# PredictLeads Get Company Connections

> PredictLeads Get Company Connections is a paid API for AI agents from agents.predictleads.com, paid per call via MPP, $0.040000/call, status unknown (last checked 2026-10-27).

Returns a paginated list of categorized business connections (partnerships, integrations, vendor relationships, etc.) for a specified company, including context and source URLs.

## Facts

- Endpoint: GET https://agents.predictleads.com/api/v3/companies/{company_id_or_domain}/connections?utm_source=zero.xyz
- Price: $0.040000/call
- Payment: MPP
- Status: unknown
- Last checked: 2026-10-27
- Activations on Zero: 0
- Provider: agents.predictleads.com
- Website: https://agents.predictleads.com
- Canonical page: https://www.zero.xyz/c/agents-predictleads-com-predictleads-get-company-connections-e77b9304
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_vL2syRwtpVyvMAWcf2S5H

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 agents-predictleads-com-predictleads-get-company-connections-e77b9304
```

Example prompt: Pull all the business connections for stripe.com from PredictLeads — I want to see their partnerships, vendor relationships, and integrations, filtered to only the ones first detected since January 2024.

## When to prefer this

Use this endpoint when you need structured, categorized relationship data between a specific company and its business partners, vendors, customers, or integration targets — especially when you need source provenance, categorized relationship types, and date-range filtering. Prefer this over generic web search when you need clean, machine-readable B2B relationship data at scale across 120M+ companies.

## Known failure modes

- Invalid or unknown company_id_or_domain returns empty data array
- Invalid category enum value may return a 400 or empty results
- Pagination beyond available records returns empty data
- Rate limiting or authentication failure returns 401/429
- Truncated or missing context if source page was not parseable

## How this service works

Returns a list of company's Connections.

## Output

A paginated JSON array of Connection objects, each including a unique ID, relationship category (e.g. partner, vendor, integration, customer), a natural-language context summary of how the two companies work together, source URL and individual source URL, first/last seen timestamps, confidence score, and source category. Included sidecar objects provide company names and domains for both parties in the relationship.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "required": [
  "company_id_or_domain"
 ],
 "properties": {
  "page": {
   "type": "integer",
   "default": 1,
   "minimum": 1,
   "description": "Page number of shown items.\n<br>\n**NOTE**: If the parameter is not provided, the meta property `count` will be omitted from response for\nperformance reasons.\n"
  },
  "limit": {
   "type": "integer",
   "default": 100,
   "maximum": 1000,
   "description": "Limit the number of shown items per page."
  },
  "categories": {
   "type": "array",
   "items": {
    "type": "string",
    "oneOf": [
     {
      "const": "partner",
      "description": "**Read as**: Company1 is a partner of Company2.\n<br>\nA partner relationship signals a collaboration between companies that goes both in two directions.\nYou will find such connections using titles as \"We work with\", \"Our partners\", \"The company we keep\",\nand other titles similar in meaning. The implications of this category\ncan be quite wide in their meaning, but in general all partnerships are a positive signal.\n<br>\n**NOTE**: Until February 2024 the `partner` category did not always signal a true partnership\nbetween two companies, but it also included a tighter knit relationship compared to the `other`\ncategory, which are not always as strong as the partner keyword suggests.\nThe meaning is now correctly followed for all new cases or cases that have been last seen since\nand still have the `partner` category.\n"
     },
     {
      "const": "vendor",
      "description": "**Read as**: Company1 is a vendor to Company2.\n<br>\nThe vendor category is much simpler in its meaning. It simply means that company1 is a supplier\nfor company2 in some way. Some vendor connections signal a more positive relationship, depending\non the source category. For example, a vendor relationship with a testimonial section/page source\ncategory is a stronger positive signal. On a webpage, such connections can be seen in lists such as\n\"Our customers\", \"Trusted by\", \"Enabling businesses to\", etc.\n<br>\nFor example, to be a vendor to Microsoft, the company has to pass certain requirements as to\ncompany size, product reliability, safety, etc. This can be seen as a vetting process of some sort\nand increases the company's trustworthiness.\n<br>\nThe vendor category can also be used to determine the supply chain of a certain company and evaluate\nsupply chain risks.\n"
     },
     {
      "const": "integration",
      "description": "**Read as**: 
… (truncated)
```

## Response schema (JSON Schema)

```json
{
 "type": "object",
 "title": "ConnectionsDataset",
 "$schema": "https://json-schema.org/draft/2020-12/schema",
 "example": {
  "data": [
   {
    "id": "587e4f3f-8149-4918-8a30-89190fa582f8",
    "type": "connection",
    "attributes": {
     "context": "Yuno partners with Adyen to integrate its global payment solutions, enhancing transaction processing capabilities and unlocking revenue opportunities for businesses. This collaboration ensures seamless integration with various payment providers and fraud solutions, fostering mutual success.",
     "category": "integration",
     "confidence": null,
     "source_url": "https://y.uno/integrations",
     "last_seen_at": "2026-06-30T11:16:19Z",
     "first_seen_at": "2023-08-02T21:20:41Z",
     "source_category": "integration_page",
     "individual_source_url": "https://www.y.uno/partner/adyen"
    },
    "relationships": {
     "company1": {
      "data": {
       "id": "edb175f8-51be-53ef-8af5-bec04dc3a402",
       "type": "company"
      }
     },
     "company2": {
      "data": {
       "id": "94d705f4-6650-5055-b643-62d0740cdfa3",
       "type": "company"
      }
     },
     "technology": {
      "data": null
     }
    }
   }
  ],
  "meta": {
   "record_state": "active",
   "schema_version": "3.2"
  },
  "included": [
   {
    "id": "edb175f8-51be-53ef-8af5-bec04dc3a402",
    "type": "company",
    "attributes": {
     "domain": "y.uno",
     "ticker": null,
     "company_name": "Yuno, Inc."
    }
   },
   {
    "id": "94d705f4-6650-5055-b643-62d0740cdfa3",
    "type": "company",
    "attributes": {
     "domain": "adyen.com",
     "ticker": "OTC:ADYYF",
     "company_name": "Adyen"
    }
   }
  ]
 },
 "summary": "Categorized Connections between companies and where available also summarized context of how two\ncompanies work together.\n",
 "required": [
  "data",
  "included"
 ],
 "properties": {
  "data": {
   "type": "array",
   "items": {
    "type": "object",
    "title": "Connection",
    "required": [
     "id",
     "type",
     "attributes",
     "relationships"
    ],
    "properties": {
     "id": {
      "type": "string",
      "format": "uuid",
      "description": "ID of the `Connection` object."
     },
     "type": {
      "const": "connection",
      "description": "Type of the `Connection` object."
     },
     "attributes": {
      "type": "object",
      "required": [
       "category",
       "source_category",
       "source_url",
       "individual_source_url",
       "context"
… (truncated)
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/agents-predictleads-com-predictleads-get-company-connections-e77b9304/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from agents.predictleads.com](https://www.zero.xyz/host/agents.predictleads.com/llms.txt)
