← The evidence ledger
Evidence row 768
Observed , by baseline/1.
- Kind
- listing
- About
- source_record agentic_market:api-ai-open-models-com
- Recorded
- Previous row
- None: the first of its kind about this subject
- Body SHA-256
- 186fa35398d934fd3191f32b2be5872b200b26b8629b3ecbcbef107840a625c8
- Leaf
- 0x095f7fa71661a8273cd4909bf748a0c766da8fd53ca6ecb825f956069f1d88cb
What was observed
{
"endpoints": [
[
"x402",
"https://api.ai-open-models.com/v1/auto/chat/completions"
],
[
"x402",
"https://api.ai-open-models.com/v1/chat/completions"
],
[
"x402",
"https://api.ai-open-models.com/v1/compare/chat/completions"
],
[
"x402",
"https://api.ai-open-models.com/v1/exa/answer"
],
[
"x402",
"https://api.ai-open-models.com/v1/exa/contents"
],
[
"x402",
"https://api.ai-open-models.com/v1/exa/search"
],
[
"x402",
"https://api.ai-open-models.com/v1/fusion/chat/completions"
],
[
"x402",
"https://api.ai-open-models.com/v1/model-panel/request-body"
],
[
"x402",
"https://api.ai-open-models.com/v1/research/compare"
],
[
"x402",
"https://api.ai-open-models.com/v1/research/synthesis"
],
[
"x402",
"https://api.ai-open-models.com/v1/router/chat/completions"
]
],
"name": "api.ai-open-models.com",
"owner_address": null,
"raw": {
"caip2_networks": [
"eip155:8453"
],
"category": "",
"description": "",
"domain": "api.ai-open-models.com",
"endpoints": [
{
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"method": "POST",
"parameters": [
{
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},
{
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"group": "body",
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},
{
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},
{
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"example": "workflow_execution",
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{
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"name": "tool_choice",
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},
{
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],
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"minAmount": "",
"network": "eip155:8453",
"scheme": "exact"
},
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"quality": {
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"l30DaysUniquePayers": "3"
},
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"tags": [
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"llm",
"auto-routing",
"inference",
"open-weight"
],
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},
{
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"method": "POST",
"parameters": [
{
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"example": 512,
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},
{
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"name": "messages",
"required": false,
"type": "array"
},
{
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"description": "",
"enumValues": [],
"example": "Qwen/Qwen3.8-27B",
"group": "body",
"name": "model",
"required": false,
"type": "string"
},
{
"default": null,
"description": "",
"enumValues": [],
"example": true,
"group": "body",
"name": "parallel_tool_calls",
"required": false,
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},
{
"default": null,
"description": "",
"enumValues": [],
"example": "deepinfra",
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"name": "provider",
"required": false,
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},
{
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"example": "max",
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"name": "reasoning_effort",
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},
{
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"name": "response_format",
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},
{
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"example": false,
"group": "body",
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"required": false,
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},
{
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},
{
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"enumValues": [],
"example": "auto",
"group": "body",
"name": "tool_choice",
"required": false,
"type": "string"
},
{
"default": null,
"description": "",
"enumValues": [],
"example": [],
"group": "body",
"name": "tools",
"required": false,
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}
],
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"currency": "USDC",
"maxAmount": "",
"minAmount": "",
"network": "eip155:8453",
"scheme": "exact"
},
"providerName": "",
"quality": {
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"l30DaysUniquePayers": "2"
},
"serviceName": "AI Open Models",
"tags": [
"openai-compatible",
"llm",
"inference",
"vision",
"tool-calling"
],
"url": "https://api.ai-open-models.com/v1/chat/completions"
},
{
"description": "Run the same task against several explicitly selected open-weight models in parallel and return every answer separately. No ranking, verification, or synthesis.",
"method": "POST",
"parameters": [
{
"default": null,
"description": "",
"enumValues": [],
"example": 512,
"group": "body",
"name": "max_tokens",
"required": false,
"type": "number"
},
{
"default": null,
"description": "",
"enumValues": [],
"example": [],
"group": "body",
"name": "messages",
"required": false,
"type": "array"
},
{
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"enumValues": [],
"example": [],
"group": "body",
"name": "models",
"required": false,
"type": "array"
},
{
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"description": "",
"enumValues": [],
"example": false,
"group": "body",
"name": "stream",
"required": false,
"type": "boolean"
},
{
"default": null,
"description": "",
"enumValues": [],
"example": 0.2,
"group": "body",
"name": "temperature",
"required": false,
"type": "number"
}
],
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"currency": "USDC",
"maxAmount": "",
"minAmount": "",
"network": "eip155:8453",
"scheme": "exact"
},
"providerName": "",
"quality": {
"l30DaysTotalCalls": "5",
"l30DaysUniquePayers": "2"
},
"serviceName": "Compare - Open-Weight Models",
"tags": [
"ai",
"llm",
"multi-model",
"benchmarking",
"open-weight"
],
"url": "https://api.ai-open-models.com/v1/compare/chat/completions"
},
{
"description": "AI-generated answers powered by Exa web search. Ask a factual or open-ended question and receive a synthesized answer with source citations.",
"method": "POST",
"parameters": [
{
"default": null,
"description": "",
"enumValues": [],
"example": "What are the latest production uses of x402 payments?",
"group": "body",
"name": "query",
"required": false,
"type": "string"
},
{
"default": null,
"description": "",
"enumValues": [],
"example": "Provide a concise, evidence-based answer and cite the most relevant sources.",
"group": "body",
"name": "system_prompt",
"required": false,
"type": "string"
}
],
"pricing": {
"amount": "0.011",
"currency": "USDC",
"maxAmount": "",
"minAmount": "",
"network": "eip155:8453",
"scheme": "exact"
},
"providerName": "",
"quality": {
"l30DaysTotalCalls": "2",
"l30DaysUniquePayers": "1"
},
"serviceName": "Web Answer",
"tags": [
"web-answer",
"web-search",
"citations",
"exa",
"agent-tools"
],
