◉ API Gateway Observation · x-llm.net (veridrop score 98)
| Official / source | https://veridrop.org/leaderboard |
|---|
Chinese editor copy (original, collapsed)
① 这是什么
AI API 中转服务 x-llm.net 的社区公开检测观测:综合分 98(贝叶斯加权,样本≥2 才参与排名),覆盖协议 Claude · Gemini · OpenAI。
② 值不值得用
仅观测,不作推荐。综合分与问题标记反映社区检测结果:无问题标记且分高 → 社区口碑较好;有问题标记 → 接入前先核对报告。
③ 怎么开始
先看详细检测报告(https://veridrop.org/leaderboard/x-llm.net),再按需接入其 API;报告比排名更能说明稳定性。
④ 关键证据
- 综合分 98(1197 次检测,最近 2026-08-18)
- 覆盖协议:Claude · Gemini · OpenAI
- 常见问题标记:token_usage、pdf、token_billing
⑤ 注意事项与坑
本条目来自 veridrop 社区公开检测聚合,非本平台实测;中转服务涉及数据隐私与稳定性,请以官方和最新检测报告为准。
Good for: users tracking x-llm.net gateway availability and cross-checking the leaderboard.
Not for: treating a single-day leaderboard as a stability verdict.
Status: machine-checked (structure & source validation); functionality not individually tested.
Minimal verification (3 steps)
- Check detail report — https://veridrop.org/leaderboard/x-llm.net
- Review issue flags — token_usage, pdf, token_billing
- Run CLI — npx aiskillready search net
Use it like this
npx aiskillready search net # official CLI, verified runnable (aiskillready@0.2.0)
Note: `npx aiskillready` is this site's published CLI (npm aiskillready@0.2.0) — verified runnable; third-party commands are given per official docs and not individually tested. We don't fabricate conclusions.
Trust layer: machine check / cost / confidence / schema (expand)
Related (what you should know)
Related (3) · expand
◉ API Gateway Observation · api.999555999.com (veridrop score 95)
veridrop score 95/100; 246 checks; protocols: Claude · Gemini · OpenAI; last checked 2026-08-18 — observation only, not a recommendation.
Similar◉ API Gateway Observation · api.koozhan.com (veridrop score 94)
veridrop score 94/100; 300 checks; protocols: Claude · OpenAI; last checked 2026-08-18 — observation only, not a recommendation.
Similar◉ API Gateway Observation · api-top.com (veridrop score 99)
veridrop score 99/100; 700 checks; protocols: Claude · Gemini · OpenAI; last checked 2026-08-18 — observation only, not a recommendation.
Something wrong / command failed? File an issue with the entry ID; it feeds back into the next revision.
🐞 Report an issue →AI block · machine-readable JSON (click to expand)
{
"schema_version": "0.5",
"entry_id": "ASR-OBS-20260818-x-llm-net",
"record_type": "observation",
"title": "AI API 中转观测 · x-llm.net(veridrop 综合分 98)",
"observed_at": "2026-08-18",
"source": {
"name": "veridrop.org/leaderboard",
"url": "https://veridrop.org/leaderboard",
"snapshot_hash": "d10c828c5d98e8775ec12dfc637437656fec251bef8989348d0f52c41701b71e",
"fetched_at": "2026-08-18T10:51:14+00:00"
},
"confidence": "medium",
"human_stream": {
"summary": "veridrop 公开检测数据(快照 2026-08-18)中,x-llm.net 综合分 98,基于 1197 次检测;协议:Claude · Gemini · OpenAI;最近检测 2026-08-18。常见问题标记:token_usage、pdf、token_billing。仅观测,不构成推荐。",
"key_points": [
"综合分 98(贝叶斯加权,样本≥2 才参与排名)",
"检测次数 1197 · 最近检测 2026-08-18",
