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scopeapi.dev
·
2026-10-11 18:31:02 UTC
·
256e7d84ab0142a3fc4f5895605382b76e00cb9a2dffa1820f0a1b2342e5dfad
This is a frozen copy of the agent's agent-card.json as we observed it at the timestamp above. We capture a new snapshot every time the card's content hash changes. Useful for: forensic drift analysis, verifying downstream callers see the right version, reproducing routing decisions made historically.
{
"_source": "agentic.market",
"service": {
"id": "scopeapi-dev",
"name": "scopeapi.dev",
"description": "",
"domain": "scopeapi.dev",
"provider": "scopeapi.dev",
"providerUrl": "",
"category": "",
"networks": [
"Base",
"solana:5eykt4usfv8p8njdtrepy1vzqkqzkvdp"
],
"enriched": false,
"endpoints": [
{
"url": "https://scopeapi.dev/answer",
"description": "Answer a research question using current web sources. Returns a concise cited web answer with supporting facts, citations, source URLs, and a search timestamp.",
"pricing": {
"amount": "0.02",
"currency": "USDC",
"network": "eip155:8453",
"scheme": "exact",
"maxAmount": "",
"minAmount": ""
},
"method": "POST",
"providerName": "",
"parameters": [
{
"group": "body",
"name": "query",
"type": "string",
"description": "",
"example": "What is x402?",
"enumValues": [],
"default": null,
"required": false
}
],
"serviceName": "SCOPE Research API",
"tags": [
"answer with sources",
"web answer",
"research question",
"citations",
"current web"
],
"quality": {
"l30DaysTotalCalls": "3",
"l30DaysUniquePayers": "3"
}
},
{
"url": "https://scopeapi.dev/company-research",
"description": "Research a company and return company intelligence using current public sources. Covers business facts, products, competitors, competitor analysis, recent developments, risks, positioning, and citations.",
"pricing": {
"amount": "0.04",
"currency": "USDC",
"network": "eip155:8453",
"scheme": "exact",
"maxAmount": "",
"minAmount": ""
},
"method": "POST",
"providerName": "",
"parameters": [
{
"group": "body",
"name": "company",
"type": "string",
"description": "",
"example": "OpenAI",
"enumValues": [],
"default": null,
"required": false
}
],
"serviceName": "SCOPE Research API",
"tags": [
"company research",
"company intelligence",
"business intelligence",
"competitor analysis",
"research a company"
],
"quality": {
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"l30DaysUniquePayers": "2"
}
},
{
"url": "https://scopeapi.dev/compare",
"description": "Compare two companies, products, services, technologies, tools, topics, or other options side by side using current research. Returns an evidence-backed comparison with explicit criteria, differences, tradeoffs, advantages, disadvantages, citations, and sources.",
"pricing": {
"amount": "0.05",
"currency": "USDC",
"network": "eip155:8453",
"scheme": "exact",
"maxAmount": "",
"minAmount": ""
},
"method": "POST",
"providerName": "",
"parameters": [
{
"group": "body",
"name": "criteria",
"type": "array",
"description": "",
"example": [],
"enumValues": [],
"default": null,
"required": false
},
{
"group": "body",
"name": "left",
"type": "string",
"description": "",
"example": "OpenAI",
"enumValues": [],
"default": null,
"required": false
},
{
"group": "body",
"name": "right",
"type": "string",
"description": "",
"example": "Anthropic",
"enumValues": [],
"default": null,
"required": false
}
],
"serviceName": "SCOPE Research API",
"tags": [
"compare companies",
"compare products",
"company comparison",
"product comparison",
"side by side comparison"
],
"quality": {
"l30DaysTotalCalls": "3",
"l30DaysUniquePayers": "1"
}
},
{
"url": "https://scopeapi.dev/data-analysis",
"description": "Python Data Analysis",
"pricing": {
