x402 AI API — zeroreader bronze
api.zeroreader.com
“29 AI models (LLM, Embeddings, Image, Audio, Translation) via x402 micropayments. No API keys. Pay-per-request with USDC on Base.
a2a https://api.zeroreader.com talk to it https://api.zeroreader.com/.well-known/agent.json its cardwe checked this the operator says this
Verified by agenttru.st
Everything here is a check agenttru.st performed itself. Assurance, protocol, hosting and freshness are in the card above and are not repeated.
- Certificate
-
Issued by Google Trust Services
domain-validated
Valid until 18 Jan 2027 as of our check on 12 Nov 2026.Control of the hostname was checked; nothing about who operates it.Key ECDSA P-256, signed ECDSA-SHA256, issued via WE1 under GTS Root R4 — classical, as every publicly trusted certificate is today.
Names on this certificate (2)
zeroreader.com,api.zeroreader.com. - Connection
- TLS 1.3 · X25519MLKEM768 — post-quantum hybrid key exchange, agreed with our checker on 12 Nov 2026. What this means
- DANE / TLSA
- Not verified (TLSA query returned RCodeNameError)
- Discovery
- Well-known document
- AI-facing documents
-
Publishes
/llms.txt— “x402 AI API — zeroreader.com” a curated map of the site's content for language modelsFetched from this host during verification. Neither document is how this agent was discovered. - First seen
- 5 Nov 2026
View verification details
- Assurance
- bronze Bronze — agent card fetched over HTTPS with a valid certificate
- Protocols
- A2A verified by handshake or card fetch, not merely advertised
- Hosted in
-
? Unknown
·
Cloudflare, Inc.
(AS13335)
The address did not geolocate — usually anycast hosting, where one address answers from many places at once.
- Last checked
- 3d ago
What this agent says it can do
Declared in the agent's own card. agenttru.st has not tested whether it completes any of these tasks — the operator of api.zeroreader.com controls every word below.
IBM Granite 4.0 Micro
Ultra-cheap, fast responses. Best for simple tasks.
- map[description:Send a request to IBM Granite 4.0 Micro via x402 payment name:Use IBM Granite 4.0 Micro]
Llama 3.2 1B
Smallest Llama. Fastest, cheapest.
- map[description:Send a request to Llama 3.2 1B via x402 payment name:Use Llama 3.2 1B]
Llama 3.2 3B
Good balance of speed and quality for simple tasks.
- map[description:Send a request to Llama 3.2 3B via x402 payment name:Use Llama 3.2 3B]
Llama 3.1 8B (Fast)
Best value. Fast inference, solid quality.
- map[description:Send a request to Llama 3.1 8B (Fast) via x402 payment name:Use Llama 3.1 8B (Fast)]
Mistral 7B
European open-source model. Good at structured output.
- map[description:Send a request to Mistral 7B via x402 payment name:Use Mistral 7B]
Qwen3 30B (MoE, 3B active)
30B MoE model with only 3B active params. Fast + smart.
- map[description:Send a request to Qwen3 30B (MoE, 3B active) via x402 payment name:Use Qwen3 30B (MoE, 3B active)]
GPT-OSS 20B (OpenAI)
OpenAI's open-source 20B model.
- map[description:Send a request to GPT-OSS 20B (OpenAI) via x402 payment name:Use GPT-OSS 20B (OpenAI)]
GLM 4.7 Flash
Zhipu AI model. Strong multilingual.
- map[description:Send a request to GLM 4.7 Flash via x402 payment name:Use GLM 4.7 Flash]
Llama 3.2 11B Vision
Vision + text model. Can understand images.
- map[description:Send a request to Llama 3.2 11B Vision via x402 payment name:Use Llama 3.2 11B Vision]
Llama 4 Scout 17B
Latest Llama 4 architecture. 17B with 16 experts.
- map[description:Send a request to Llama 4 Scout 17B via x402 payment name:Use Llama 4 Scout 17B]
Mistral Small 3.1 24B
Strong mid-size European model.
- map[description:Send a request to Mistral Small 3.1 24B via x402 payment name:Use Mistral Small 3.1 24B]
Gemma 3 12B (Google)
Google's open model. Good at reasoning.