"覆盖协议:Claude · Gemini · OpenAI",
"常见问题标记:token_usage、pdf、token_billing"
],
"note": "数据来源为 veridrop 社区公开检测报告聚合,非本平台实测;使用前请以官方与最新检测报告为准。",
"what_it_is": "AI API 中转服务 x-llm.net 的社区公开检测观测:综合分 98(贝叶斯加权,样本≥2 才参与排名),覆盖协议 Claude · Gemini · OpenAI。",
"worth_it": "仅观测,不作推荐。综合分与问题标记反映社区检测结果:无问题标记且分高 → 社区口碑较好;有问题标记 → 接入前先核对报告。",
"how_to_start": "先看详细检测报告(https://veridrop.org/leaderboard/x-llm.net),再按需接入其 API;报告比排名更能说明稳定性。",
"evidence": [
"综合分 98(1197 次检测,最近 2026-08-18)",
"覆盖协议:Claude · Gemini · OpenAI",
"常见问题标记:token_usage、pdf、token_billing"
],
"cautions": "本条目来自 veridrop 社区公开检测聚合,非本平台实测;中转服务涉及数据隐私与稳定性,请以官方和最新检测报告为准。"
},
"ai_stream": {
"structured": {
"rank": 9,
"domain": "x-llm.net",
"overall_score": 98,
"detections": 1197,
"protocols": "Claude · Gemini · OpenAI",
"last_checked": "2026-08-18",
"issues": [
"token_usage",
"pdf",
"token_billing"
],
"detail_url": "https://veridrop.org/leaderboard/x-llm.net",
"source_label": "veridrop-pro-leaderboard"
},
"raw": [
{
"rank": 9,
"domain": "x-llm.net",
"detail_url": "https://veridrop.org/leaderboard/x-llm.net",
"detections": 1197,
"protocols": "Claude · Gemini · OpenAI",
"last_checked": "2026-08-18",
"overall_score": 98,
"issues": [
"token_usage",
"pdf",
"token_billing"
]
}
],
"insights": [
"好的,我现在需要处理用户提供的这个查询。用户给了一个域名x-llm.net,综合分98,检测1197次,协议包括Claude、Gemini、OpenAI,最近检测日期是2026-08-18,常见问题有token_usage、pdf、token_billing。用户要求给出2-3条升维解读,每条一行,不超过60字,不要编号和其他格式。",
"首先,我需要理解“升维解读”是什么意思。这里应该是指从更高层次或更深入的角度分析数据,找出亮点、风险或适用场景。用户可能希望得到一些有价值的见解,而不仅仅是表面的数据描述。",
"接下来,分析每个数据点。综合分98很高,说明这个域名的总体表现或可信度很好。检测次数1197次,说明被频繁检测,可能是一个活跃的平台或服务。协议涉及多个大模型,比如Claude、Gemini、OpenAI,这可能意味着该平台集成了多种AI服务,具备多模型支持能力。最近检测日期是2026年,可能用户提供的数据有误,因为现在还没到2026年,但假设这是测试数据的话,可能表示最近的检测时间较近。常见问题包括token_usage、pdf、token_billing,这些可能涉及API调用次数、PDF处理和计费问题。",
"然后,考虑可能的亮点。高综合分和多协议支持可能是一个亮点,说明平台可靠且功能全面。频繁检测可能表明其重要性或被广泛使用。适用场景可能包括需要多模型集成的企业或需要处理PDF和token管理的场景。",
"风险方面,高检测次数可能意味着存在被滥用的风险,或者平台可能面临较高的负载压力。常见问题中的token_billing可能涉及成本问题,用户可能需要关注计费情况。另外,如果最近检测日期是未来日期,可能数据有误,需要核实。",
"适用场景的话,可能适合需要处理大量文本和PDF的企业,或者需要多模型切换的开发者。高综合分可能吸引需要高可靠性的用户。",
"现在需要将这些点浓缩成每条不超过60字的句子,确保简洁。例如:",
"1. 高综合分与多模型协议支持,适合需要高可靠性的企业级AI集成场景。",
"2. 频繁检测与token_billing问题提示需关注API成本与资源优化。",
"3. PDF处理能力与多协议兼容性,"
]
},
"token_cost": {
"total": 0.000262,
"currency": "USD",
"breakdown": {
"crawl": 0.0,
"clean": 0.0,
"elevate": 0.000262,
"verify": 0.0
}
},
"machine_verified": true,
"review": {
"status": "agent_reviewed",
"reviewer": "pipeline-validate",
"reviewed_at": "2026-08-18T10:54:20+00:00",
"comments": "机检通过(schema 0 error + 溯源一致 + 成本达标)"
},
"provenance": {
"extracted_by": "codex",
"extracted_at": "2026-08-18T10:53:05+00:00",
"pipeline": "crawl_veridrop.py + build_entries.py v0.2(规则管线)",
"access_urls": [
"https://veridrop.org/leaderboard"
],
"card_generated_at": "2026-08-18T10:53:05+00:00",
"card_pipeline": "enrich_human_stream.py v0.1(规则模板,零 Token)",
"elevate_at": "2026-08-18T10:53:06+00:00",
"elevate_model": "@cf/qwen/qwen3-30b-a3b-fp8"
}
}