Orthogonal - Giving AI agents the tools they need.

POST/v1/multi-source/search

Multi-source AI search. Searches across multiple data sources using natural language. Pricing coming soon from Fiber.

Fiber AI·Dynamic pricing

Dynamic pricing

get(body, 'search.pageSize', 10) * 0.02

Example code

// Using @orth/sdk - The simplest way to call APIs
// Install: npm install @orth/sdk
import Orthogonal from "@orth/sdk";

const orthogonal = new Orthogonal({
  apiKey: process.env.ORTHOGONAL_API_KEY,
});

const output = await orthogonal.run({
  api: "fiber",
  path: "/v1/multi-source/search",
  body: {
    "search": {}
  }
});

console.log(output);

Body parameters

searchrequired

object

For initial: {request:'initial', query:'...', pageSize:10}. For pagination: {request:'subsequent', cursor:'...'}

Response

output.data.type

string

output.data.results.0.city

string

output.data.results.0.name

string

output.data.results.0.domain

string

output.data.results.0.industry

string

output.data.results.0.websiteUrl

string

output.data.results.0.countryCode

string

output.data.results.0.description

string

output.data.results.0.foundedYear

number

output.data.results.0.linkedinUrl

string

output.data.results.0.employeeCount

number

output.message

string

output.nextCursor

string

chargeInfo.method

string

chargeInfo.creditsCharged

number