80trust / 100

People Search

by Oblique Markets in Company & people data

x402 APIPassing, checked 3 h ago

Use when an agent needs people search. Returns People search for agents over a rich filter vocabulary (names, locations, skills, titles, seniority, company name/domain/industry/HQ/specialties), with bounded public-reference results and explicit nulls for private contact and employment fields. $0.10.

POST https://api.oblique.markets/api/v1/paid/people-search

Last 30 days

All checks passedSome failedAll failedNot checked
Uptime
100%
Response time
149 ms typical, 470 ms slowest 5%
Last check
3 h ago
Next check
any minute now

How to call it

# See the payment challenge (nothing is charged)
curl -i -X POST "https://api.oblique.markets/api/v1/paid/people-search" \
  -H "content-type: application/json" \
  -d '{"current_company_domains":[{"value":"example"}],"current_company_headquarters":[{"value":"example"}],"current_company_industries":[{"value":"example"}],"current_company_names":[{"value":"example"}],"current_company_specialties":[{"value":"example"}],"current_position_seniority_level":[{"value":"example"}],"current_position_titles":[{"value":"example"}],"limit":1,"offset":1,"person_locations":[{"value":"example"}],"person_names":[{"value":"example"}],"person_skills":[{"value":"example"}],"search_after":"example"}'
import { wrapFetchWithPayment } from "@x402/fetch";
import { x402Client } from "@x402/core/client";
import { ExactEvmScheme } from "@x402/evm/exact/client";
import { privateKeyToAccount } from "viem/accounts";

const client = new x402Client().register(
  "eip155:8453",
  new ExactEvmScheme(privateKeyToAccount(process.env.AGENT_KEY)),
);
const pay = wrapFetchWithPayment(fetch, client);

// Not sure it's safe to pay? Preflight it first for $0.005:
// GET https://toolvet.app/api/v1/check?url=https%3A%2F%2Fapi.oblique.markets%2Fapi%2Fv1%2Fpaid%2Fpeople-search
const res = await pay("https://api.oblique.markets/api/v1/paid/people-search", {
  method: "POST",
  headers: { "content-type": "application/json" },
  body: JSON.stringify({"current_company_domains":[{"value":"example"}],"current_company_headquarters":[{"value":"example"}],"current_company_industries":[{"value":"example"}],"current_company_names":[{"value":"example"}],"current_company_specialties":[{"value":"example"}],"current_position_seniority_level":[{"value":"example"}],"current_position_titles":[{"value":"example"}],"limit":1,"offset":1,"person_locations":[{"value":"example"}],"person_names":[{"value":"example"}],"person_skills":[{"value":"example"}],"search_after":"example"}),
});
console.log(await res.json());

Example input

{
  "current_company_domains": [
    {
      "value": "example"
    }
  ],
  "current_company_headquarters": [
    {
      "value": "example"
    }
  ],
  "current_company_industries": [
    {
      "value": "example"
    }
  ],
  "current_company_names": [
    {
      "value": "example"
    }
  ],
  "current_company_specialties": [
    {
      "value": "example"
    }
  ],
  "current_position_seniority_level": [
    {
      "value": "example"
    }
  ],
  "current_position_titles": [
    {
      "value": "example"
    }
  ],
  "limit": 1,
  "offset": 1,
  "person_locations": [
    {
      "value": "example"
    }
  ],
  "person_names": [
    {
      "value": "example"
    }
  ],
  "person_skills": [
    {
      "value": "example"
    }
  ],
  "search_after": "example"
}

Example output

{
  "bounded": true,
  "metadata": {
    "limit": 1,
    "offset": 0,
    "returned": 1,
    "search_after": null,
    "total": 1
  },
  "people": [
    {
      "current_company": null,
      "current_position": null,
      "email": null,
      "first_name": "Ada",
      "full_name": "Ada Lovelace",
      "id": "https://en.wikipedia.org/wiki/Ada_Lovel…",
      "last_name": "Lovelace",
      "location": null,
      "phone": null,
      "professional_network_url": null,
      "source": "Wikimedia Wikipedia public search",
      "source_url": "https://en.wikipedia.org/wiki/Ada_Lovel…",
      "summary": "English mathematician and writer."
    }
  ],
  "source": "Wikimedia Wikipedia public search"
}

Security scan

  • No findings. We scan names, descriptions and tool definitions for hidden instructions and other prompt-injection patterns.

Recent checks

WhenResultHTTPTimePrice
3 h agoPassed402149 ms$0.1
6 h agoPassed402126 ms$0.1
10 h agoPassed402432 ms$0.1
14 h agoPassed402470 ms$0.1
17 h agoPassed402335 ms$0.1
21 h agoPassed402622 ms$0.1
24 h agoPassed402124 ms$0.1
29 h agoPassed402116 ms$0.1
32 h agoPassed402126 ms$0.1
35 h agoPassed402333 ms$0.1
40 h agoPassed402125 ms$0.1