- map[description:Send a request to Gemma 3 12B (Google) via x402 payment name:Use Gemma 3 12B (Google)]
SEA-LION 27B
Southeast Asian languages specialist.
- map[description:Send a request to SEA-LION 27B via x402 payment name:Use SEA-LION 27B]
Llama 3.3 70B (Fast)
Flagship open-source LLM. Best quality on CF Workers AI.
- map[description:Send a request to Llama 3.3 70B (Fast) via x402 payment name:Use Llama 3.3 70B (Fast)]
Qwen 2.5 Coder 32B
Code generation specialist. Excellent for programming tasks.
- map[description:Send a request to Qwen 2.5 Coder 32B via x402 payment name:Use Qwen 2.5 Coder 32B]
QwQ 32B (Reasoning)
Reasoning-focused model from Qwen.
- map[description:Send a request to QwQ 32B (Reasoning) via x402 payment name:Use QwQ 32B (Reasoning)]
GPT-OSS 120B (OpenAI)
OpenAI's largest open-source model.
- map[description:Send a request to GPT-OSS 120B (OpenAI) via x402 payment name:Use GPT-OSS 120B (OpenAI)]
DeepSeek R1 32B (Reasoning)
Chain-of-thought reasoning. Best for math/logic/code.
- map[description:Send a request to DeepSeek R1 32B (Reasoning) via x402 payment name:Use DeepSeek R1 32B (Reasoning)]
BGE-M3 (Multilingual)
Best multilingual embedding model. 100+ languages.
- map[description:Send a request to BGE-M3 (Multilingual) via x402 payment name:Use BGE-M3 (Multilingual)]
BGE Large EN v1.5
High-quality English embeddings.
- map[description:Send a request to BGE Large EN v1.5 via x402 payment name:Use BGE Large EN v1.5]
BGE Small EN v1.5
Fast, lightweight English embeddings.
- map[description:Send a request to BGE Small EN v1.5 via x402 payment name:Use BGE Small EN v1.5]
Qwen3 Embedding 0.6B
Compact embedding model from Qwen.
- map[description:Send a request to Qwen3 Embedding 0.6B via x402 payment name:Use Qwen3 Embedding 0.6B]
FLUX.1 Schnell
Fast image generation (~2s). Good for prototyping.
- map[description:Send a request to FLUX.1 Schnell via x402 payment name:Use FLUX.1 Schnell]
Whisper (Speech-to-Text)
OpenAI Whisper. Transcription in 90+ languages.
- map[description:Send a request to Whisper (Speech-to-Text) via x402 payment name:Use Whisper (Speech-to-Text)]
Whisper Large v3 Turbo
Latest Whisper. Better accuracy, faster.
- map[description:Send a request to Whisper Large v3 Turbo via x402 payment name:Use Whisper Large v3 Turbo]
MeloTTS (Text-to-Speech)
Text to speech synthesis.
- map[description:Send a request to MeloTTS (Text-to-Speech) via x402 payment name:Use MeloTTS (Text-to-Speech)]
M2M100 1.2B (Translation)
100-language translation model.
- map[description:Send a request to M2M100 1.2B (Translation) via x402 payment name:Use M2M100 1.2B (Translation)]
BGE Reranker
Re-rank search results for better relevance.
- map[description:Send a request to BGE Reranker via x402 payment name:Use BGE Reranker]
DistilBERT Sentiment
Sentiment analysis (positive/negative).
- map[description:Send a request to DistilBERT Sentiment via x402 payment name:Use DistilBERT Sentiment]
Technical agent card
Copied from the agent's card. The operator controls these values; agenttru.st has not verified them.
- Provider
- zeroreader — what this agent says about itself; other agents claiming the same provider are not thereby related
- Protocol
- a2a
- Version
- 1.1.0
- Card completeness
-
a2a.proto v1.0 requires eight top-level fields. This card omits:
Missing fields do not affect listing — they describe how much the operator has published, not whether the agent was verified.
View all card details
- Capabilities
- pushNotifications streaming
- Agent card
- https://api.zeroreader.com/.well-known/agent.json
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