"url": "https://api.ai-open-models.com/v1/exa/answer"
},
{
"description": "Retrieve clean content from one webpage using Exa. Choose full text, query-focused highlights, or an AI-generated summary, with page metadata and retrieval status.",
"method": "POST",
"parameters": [
{
"default": null,
"description": "",
"enumValues": [],
"example": "highlights",
"group": "body",
"name": "content_type",
"required": false,
"type": "string"
},
{
"default": null,
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"example": 2000,
"group": "body",
"name": "max_characters",
"required": false,
"type": "number"
},
{
"default": null,
"description": "",
"enumValues": [],
"example": "How does an x402 payment request work?",
"group": "body",
"name": "query",
"required": false,
"type": "string"
},
{
"default": null,
"description": "",
"enumValues": [],
"example": "https://docs.x402.org/faq",
"group": "body",
"name": "url",
"required": false,
"type": "string"
}
],
"pricing": {
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"currency": "USDC",
"maxAmount": "",
"minAmount": "",
"network": "eip155:8453",
"scheme": "exact"
},
"providerName": "",
"quality": {
"l30DaysTotalCalls": "5",
"l30DaysUniquePayers": "2"
},
"serviceName": "Web Contents",
"tags": [
"web-contents",
"content-extraction",
"web-reading",
"exa",
"agent-tools"
],
"url": "https://api.ai-open-models.com/v1/exa/contents"
},
{
"description": "POST application/json with required non-empty query. Exa-powered search returns ranked URLs and query-relevant highlights. Optional fields are objective, num_results (default 5), category, include_domains, exclude_domains, start_published_date, and end_published_date.",
"method": "POST",
"parameters": [
{
"default": null,
"description": "",
"enumValues": [],
"example": "news",
"group": "body",
"name": "category",
"required": false,
"type": "string"
},
{
"default": null,
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"example": "2026-10-15T00:00:00.000Z",
"group": "body",
"name": "end_published_date",
"required": false,
"type": "string"
},
{
"default": null,
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"example": [],
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"name": "exclude_domains",
"required": false,
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},
{
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"example": [],
"group": "body",
"name": "include_domains",
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"type": "array"
},
{
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"example": 5,
"group": "body",
"name": "num_results",
"required": false,
"type": "number"
},
{
"default": null,
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"enumValues": [],
"example": "Find recent, credible sources explaining production adoption and merchant usage.",
"group": "body",
"name": "objective",
"required": false,
"type": "string"
},
{
"default": null,
"description": "",
"enumValues": [],
"example": "latest developments in x402 payments",
"group": "body",
"name": "query",
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"type": "string"
},
{
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"enumValues": [],
"example": "2026-01-01T00:00:00.000Z",
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}
],
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"network": "eip155:8453",
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},
"providerName": "",
"quality": {
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},
"serviceName": "Web Search",
"tags": [
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"exa",
"research",
"agent-tools"
],
"url": "https://api.ai-open-models.com/v1/exa/search"
},
{
"description": "Fusion Model. Internal reviewers examine the conversation and available tool results, then a final model returns the next OpenAI-compatible response, including tool calls when tools are provided. Supports repeated multi-turn calls, client-executed tools, and JSON responses. Internal review notes are not returned.",
"method": "POST",
"parameters": [
{
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"example": 1024,
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{
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},
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"quality": {
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"l30DaysUniquePayers": "1"
},
"serviceName": "Fusion - Open-Weight Models",
"tags": [
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"llm",
"agentic",
"fusion",
"multi-model"
],
"url": "https://api.ai-open-models.com/v1/fusion/chat/completions"
},
{
"description": "Converts one natural-language task into validated OpenAI-compatible JSON request bodies for multiple open-weight models. Uses the optional models list when supplied; otherwise uses all catalogue models compatible with the input. Supports text, visual input, and model-supported reasoning levels. Returns JSON request bodies only and does not execute inference.",
"method": "POST",
"parameters": [
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"enumValues": [],
"example": [],
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},
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},
"serviceName": "",
"tags": [
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],
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},
{
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{
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},
{
"default": null,
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],
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],
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},
{
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{
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"type": "number"
},
{
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],
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},
{
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{
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},
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},
"serviceName": "LLM Router - Open-Weight Models",
"tags": [
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"llm-routing",
"inference",
"open-weight"
],
"url": "https://api.ai-open-models.com/v1/router/chat/completions"
}
],
"enriched": false,
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"id": "api-ai-open-models-com",
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"priceSummary": {
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},
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"tags": [
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"exa",
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"web-reading",
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"agentic",
"fusion",
"request-builder",
"web-research",
"synthesis",
"llm-routing"
]
},
"source": "agentic_market",
"summary": ""
}What the leaf hashes
{"body":"186fa35398d934fd3191f32b2be5872b200b26b8629b3ecbcbef107840a625c8","id":768,"kind":"listing","method":"baseline/1","observed_us":1793025237351750,"prev":null,"subject":"agentic_market:api-ai-open-models-com","subject_kind":"source_record"}Proof
Its day has not closed yet. A day closes ten minutes after midnight UTC; the proof appears here then.