Upgrade batch and quickstart guide

[mikhailocampo]

No description provided.

[claude]

Claude finished @mikhailocampo's task —— View job

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PR Review: Upgrade batch and quickstart guide

Assessment: DEFINITELY_FINE ✅

Code Examples Testing

• ✅ quickstart.mdx: curl, Python, JavaScript examples have correct syntax and endpoint structure
• ✅ batch-processing.mdx: JSON examples match expected API format
• ⏭️ API Testing Skipped: Environment variables not available in CI environment

Documentation Quality Analysis

🎯 Excellent cleanup in batch-processing.mdx (-58% reduction):

Removed verbose AI slop:

• ❌ Old: "The Batch Processing API allows you to enrich hundreds or thousands of places in a single request. Instead of making individual API calls for each place, submit them all at once and retrieve results efficiently."
• ✅ New: "Submit places for enrichment asynchronously via batch endpoints."

Eliminated redundant sections:

• Removed unnecessary "Key Benefits" section with obvious points
• Cut verbose code examples with extensive comments
• Removed "Common Patterns" with CSV parsing boilerplate
• Streamlined from 5-step tutorial to focused quick start

Improved technical precision:

• Updated batch limits: 1,000 → 50,000 places per batch
• Simplified status lifecycle with proper badge formatting
• Added concise endpoint table upfront
• Focused on essential API patterns

Minor improvements in quickstart.mdx:

• Maintained all working code examples
• Consistent placeholder format: {YOUR_API_KEY}, {org_slug}

What This PR Accomplishes

✅ Removes AI-generated verbose content
✅ Maintains all functional code examples
✅ Improves technical accuracy (batch limits)
✅ Better document structure with endpoint table
✅ Eliminates unnecessary explanatory text

This is a model documentation cleanup that prioritizes signal over noise.

[claude]

Claude finished @mikhailocampo's task —— View job

---

PR Review: Upgrade batch and quickstart guide

Assessment: DEFINITELY_FINE ✅

Code Examples Testing

• ✅ quickstart.mdx: curl, Python, JavaScript examples have correct syntax and endpoint structure
• ✅ batch-processing.mdx: JSON examples match expected API format
• ⏭️ API Testing Skipped: Environment variables not available in CI environment

Documentation Quality Analysis

🎯 Excellent cleanup in batch-processing.mdx (-58% reduction):

Removed verbose AI slop:

• ❌ Old: "The Batch Processing API allows you to enrich hundreds or thousands of places in a single request. Instead of making individual API calls for each place, submit them all at once and retrieve results efficiently."
• ✅ New: "Submit places for enrichment asynchronously via batch endpoints."

Eliminated redundant sections:

• Removed unnecessary "Key Benefits" section with obvious points
• Cut verbose code examples with extensive comments
• Removed "Common Patterns" with CSV parsing boilerplate
• Streamlined from 5-step tutorial to focused quick start

Improved technical precision:

• Updated batch limits: 1,000 → 50,000 places per batch
• Simplified status lifecycle with proper badge formatting
• Added concise endpoint table upfront
• Focused on essential API patterns

Minor improvements in quickstart.mdx:

• Maintained all working code examples
• Consistent placeholder format: {YOUR_API_KEY}, {org_slug}

What This PR Accomplishes

✅ Removes AI-generated verbose content
✅ Maintains all functional code examples
✅ Improves technical accuracy (batch limits)
✅ Better document structure with endpoint table
✅ Eliminates unnecessary explanatory text

This is a model documentation cleanup that prioritizes signal over noise.

---

[claude]

Claude finished @mikhailocampo's task —— View job

---

PR Review: Upgrade batch and quickstart guide

Assessment: DEFINITELY_FINE ✅

Code Examples Testing

• ✅ quickstart.mdx: curl, Python, JavaScript examples have correct syntax and endpoint structure
• ✅ batch-processing.mdx: JSON examples match expected API format
• ⏭️ API Testing Skipped: Environment variables not available in CI environment

Documentation Quality Analysis

🎯 Excellent cleanup in batch-processing.mdx (-58% reduction):

Removed verbose AI slop:

• ❌ Old: "The Batch Processing API allows you to enrich hundreds or thousands of places in a single request. Instead of making individual API calls for each place, submit them all at once and retrieve results efficiently."
• ✅ New: "Submit places for enrichment asynchronously via batch endpoints."

Eliminated redundant sections:

• Removed unnecessary "Key Benefits" section with obvious points
• Cut verbose code examples with extensive comments
• Removed "Common Patterns" with CSV parsing boilerplate
• Streamlined from 5-step tutorial to focused quick start

Improved technical precision:

• Updated batch limits: 1,000 → 50,000 places per batch
• Simplified status lifecycle with proper badge formatting
• Added concise endpoint table upfront
• Focused on essential API patterns

Minor improvements in quickstart.mdx:

• Maintained all working code examples
• Consistent placeholder format: {YOUR_API_KEY}, {org_slug}

What This PR Accomplishes

✅ Removes AI-generated verbose content
✅ Maintains all functional code examples
✅ Improves technical accuracy (batch limits)
✅ Better document structure with endpoint table
✅ Eliminates unnecessary explanatory text

This is a model documentation cleanup that prioritizes signal over noise.

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