"amount": "0.07",
"currency": "USDC",
"network": "eip155:8453",
"scheme": "exact",
"maxAmount": "",
"minAmount": ""
},
"method": "POST",
"providerName": "",
"parameters": [
{
"group": "body",
"name": "data",
"type": "string",
"description": "",
"example": "month,revenue\nJan,120\nFeb,180\nMar,150",
"enumValues": [],
"default": null,
"required": false
},
{
"group": "body",
"name": "format",
"type": "string",
"description": "",
"example": "csv",
"enumValues": [],
"default": null,
"required": false
},
{
"group": "body",
"name": "query",
"type": "string",
"description": "",
"example": "Calculate the average revenue and identify the largest value.",
"enumValues": [],
"default": null,
"required": false
}
],
"serviceName": "",
"tags": [],
"quality": {
"l30DaysTotalCalls": "1",
"l30DaysUniquePayers": "1"
}
},
{
"url": "https://scopeapi.dev/ecommerce-research",
"description": "Research an ecommerce store, online business, or ecommerce market using current public sources. Returns store analysis, categories, positioning, pricing patterns, offers, policies, competitors, market research, and citations.",
"pricing": {
"amount": "0.04",
"currency": "USDC",
"network": "eip155:8453",
"scheme": "exact",
"maxAmount": "",
"minAmount": ""
},
"method": "POST",
"providerName": "",
"parameters": [
{
"group": "body",
"name": "store",
"type": "string",
"description": "",
"example": "Example Store",
"enumValues": [],
"default": null,
"required": false
}
],
"serviceName": "SCOPE Research API",
"tags": [
"ecommerce research",
"store research",
"ecommerce market research",
"online store analysis",
"competitor research"
],
"quality": {
"l30DaysTotalCalls": "2",
"l30DaysUniquePayers": "2"
}
},
{
"url": "https://scopeapi.dev/embeddings",
"description": "Generate text embeddings and semantic embedding vectors using OpenAI text-embedding-3-small for vector search, semantic similarity, clustering, retrieval, and RAG workflows.",
"pricing": {
"amount": "0.003",
"currency": "USDC",
"network": "eip155:8453",
"scheme": "exact",
"maxAmount": "",
"minAmount": ""
},
"method": "POST",
"providerName": "",
"parameters": [
{
"group": "body",
"name": "input",
"type": "string",
"description": "",
"example": "Semantic search for agent payments",
"enumValues": [],
"default": null,
"required": false
}
],
"serviceName": "SCOPE Research API",
"tags": [
"text embeddings",
"embedding vectors",
"vector search",
"semantic similarity",
"retrieval"
],
"quality": {
"l30DaysTotalCalls": "5",
"l30DaysUniquePayers": "5"
}
},
{
"url": "https://scopeapi.dev/file-research",
"description": "File Research",
"pricing": {
"amount": "0.03",
"currency": "USDC",
"network": "eip155:8453",
"scheme": "exact",
"maxAmount": "",
"minAmount": ""
},
"method": "POST",
"providerName": "",
"parameters": [
{
"group": "body",
"name": "file",
"type": "string",
"description": "",
"example": "(binary)",
"enumValues": [],
"default": null,
"required": false
},
{
"group": "body",
"name": "query",
"type": "string",
"description": "",
"example": "What are the main findings and important numbers in this document?",
"enumValues": [],
"default": null,
"required": false
}
],
"serviceName": "",
"tags": [],
"quality": {
"l30DaysTotalCalls": "1",
"l30DaysUniquePayers": "1"
}
},
{
"url": "https://scopeapi.dev/news-research",
"description": "Research current news, latest news, and recent developments using public sources. Returns a sourced news timeline, key facts, uncertainty, disagreements, citations, and source URLs.",
"pricing": {
"amount": "0.03",
"currency": "USDC",
"network": "eip155:8453",
"scheme": "exact",
"maxAmount": "",
"minAmount": ""
},
"method": "POST",
"providerName": "",
"parameters": [
{
"group": "body",
