anyapi_linkedin_ads_search $0.0015 per call
LinkedIn Ad Search. Search the LinkedIn Ad Library by company or keyword and list matching ads (advertiser, headline, creative text, format, CTA, and run dates) with pagination. (AnyAPI · LinkedIn)
For AI agents: call anyapi_linkedin_ads_search
POST https://toll402.dev/v1/p/anyapi.linkedin.ads_search
{
"company": "microsoft"
}Answers 402 with x402 payment requirements; pay with any x402 client (@x402/fetch, x402 for Python, toll402-client, toll402-mcp) or send a prepaid-credits key as x-toll402-key (https://toll402.dev/credits). Paid per call via x402 (USDC on Base) or with a prepaid-credits key (x-toll402-key, card at /credits); charged only on success. Start at /llms.txt or connect the MCP server:
npx -y toll402-mcp · remote https://toll402.dev/mcp.Input schema
{
"type": "object",
"properties": {
"company": {
"type": "string",
"description": "Company name to search (e.g. \"microsoft\").",
"examples": [
"microsoft"
]
},
"companyId": {
"type": "string",
"description": "LinkedIn company identifier."
},
"countries": {
"type": "string",
"description": "Comma-separated two-letter country codes (e.g. \"US,CA,MX\")."
},
"endDate": {
"type": "string",
"description": "Search end date in YYYY-MM-DD format."
},
"keyword": {
"type": "string",
"description": "Keyword term for the ad search."
},
"paginationToken": {
"type": "string",
"description": "Opaque pagination token from a previous response's nextCursor."
},
"startDate": {
"type": "string",
"description": "Search start date in YYYY-MM-DD format."
}
},
"additionalProperties": true
}
MCP
{"mcpServers":{"toll402":{"command":"npx","args":["-y","toll402-mcp"],"env":{"TOLL402_WALLET_KEY":"0x..."}}}}