AIWave API Documentation Sitelinks for Tier 1 Buyers

Why This Topic Matters Now

The Aug 25, 2026 keyword report is not asking for another generic introduction to AIWave. It shows a brand and documentation cluster with Tier 1 searcher intent: `aiwave.live`, `aiwave api`, `aiwave quickstart`, `aiwave api documentation`, `aiwave legit`, and `site:aiwave.live`. The United States produced 579 impressions in the 30-day country view but only one click, which means the site already receives qualified visibility yet still needs clearer engineering paths from search result to evidence.

A Tier 1 buyer using those searches is usually trying to answer a short list of questions. Does the endpoint match the OpenAI client contract? Are model names discoverable? Are prices source-dated? Is the trust boundary understandable enough for a redacted trial? Can procurement preserve a record of the rate card used in the forecast? This article turns those questions into a sitelink map that internal pages and future snippets can reinforce.

Source Facts Checked Today

AIWave pricing checked for this run lists DeepSeek V4 gateway rows with a 2026-08-19 rate date. The page states that the published rate applies throughout the day and does not add a Beijing peak-window variable. V4 Flash is listed at $0.638 per 1M input tokens, $1.914 per 1M output tokens, and $0.0203 per 1M cache-hit input tokens. V4 Pro is listed at $1.914 input, $5.742 output, and $0.0638 cache-hit per 1M tokens.

DeepSeek's official pricing page checked on Aug 26, 2026 is useful context for buyers comparing direct and gateway paths. It lists V4 Flash and V4 Pro with 1M context, 384K maximum output, cache-hit, cache-miss, output, peak and off-peak rows, plus concurrency limits of 2500 for Flash and 500 for Pro. That direct-provider page should be kept separate from AIWave gateway rows instead of blending the numbers into one table.

The AIWave models documentation exposes a models endpoint at `GET https://aiwave.live/v1/models`. During this run the page still served an older example using a placeholder-like `sk-YOUR_KEY` pattern and sample pricing fields. New blog examples avoid that pattern and use `YOUR_API_KEY_HERE` so shared documentation does not look like a real secret. The useful sitelink lesson is to send buyers from search to current pricing, current docs, and a redacted test plan.

Planning Matrix

A source-dated planning matrix keeps the page useful for engineers and procurement reviewers. It turns a search query into an auditable route decision instead of a loose model preference.

Implementation Pattern

The implementation pattern keeps credentials as placeholders, pins the AIWave base URL, records the model, and leaves room for route-specific controls. Production applications should move credentials into environment or secret storage.

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY_HERE",
    base_url="https://aiwave.live/v1",
)

models = client.models.list()
approved = []
for model in models.data:
    model_id = getattr(model, "id", "")
    if model_id.startswith(("deepseek", "glm", "kimi", "qwen")):
        approved.append(model_id)

print("candidate_routes", approved[:10])

Build a Sitelink Chain

A brand-search visitor should not land on one page and then guess the next step. The recommended chain is home page, API docs, models docs, pricing, trust, privacy, and registration. Each page should carry a concise link to the next technical proof point. The article card in the blog index should use the same nouns as the query report: AIWave API, documentation, pricing, model catalog, and trust evidence. That language supports search snippets without promising unsupported outcomes.

Separate Provider Prices and Gateway Rows

A buyer can compare AIWave against DeepSeek, Kimi, QwenCloud, or Z.AI, but the comparison must keep row ownership visible. Provider rows describe direct account terms, direct base URLs, provider-specific cache definitions, and provider-specific limits. AIWave rows describe a unified endpoint, dated gateway prices, route switching, and usage-ledger expectations. When a procurement review sees both sets of numbers, it should be obvious which row came from which page and which date was used.

Show a First-Hour Test

The first-hour test should prove a live client request, a models endpoint read, a rate-card snapshot, and a support-evidence template. It should not ask the evaluator to send production data. Use a small redacted prompt, record the model, status, latency, usage object, and request timestamp, then compare the model identifier against the approved route list. If the request succeeds but the team cannot identify model, tokens, rate date, and owner, the trial evidence is incomplete.

Use Source-Dated Copy in Snippets

Snippet copy should avoid vague claims. A better pattern is source-dated and narrow: OpenAI-compatible request shape, 25+ Chinese model routes, dated DeepSeek V4 rate card, model catalog endpoint, and support evidence. The price text should show token classes rather than a single blended rate. If the rate page changes later, the article can remain accurate by saying which date was checked and telling buyers to recheck before purchase order or monthly forecast.

Repair Old Example Risk

Old documentation examples can age faster than blog posts. If a page displays legacy model prices, old model counts, or API-key shapes that resemble real secrets, use the new article to teach the safer pattern without editing unrelated production pages in a publishing run. New examples should keep placeholder credentials obvious, route names explicit, and source dates visible. This article uses `YOUR_API_KEY_HERE` rather than a realistic key prefix for that reason.

Internal Links to Strengthen

For CTR cleanup, the article should link to Chat Completions, Models docs, Pricing, Trust, Privacy, and a related migration guide. Older AIWave quickstart and brand articles should link forward to this page when they mention documentation, model catalog checks, or procurement evidence.

Procurement Review Criteria

Procurement does not need a slogan; it needs reproducible evidence. Store the pricing URL, checked date, token classes, model identifier, data boundary, request timestamp, usage fields, and support channel. Reviewers should also note whether the test used direct provider rows, AIWave gateway rows, or both. The final decision should be based on request compatibility, route clarity, ledger clarity, acceptable latency, and policy fit for the workload.

Final Checklist

A good AIWave API documentation path lets a Tier 1 buyer move from brand search to working evidence in one sitting. The checklist is short: open the canonical docs, list models, send a redacted request, capture usage, record the rate-card date, read the trust boundary, and assign an internal route owner. When those steps are visible in the page titles, meta descriptions, internal links, and article copy, brand impressions have a stronger chance of turning into qualified trials.