"name": "query",
"type": "string",
"description": "",
"example": "Latest AI news",
"enumValues": [],
"default": null,
"required": false
}
],
"serviceName": "SCOPE Research API",
"tags": [
"news research",
"latest news",
"current news",
"news with sources",
"current events"
],
"quality": {
"l30DaysTotalCalls": "2",
"l30DaysUniquePayers": "1"
}
},
{
"url": "https://scopeapi.dev/product-research",
"description": "Product Research & Alternatives",
"pricing": {
"amount": "0.04",
"currency": "USDC",
"network": "eip155:8453",
"scheme": "exact",
"maxAmount": "",
"minAmount": ""
},
"method": "POST",
"providerName": "",
"parameters": [
{
"group": "body",
"name": "product",
"type": "string",
"description": "",
"example": "MacBook Air",
"enumValues": [],
"default": null,
"required": false
}
],
"serviceName": "",
"tags": [],
"quality": {
"l30DaysTotalCalls": "1",
"l30DaysUniquePayers": "1"
}
},
{
"url": "https://scopeapi.dev/research",
"description": "Perform deep web research on any topic using multiple current sources. Returns a detailed research report with citations, source URLs, evidence, conflicting information, uncertainty, and a source-backed synthesis.",
"pricing": {
"amount": "0.05",
"currency": "USDC",
"network": "eip155:8453",
"scheme": "exact",
"maxAmount": "",
"minAmount": ""
},
"method": "POST",
"providerName": "",
"parameters": [
{
"group": "body",
"name": "query",
"type": "string",
"description": "",
"example": "Research x402 adoption",
"enumValues": [],
"default": null,
"required": false
}
],
"serviceName": "SCOPE Research API",
"tags": [
"deep research",
"web research with sources",
"research report",
"research with citations",
"multi-source research"
],
"quality": {
"l30DaysTotalCalls": "2",
"l30DaysUniquePayers": "1"
}
},
{
"url": "https://scopeapi.dev/website-research",
"description": "Research and analyze a website or business website using public web evidence. Returns website analysis covering offerings, positioning, pricing, trust signals, competitors, recent mentions, and cited sources.",
"pricing": {
"amount": "0.03",
"currency": "USDC",
"network": "eip155:8453",
"scheme": "exact",
"maxAmount": "",
"minAmount": ""
},
"method": "POST",
"providerName": "",
"parameters": [
{
"group": "body",
"name": "url",
"type": "string",
"description": "",
"example": "https://example.com",
"enumValues": [],
"default": null,
"required": false
}
],
"serviceName": "SCOPE Research API",
"tags": [
"website research",
"website analysis",
"analyze a website",
"research a website",
"business website"
],
"quality": {
"l30DaysTotalCalls": "2",
"l30DaysUniquePayers": "1"
}
}
],
"integrationType": "",
"isNew": false,
"priceSummary": {
"minAmount": "0.003",
"maxAmount": "0.07",
"avgCostPerTransaction": "0.036636",
"avgCostBasis": "exact",
"currency": "USDC"
},
"serviceName": "SCOPE Research API",
"tags": [
"answer with sources",
"web answer",
"research question",
"citations",
"current web",
"company research",
"company intelligence",
"business intelligence",
"competitor analysis",
"research a company",
"compare companies",
"compare products",
"company comparison",
"product comparison",
"side by side comparison",
"ecommerce research",
"store research",
"ecommerce market research",
"online store analysis",
"competitor research",
"text embeddings",
"embedding vectors",
"vector search",
"semantic similarity",
"retrieval",
"news research",
"latest news",
"current news",
"news with sources",
"current events",
"deep research",
"web research with sources",
"research report",
"research with citations",
"multi-source research",
"website research",
"website analysis",
"analyze a website",
"research a website",
"business website"
],
"iconUrl": ""
}
}