API Response Weight Analyzer

🔮 Original Tool · tekarab.com

API Response Weight Analyzer

Paste any JSON API response and instantly see its true weight — total size, field-by-field breakdown by bytes, nesting depth, null density, and actionable optimization recommendations. Know exactly why your API response is heavy and how to fix it.

Analyze JSON Response
Load example
Compressed Size Estimates
Heaviest Fields (by byte weight)
Field → bytes → % of total
All Fields
Field PathTypeSize% of Total
Optimization Recommendations

Why API Response Weight Matters

Every extra byte your API sends costs mobile users data, increases latency, and slows down parse time. A response that returns 50 fields when the client needs 5 is a common but invisible performance problem — this tool makes it visible.

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Mobile Data Cost

Mobile users pay for data. Sending unnecessary fields is a silent tax on your users.

Parse Time

Browsers spend real time parsing JSON. Smaller responses = faster app rendering.

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Bandwidth Cost

Cloud providers charge for outbound bandwidth. Heavy responses add up at scale.

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Field-level Insight

See exactly which fields are the heaviest contributors — not just total size.

Frequently Asked Questions

Null density is the percentage of fields that have a null value. High null density (20%+) usually means the API is returning fields that don’t apply to this resource — for example, returning optional metadata fields as null for every record instead of omitting them. Fields with null values still consume bandwidth and parse time.
JSON is highly repetitive — field names appear once per object in arrays, and common values repeat. GZIP compression typically reduces JSON size by 70–80% in transit. Enable it with the Content-Encoding: gzip header. Most web servers and CDNs support it automatically when configured.
Over-fetching means the API sends more data than the client needs. A common example: a mobile app showing a user’s name and avatar receives a response with 30+ fields including full address history and settings. GraphQL was invented specifically to solve this — clients request exactly the fields they need.
Beyond 3–4 levels of nesting, JSON becomes hard to read, hard to document, and slow to traverse in code. Deep nesting often signals that the API should be broken into separate endpoints or that the data model needs rethinking. This tool flags responses with nesting beyond 4 levels.

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