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AgentUtility Keyword Suggest
x402
AgentUtility Keyword Suggest is a paid API for AI agents from x402.agentutility.ai, paid per call via x402, $0.002/call, status unknown (last checked 2026-09-13).
Aggregates and deduplicates autocomplete suggestions from Wikipedia OpenSearch and DuckDuckGo into a ranked keyword list for SEO research and query expansion
Price / call$0.002
Success—
StatusUnknown
How this service works
Keyword autocomplete / search suggest / SEO keyword research / query expansion / autocomplete suggestions. Aggregates suggestions from Wikipedia OpenSearch + DuckDuckGo's autocomplete (both public, no auth) into a de-duplicated ranked list. Useful for SEO content-gap analysis, LLM query expansion, agent-driven research.
Output
Returns a JSON object containing the original query, language, result count, a ranked de-duplicated list of keyword suggestions, per-source counts (Wikipedia and DuckDuckGo), and attribution text. The suggestions are aggregated from both Wikipedia OpenSearch and DuckDuckGo Instant Answer APIs.
Example use cases
SEO content gap analysis
“I'm writing a blog series on 'electric vehicles' — can you get me the top 10 autocomplete keyword suggestions ranked by relevance so I can find content angles I haven't covered yet?”
LLM query expansion for research
“I'm building a research pipeline on 'climate change mitigation' — pull up to 20 keyword suggestions from all sources so I can expand my search queries and cover more ground.”
Seed keyword brainstorming for PPC
“I need keyword ideas for a paid search campaign around 'project management software' — can you grab the top 10 autocomplete suggestions ranked by relevance to help me build out my keyword list?”
Technical details
Endpoint
POSThttps://x402.agentutility.ai/keyword-suggestWhen to prefer
Choose this endpoint when you need fast, free-of-auth keyword suggestions aggregated from two reputable public sources (Wikipedia and DuckDuckGo) in a single call. Ideal for SEO content-gap analysis, LLM query expansion, and agent-driven research pipelines where diversity of suggestion sources matters. Prefer this over single-source autocomplete APIs when you want broader coverage and de-duplication handled automatically. Best for programmatic, high-volume keyword ideation at low cost ($0.002 per call via USDC on Base).
Side effects
- Upstream API unavailability from Wikipedia or DuckDuckGo may reduce or eliminate suggestions
- Query returning zero results if the topic is too niche or misspelled
- Payment failure via x402 protocol if insufficient USDC balance
- Rate limiting or timeout from underlying public APIs causing partial results
- Duplicate filtering may reduce count below requested limit if sources overlap heavily
Input
{
"sort": "relevance",
"type": "story",
"limit": 10,
"query": "artificial intelligence"
}Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
{
"lang": "en",
"count": 10,
"limit": 10,
"query": "artificial intelligence",
"source": "all",
"_provider": "agentutility.ai",
"_canonical": "https://x402.agentutility.ai/keyword-suggest",
"per_source": {
"wikipedia": {
"count": 10
},
"duckduckgo": {
"count": 8
}
},
"attribution": "Sources: Wikipedia OpenSearch + DuckDuckGo Instant Answer (public APIs).",
"suggestions": [
"Artificial intelligence",
"Artificial intelligence in video games",
"Artificial intelligence in music",
"Artificial intelligence in healthcare",
"Artificial intelligence industry in China",
"Artificial intelligence arms race",
"Artificial intelligence and copyright",
"Artificial intelligence in India",
"Artificial intelligence controversies",
"Artificial Intelligence Act"
]
}Schema · Response
{
"type": "json",
"example": {
"count": 5,
"query": "ethereum",
"per_source": {
"wikipedia": {
"count": 5
},
"duckduckgo": {
"count": 5
}
},
"attribution": "Sources: Wikipedia OpenSearch + DuckDuckGo Instant Answer (public APIs).",
"suggestions": [
"Ethereum",
"Ethereum classic",
"Ethereum 2.0",
"Ethereum price",
"Ethereum wallet"
]
}
}Tags
x402
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