In most cases, developer documentation is copied instead of being read. Developers show up with a clear objective; they copy, answer their question, and leave. This metric studies the time it takes to make a single successful API call. Everything on the page either helps to reduce that time or acts as a distraction.
Documentation is usually thin when describing common frustrations like errors and rate limits. That is where developers go to check the documentation when they have run out of patience.
Predictability. Each endpoint is documented using the same headings in the same order, therefore, once understood, the shape can be memorized. Developers need to understand the shape, read what is the same, and then read only what is different. Here, prose isn’t really needed. A parameter table showing types, requirements, and defaults answers more of the developer’s questions about the API than three paragraphs of descriptive sentences.
Generated API docs are fluent but unverifiable. The model proposes parameter names that conform to naming conventions, status codes that appear to be reasonable, and an example that does not run. A developer will encounter this on their first call to the API. The credibility cost of this rests on your API rather than the documentation.
The writer gets a sandbox key and makes the calls. Every example in the documentation is one that was run, with a response captured rather than composed. Where the spec and the live response disagree, and somewhere they usually do, we report it instead of documenting whichever version reads more tidily.
An API surface drifts. One endpoint returns created_at, another returns createdAt, and documentation which quietly normalizes both hides a real problem from the end users. We try to keep the docs faithful to what the API returns and provide you with the inconsistencies we found, ranked by how much they will annoy an integrator.
One rate, whatever the format: $10 per 100 words. You are paying for the writer’s time and judgement, so the price scales with the words rather than with a package tier.
| Typical API documentation | Words | Writing | Fee (1%) | You pay |
|---|---|---|---|---|
| Single reference | 800 | $80 | $0.80 | $80.80 |
| Standard doc set | 2,000 | $200 | $2 | $202 |
| Full documentation | 5,000 | $500 | $5 | $505 |
The writer receives 100% of the writing price. Our 1% fee is added on top of it, and 0.5% is donated to tree planting. Full pricing breakdown.
Ask on the contact page and a person will answer, usually the same working day. For a live order, reply to your confirmation email and it reaches whoever is handling it.
Ask on the contact page and a person will answer, usually the same working day. For a live order, reply to your confirmation email and it reaches whoever is handling it.
We start with one and then query against live responses to verify. When developers attempt to implement a spec, they will discover differences between the spec and the actual implementation. A spec, by itself, is a good starting point but an unreliable source of truth.
Both APIs require the answering of reference and guide type questions. Reference answers what a parameter does. Guides answer why you would choose one endpoint over another and how three calls fit together. Ordering them at the same time creates identical terminology across the two.
Completely. Copyright transfers to you on delivery, with no attribution requirement and no licence back to us. Nothing written for you is resold, repurposed or republished.
Reviews from completed, paid orders in this category.
Our API documentation was written over an uneven four-year span. The author went through every single one and flagged six cases where our error responses were inconsistent with the description and raised them instead of just fixing them on the fly. That was worth the order.
Mostly excellent. Your improvements to the auth section are better than what our engineers wrote. Your pagination endpoints, however, were explained in the spec according to how they behave rather than how they are, which required two revisions. Our spec is incorrect in that area as well.
They requested access to our staging endpoint with read access and used it too. The auth section of your docs shows us the 409 error we return for duplicate idempotency keys. That error is not documented anywhere in our old docs. Contract documentation has never come back and educated me about my API before.
We do not ask you to take the no-AI promise on trust. Each draft is run through these platforms and the reports are attached to your delivery email.
Originality.aiAI detection + plagiarism
GPTZeroAI detection
TurnitinAI detection + similarity
CopyleaksAI detection + plagiarism
Winston AIAI detection
ZeroGPTAI detection
SaplingAI detection
Content at ScaleAI detection
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$10 per 100 words · all of it to the writer · 0.5% to trees