. Paste your API key, Update the JSON from below in the Body
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2. Click Send
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3. See PASS / WARN / BLOCK instantly
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```JSON
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{
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"source": "orders",
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"rows": [
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{
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"order_id": "ORD-001",
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"amount": 99.5,
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"email": "alice@corp.com"
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},
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{
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"order_id": "ORD-002",
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"amount": 150.0,
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"email": "bob@corp.com"
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}
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]
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}
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```
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## Large files — auto chunking

datascreeniq/__init__.py

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DataQualityError,
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)
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__version__ = "1.0.5"
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__version__ = "1.0.6"
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__all__ = [
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"Client",
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"ScreenReport",

pyproject.toml

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[project]
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name = "datascreeniq"
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version = "1.0.5"
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version = "1.0.6"
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description = "Real-time data quality screening API — PASS / WARN / BLOCK in under 10ms"
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readme = "README.md"
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license = { text = "MIT" }

setup.py

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setup(
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name="datascreeniq",
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version="1.0.5",
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version="1.0.6",
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description="Real-time data quality screening API — PASS / WARN / BLOCK in milli seconds",
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long_description=long_description,
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long_description_content_type="text/markdown",

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