This guide uses source checks from Sep 3, 2026. Provider and gateway prices can change; preserve the checked date with every forecast.
Why This Topic Matters Now
The Sep 2 keyword report does not show a new broad model query breakout. It shows something more useful for a middle-funnel publishing day: brand and quickstart searches from Tier 1 countries. `aiwave.live` had 59 impressions with 58 from the United States, `site:aiwave.live` had 48 United States impressions and no clicks, and `aiwave quickstart` appeared as a small United States signal. That is not a volume story. It is a clarity story.
A Tier 1 buyer typing those queries is usually trying to verify whether AIWave is real, whether the API can be tested with an OpenAI-compatible client, whether the rate card is source-dated, and whether the trust boundary is clear enough for a redacted trial. This guide turns the first hour of evaluation into an evidence pack rather than a vague product tour. The goal is a request record that engineering, security, and procurement can all understand.
Source Facts Checked Today
AIWave /api/pricing checked on Sep 3, 2026 returned success=true, 63 records, pricing_version a42d372ccf0b5dd13ecf71203521f9d2, default group ratio 3, and VIP group ratio 1. Parsed live gateway examples before account-group math included DeepSeek V4 Flash at $0.638 input, $1.914 output, and $0.020288 cache-hit input per 1M tokens; DeepSeek V4 Pro at $1.914 input, $5.742 output, and $0.063736 cache-hit input; GLM-5.1 at $2.10 input, $6.60 output, and about $0.680001 cache-hit input; and Kimi K3 at $4.50 input, $22.50 output, and $0.90 cache-hit input.
The current AIWave positioning source says public model breadth should remain conservative, public pages should avoid unsupported latency claims, and retention language should remain cautious before audit. That means the quickstart evidence pack should emphasize a working base URL, model discovery, source-dated prices, request usage fields, route owner, and data boundary. It should not lean on broad claims that a first request cannot prove.
The Sep 2 keyword report also says brand CTR cleanup is the immediate cluster: `aiwave`, `aiwave api`, `aiwave.live`, and API documentation variants. It specifically recommends stronger internal links from docs, models, pricing, and migration pages into DeepSeek, GLM, Qwen, and Kimi comparison content. A quickstart article can support that by linking the first request to the pages a serious evaluator needs next.
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.
| Evidence item | Why it matters | Record to keep |
|---|---|---|
| Base URL | Proves client compatibility | https://aiwave.live/v1 |
| Model list | Prevents guessing route names | Timestamped models response |
| Redacted request | Avoids sensitive production data | Prompt class and route owner |
| Usage object | Connects test quality to billing fields | Input, output, cache fields when visible |
| Pricing snapshot | Keeps finance review reproducible | URL, checked date, pricing_version |
| Trust path | Shows operational boundaries | Trust, privacy, support links |
| Decision owner | Stops demo drift | Reviewer, pass/fail result, next step |
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()
candidate_ids = [
item.id for item in models.data
if item.id.startswith(("deepseek", "glm", "kimi", "qwen"))
]
probe = client.chat.completions.create(
model="deepseek-v4-flash",
messages=[{"role": "user", "content": "Return a redacted API trial checklist."}],
temperature=0.1,
max_tokens=500,
)
print({"models_seen": candidate_ids[:8], "usage": probe.usage})
Start With the Models Endpoint
The first quickstart step should list models before sending a business prompt. A models response gives the evaluator the exact route names that exist for the account and avoids copying stale examples from older pages. Store the timestamp, approved route list, account group if visible, and who performed the check. If the team cannot name the route, it should not move to production.
Use a Redacted Probe
The first prompt should be deliberately small and redacted. Ask for an evidence checklist, a JSON schema, or a short deterministic planning response. Do not send customer records, proprietary source code, production logs, or regulated content in the first test. The purpose is to verify endpoint shape, authentication, route availability, usage reporting, and response handling, not final model quality.
Attach Source-Dated Pricing
Pricing needs a date because provider and gateway rows change. Store the AIWave pricing URL, Sep 3, 2026 check date, pricing_version, model name, input price, output price, cache-hit price when present, and account-group multiplier. Keep direct provider rates in a separate comparison tab. A quickstart evidence pack is strongest when finance can reproduce the exact row that engineering used.
Document the Trust Boundary
A brand searcher may not be ready to ask support, but the page should still send them to trust and privacy evidence. The quickstart pack should state what data class was used, which data classes are excluded from the trial, which person owns the approval, and where support questions go. That turns a working request into a controlled trial instead of an unsupervised experiment.
Internal Links for Brand CTR Cleanup
This page should link to Chat Completions, Models docs, Pricing, Trust, Privacy, and the earlier brand-query evidence pack. The path should let a searcher move from brand result to working request to rate-card review without hunting.
Add a Pass Fail Line
Every quickstart run should end with a pass or fail line. Pass means the client authenticated, the model route existed, the response returned, usage fields were captured, and source-dated pricing was attached. Fail means one or more of those fields are missing. This simple line keeps demos honest and makes it easier to compare trials across teams.
Procurement Review
Procurement should review the rate card, checked date, account group, minimum test budget, invoice path, data boundary, and support expectations. Engineering should attach the redacted request and usage object. Security should confirm that the first test excluded sensitive data. The output is not a purchase decision; it is a clean evidence packet for deciding whether the next test should be larger.
Final Checklist
The AIWave quickstart is ready when it lists models, sends one redacted request, captures usage, stores pricing_version, links trust and privacy, and assigns a decision owner. If any field is missing, fix the evidence before increasing workload size. A clear quickstart helps Tier 1 brand searches because it answers practical buyer questions without relying on broad claims.