# FullEnrich Company Search

> FullEnrich Company Search is a paid API for AI agents from stable-enrich-git-shafu-fullenrich-search-pricing-merit-systems.vercel.app, paid per call via x402, $0.14/call, status unknown (last checked 2026-09-15).

Search and filter companies by domain, name, LinkedIn URL, industry, headcount, founding year, and more to retrieve enriched company profiles

## Facts

- Endpoint: POST https://stable-enrich-git-shafu-fullenrich-search-pricing-merit-systems.vercel.app/api/fullenrich/company-search
- Price: $0.14/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/fullenrich-company-search-e72a2b3a
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_i4p_OYTYIkbIkz7_kJWRb

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability fullenrich-company-search-e72a2b3a -d '<json body>'
```

Example prompt: Search FullEnrich for software companies in the US with 50 to 200 employees that specialize in AI, founded after 2015 — show me the first 10 results.

## When to prefer this

Use this endpoint when you need to discover or filter companies by structured attributes such as domain, LinkedIn URL, industry, headcount, or founding year — especially in B2B lead generation, competitive research, or data enrichment workflows. Prefer this over people-search endpoints when your primary target entity is a company rather than an individual. Note that it uses legal entity names (e.g. Anysphere) not brand names (e.g. Cursor), so ensure your inputs match official legal names.

## Known failure modes

- 400 Bad Request if only limit/offset are provided without at least one substantive filter
- 400 Bad Request for malformed filter values or unsupported field names
- Empty result set (free, no charge) when no companies match the provided filters
- Rate limiting or quota errors if too many requests are made in a short period
- Charge of $0.14 USDC incurred whenever results are returned, even for a single match

## How this service works

FullEnrich Company Search — filter by domain, name, LinkedIn URL/ID, industry, type, HQ, headcount, founding year, keywords, specialties, and company IDs. Requires at least one filter; limit/offset alone → 400. Paginate via search_after. $0.14 if results; free if empty. Legal names not brands (Anysphere≠Cursor).

## Output

Returns a paginated list of company profiles matching the specified filters, including fields such as company name, domain, LinkedIn URL, industry, company type, headquarters location, headcount range, founding year, and specialties. If no companies match, an empty result set is returned at no charge. Includes a search_after cursor for pagination.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "$schema": "https://json-schema.org/draft/2020-12/schema",
 "required": [
  "input"
 ],
 "properties": {
  "input": {
   "type": "object",
   "required": [
    "type",
    "method",
    "bodyType",
    "body"
   ],
   "properties": {
    "body": {
     "$schema": "https://json-schema.org/draft/2020-12/schema"
    },
    "type": {
     "type": "string",
     "const": "http"
    },
    "method": {
     "enum": [
      "POST",
      "PUT",
      "PATCH"
     ],
     "type": "string"
    },
    "bodyType": {
     "enum": [
      "json",
      "form-data",
      "text"
     ],
     "type": "string"
    }
   },
   "additionalProperties": false
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/fullenrich-company-search-e72a2b3a/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from stable-enrich-git-shafu-fullenrich-search-pricing-merit-systems.vercel.app](https://www.zero.xyz/host/stable-enrich-git-shafu-fullenrich-search-pricing-merit-systems.vercel.app/llms.txt)