# NetIntel Contact Extractor

> NetIntel Contact Extractor is a paid API for AI agents from netintel.dev, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-15).

Extracts structured contact information (name, email, phone, title, address, company) from a given source and grades the completeness of the result

## Facts

- Endpoint: POST https://netintel.dev/extract/contact
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/netintel-contact-extractor-b8b12045
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_mX01aHZJUx3JB7aakgjAz

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 netintel-contact-extractor-b8b12045 -d '<json body>'
```

Example prompt: Extract all the contact information you can find for acme.com — I need the name, email, phone number, job title, and address of their main contact, and tell me how complete the result is.

## When to prefer this

Use this endpoint when you need to extract structured, graded contact information from a specific domain or URL and want a quality score indicating how complete the data is. Prefer it over generic scrapers when you need normalized contact fields (name, email, phone, title, address, company) with a reliability grade, especially in B2B lead generation or outreach enrichment workflows.

## Known failure modes

- No contact information found for the given domain — returns empty contact fields and a low score
- Domain is unreachable or invalid — returns an error or zero-score result
- Contact data is sparse — partial fields returned with low grade and reduced score
- Payment failure via x402 — request rejected before processing
- Rate limiting or API key issues — 402 or 429 response

## How this service works

Extract structured contact details from text, an email signature, or webpage text using Claude Haiku — returns name, title, company, email, phone, and address as clean JSON so agents can turn unstructured contact blocks into CRM-ready records in one call.

## Output

Returns a JSON object with a letter grade (e.g. 'A') and numeric score (0–100) indicating completeness, a cached flag, and a contact object containing any found fields: name, email, phone, title, address, company. Also includes a findings array for any notes and a count of how many fields were successfully found.

## Request schema (JSON Schema)

```json
{
 "$schema": "https://json-schema.org/draft/2020-12/schema",
 "type": "object",
 "properties": {
  "input": {
   "type": "object",
   "properties": {
    "type": {
     "type": "string",
     "const": "http"
    },
    "method": {
     "type": "string",
     "enum": [
      "POST"
     ]
    },
    "bodyType": {
     "type": "string",
     "enum": [
      "json",
      "form-data",
      "text"
     ]
    },
    "body": {
     "type": "object",
     "properties": {
      "text": {
       "type": "string",
       "description": "The text to extract contact details from — free text, an email signature, or webpage text. Max 10000 words or 50KB."
      }
     },
     "required": [
      "text"
     ]
    }
   },
   "required": [
    "type",
    "method",
    "bodyType",
    "body"
   ],
   "additionalProperties": false
  },
  "output": {
   "type": "object",
   "properties": {
    "type": {
     "type": "string"
    },
    "example": {
     "type": "object",
     "properties": {
      "contact": {
       "type": "object",
       "description": "Parsed contact fields: name, title, company, email, phone, address. Missing fields are null."
      },
      "fields_found": {
       "type": "number",
       "description": "Count of non-null contact fields."
      },
      "cached": {
       "type": "boolean",
       "description": "True if served from the in-memory cache."
      },
      "score": {
       "type": "number",
       "description": "Quality score 0-100"
      },
      "grade": {
       "type": "string",
       "description": "Letter grade A-F"
      },
      "findings": {
       "type": "array",
       "items": {
        "type": "string"
       },
       "description": "Informational findings (e.g. no_fields_found)."
      }
     }
    }
   },
   "required": [
    "type"
   ]
  }
 },
 "required": [
  "input"
 ]
}
```

## Response schema (JSON Schema)

```json
{
 "type": "json",
 "example": {
  "grade": "A",
  "score": 100,
  "cached": false,
  "contact": {
   "name": "Jane Doe",
   "email": "jane@acme.com",
   "phone": "+1 555 867 5309",
   "title": "VP of Engineering",
   "address": "123 Main St, San Francisco, CA 94105",
   "company": "Acme Corp"
  },
  "findings": [],
  "fields_found": 6
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/netintel-contact-extractor-b8b12045/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from netintel.dev](https://www.zero.xyz/host/netintel.dev/llms.txt)