parallel_companies_search $0.00625 per call
Search companies by description. Return ranked companies matching a plain-language description, each with a URL and summary. (Parallel · Company data)
For AI agents: call parallel_companies_search
POST https://toll402.dev/v1/p/parallel.companies.search
{
"entity_type": "companies",
"objective": "Open source vector database companies",
"match_limit": 5
}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": {
"entity_type": {
"type": "string",
"enum": [
"companies"
],
"examples": [
"companies"
]
},
"objective": {
"type": "string",
"description": "Describe the companies in words: product, stage, industry, location.",
"examples": [
"Open source vector database companies"
]
},
"match_limit": {
"type": "integer",
"description": "Most entities to return; may return fewer. Parallel allows up to 1,000 at $0.00005 per entity past 100; a team's own raw tool can ask for more.",
"default": 100,
"examples": [
5
]
}
},
"additionalProperties": true,
"required": [
"entity_type",
"objective"
],
"description": "Each entity is {name, url, description}; url is usually a LinkedIn company page and can repeat one company under regional hosts. An objective that matches nothing answers 200 with an empty entities list. Public beta."
}
MCP
{"mcpServers":{"toll402":{"command":"npx","args":["-y","toll402-mcp"],"env":{"TOLL402_WALLET_KEY":"0x..."}}}}