# PredictLeads

```json
{
  "name": "PredictLeads",
  "slug": "predict_leads",
  "url": "https://composio.dev/toolkits/predict_leads",
  "markdown_url": "https://composio.dev/toolkits/predict_leads.md",
  "logo_url": "https://logos.composio.dev/api/predictleads",
  "categories": [
    "sales & customer support"
  ],
  "is_composio_managed": false,
  "updated_at": "2026-10-12T13:35:44.804Z"
}
```

![PredictLeads logo](https://logos.composio.dev/api/predictleads)

## Description

Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with PredictLeads MCP or direct API to research company profiles, track hiring signals, monitor financing events, and surface technology insights through natural language.

## Summary

PredictLeads is a company intelligence API for hiring, technology, funding, news, product, and connection data.
Use it to spot growth signals and enrich sales, research, and market workflows with fresh company context.

## Categories

- sales & customer support

## Toolkit Details

- Tools: 11

## Images

- Logo: https://logos.composio.dev/api/predictleads

## Authentication

- **Api Key**
  - Type: `api_key`
  - Description: Api Key authentication for PredictLeads.
  - Setup:
    - Configure Api Key credentials for PredictLeads.
    - Use the credentials when creating an auth config in Composio.

## Suggested Prompts

- Find hiring signals for stripe.com
- List recent financing events for Datadog
- Identify technologies used by Shopify

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `PREDICT_LEADS_DISCOVER_COMPANIES` | Discover Companies | Find companies using firmographic filters. Discovery costs one credit per returned record, so the default limit is 5. Deterministic upstream 4xx responses also consume credits and are not retried. |
| `PREDICT_LEADS_DISCOVER_EXTENDED_COMPANIES` | Discover Extended Companies | Discover exactly one page of PredictLeads extended company profiles. Each returned record costs 1 API credit (1x). Before discovery, call the free Get API Subscription action to check remaining credits. PredictLeads shares a 60 requests/second limit across API calls; after a rate-limit response, honor the provider's Retry-After header before retrying. |
| `PREDICT_LEADS_DISCOVER_INTELLIGENCE` | Discover Intelligence | Discover one page of jobs, technology adoption, news, financing, investor portfolio connections, products, or startup-platform posts across companies. Select exactly one dataset. Each returned record costs one credit, so the default limit is 5; deterministic upstream 4xx failures also consume credits. |
| `PREDICT_LEADS_GET_API_SUBSCRIPTION` | Get API Subscription | Check PredictLeads subscription status, monthly credit quota, and credits used. This endpoint is free and should be called before or during credit-sensitive workflows. |
| `PREDICT_LEADS_GET_COMPANY` | Get Company | Retrieve one company by PredictLeads UUID or bare domain. Each upstream response costs 1 credit, including deterministic 4xx failures, so malformed identifiers are rejected locally and 4xx errors should not be retried. |
| `PREDICT_LEADS_GET_COMPANY_INTELLIGENCE` | Get Company Intelligence | Retrieve one page of a company's jobs, technology detections, news, financing, SEC filings, connections, website changes, GitHub repositories, or products. Select exactly one dataset. Each call costs one credit, including deterministic upstream 4xx failures. |
| `PREDICT_LEADS_GET_EXTENDED_COMPANY` | Get Extended Company | Retrieve one extended company profile by PredictLeads UUID or bare domain. If the extended profile is not ready, PredictLeads can return empty data with an accepted message asking the caller to try again in 24 hours. Each upstream response costs 1 API credit (1x), so first run the free Get API Subscription action to confirm available credits. PredictLeads shares a 60-requests-per-second limit across API calls; after a 429, wait for the Retry-After interval before retrying. |
| `PREDICT_LEADS_GET_INTELLIGENCE_RECORD` | Get Intelligence Record | Retrieve one job opening, extended technology detection, technology, news event, SEC filing, or product by identifier. Select exactly one record type. Each call costs 1 credit; malformed identifiers are rejected locally because upstream 4xx responses also consume credits. |
| `PREDICT_LEADS_GET_SIMILAR_COMPANIES` | Get Similar Companies | Find one page of companies similar to a specified PredictLeads company UUID or domain. Each returned record costs 1 credit, so the default limit is 5; deterministic 4xx responses are not retried. |
| `PREDICT_LEADS_LIST_FOLLOWED_COMPANIES` | List Followed Companies | List one page of companies already followed for PredictLeads webhook updates. This is read-only and does not change follow state. The operation costs 1 credit per response; deterministic 4xx failures are not retried. |
| `PREDICT_LEADS_SEARCH_TECHNOLOGIES` | Search Technologies | Search PredictLeads' tracked technology catalog by fuzzy name. This unusually expensive endpoint costs 3 API credits per returned record, so the default limit of 3 can cost up to 9 credits. Check API subscription usage first and do not retry deterministic 4xx failures. Exactly one provider page is fetched. |

