herohunt.ai valid

Automatically discovered from public files. Ownership management is optional. Inclusion does not imply endorsement or publisher participation.

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Claim my listing on Agent Web Map for herohunt.ai:
1. POST https://agentwebmap.com/v1/sites/herohunt.ai/claims and keep claim_id and claim_secret private.
2. Publish the proof: add the line "AgentWebMap ownership: <token>" (token from step 1) to https://herohunt.ai/llms.txt, or use the DNS, meta-tag or well-known method the response describes.
3. POST https://agentwebmap.com/v1/sites/herohunt.ai/verify with {"claim_id": "...", "claim_secret": "..."}.
4. Save the api_key from the answer; it manages the listing (PATCH https://agentwebmap.com/v1/sites/herohunt.ai).
MCP equivalent: tools begin_ownership_claim, then verify_domain, at https://agentwebmap.com/mcp. Docs: https://agentwebmap.com/docs#verify

Corrections or removal requests: contact the directory. Ownership management is optional.

HeroHunt People Search API

Enterprise-grade people search and enrichment API. Search for talent profiles across GitHub, StackOverflow, and the web using natural language queries.

Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-20T22:14:30.761Z. Cached copy · Source on herohunt.ai

# HeroHunt People Search API

> Enterprise-grade people search and enrichment API. Search for talent profiles across GitHub, StackOverflow, and the web using natural language queries.

## Getting Started

Sign up at https://www.herohunt.ai/app/api/sign-up to get your API key.
API documentation: https://www.herohunt.ai/people-search-api

## Python SDK

Official typed Python SDK. Install with `pip install herohunt`.

```python
from herohunt import HeroHunt

client = HeroHunt()  # reads HEROHUNT_API_KEY from env

result = client.people_search.search(
    "Senior React engineers in Berlin with TypeScript",
    max_results=50,
    enrich=True,
)
for profile in result.results:
    print(profile.first_name, profile.headline, profile.profile_url)
```

Sync (`HeroHunt`) and async (`AsyncHeroHunt`) clients share the same surface.
Typed errors: `AuthenticationError`, `InsufficientCreditsError`, `RateLimitError`, `BadRequestError`, `ServerError`.
PyPI: https://pypi.org/project/herohunt/
Source: https://github.com/herohunt-ai/herohunt-python

## MCP Server (Model Context Protocol)

HeroHunt exposes its People Search API as a hosted MCP server. Connect any MCP-compatible client (Claude Desktop, Cursor, ChatGPT Desktop, VS Code) in one step.

Endpoint: https://api.herohunt.ai/api/v1/mcp
Transport: Streamable HTTP (stateless)
Auth: Bearer token or x-api-key header

### Quick Setup (Claude Desktop / Cursor)

Add to your MCP config:
```json
{
  "mcpServers": {
    "herohunt-people-search": {
      "url": "https://api.herohunt.ai/api/v1/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_KEY"
      }
    }
  }
}
```

Or install the npm package for stdio mode:
```
npx herohunt-mcp
```
…

Help agents understand your site

Optionally manage your description, publish terms for agents, review file health, measured discovery requests, publisher clicks and score history. Confirm domain control in your browser using a fresh token in your llms.txt, DNS, meta tag or well-known file. No backlink is required.

Manage this listing → · Agent and API instructions

Machine-readable: GET /v1/resolve?q=herohunt.ai · GET /v1/domain/herohunt.ai · this page as Accept: application/json or text/markdown · MCP lookup_domain