## Supported Triggers

None listed.

## Installation and MCP Setup

### Path 1: SDK Installation

#### Path 1, Step 1: Install Composio

Install the Composio SDK, the OpenAI provider, and the OpenAI SDK
```python
pip install composio composio_openai openai
```

```typescript
npm install @composio/core @composio/openai openai
```

#### Path 1, Step 2: Create a Composio session

Initialize Composio with the OpenAI Responses provider and create a session scoped to PredictLeads
```python
import json
from openai import OpenAI
from composio import Composio
from composio_openai import OpenAIResponsesProvider

composio = Composio(provider=OpenAIResponsesProvider())
client = OpenAI()

session = composio.create(user_id="your-user-id", toolkits=["predict_leads"])
tools = session.tools()
```

```typescript
import OpenAI from "openai";
import { Composio } from "@composio/core";
import { OpenAIResponsesProvider } from "@composio/openai";

const composio = new Composio({ provider: new OpenAIResponsesProvider() });
const client = new OpenAI();

const session = await composio.create("your-user-id", { toolkits: ["predict_leads"] });
const tools = await session.tools();
```

#### Path 1, Step 3: Run PredictLeads tools with your agent

Send a request, execute the PredictLeads tool calls through the session, and print the final answer
```python
response = client.responses.create(
    model="gpt-5.6-sol",
    tools=tools,
    input=[{"role": "user", "content": "Get company intelligence for stripe.com including hiring, technologies, financing, and recent news."}],
)

while True:
    tool_calls = [o for o in response.output if o.type == "function_call"]
    if not tool_calls:
        break
    results = composio.provider.handle_tool_calls(response=response, session=session)
    response = client.responses.create(
        model="gpt-5.6-sol",
        tools=tools,
        previous_response_id=response.id,
        input=[
            {"type": "function_call_output", "call_id": call.call_id, "output": json.dumps(results[i])}
            for i, call in enumerate(tool_calls)
        ],
    )

print(response.output_text)
```

```typescript
let response = await client.responses.create({
  model: "gpt-5.6-sol",
  tools,
  input: [{ role: "user", content: "Get company intelligence for stripe.com including hiring, technologies, financing, and recent news." }],
});

while (response.output.some((o) => o.type === "function_call")) {
  const outputs = await composio.provider.handleToolCalls(session, response.output);
  response = await client.responses.create({
    model: "gpt-5.6-sol",
    tools,
    previous_response_id: response.id,
    input: outputs,
  });
}

console.log(response.output_text);
```

### Path 2: MCP Server Setup

#### Path 2, Step 1: Install Composio

Install the Composio SDK and your agent framework
```python
pip install composio claude-agent-sdk
```

```typescript
npm install @composio/core ai @ai-sdk/mcp @ai-sdk/openai
```

#### Path 2, Step 2: Create a session with MCP enabled

Create a session scoped to PredictLeads and read its MCP URL and headers
```python
from composio import Composio

composio = Composio()
session = composio.create(user_id="your-user-id", toolkits=["predict_leads"], mcp=True)
```

```typescript
import { Composio } from "@composio/core";

const composio = new Composio();
const { mcp } = await composio.create("your-user-id", {
  toolkits: ["predict_leads"],
  mcp: true,
});
```

#### Path 2, Step 3: Connect your agent to the MCP server

Pass the session's MCP URL and headers to your agent and run a PredictLeads request
```python
import asyncio
from claude_agent_sdk import ClaudeSDKClient, ClaudeAgentOptions, AssistantMessage, TextBlock

options = ClaudeAgentOptions(
    mcp_servers={
        "composio": {
            "type": "http",
            "url": session.mcp.url,
            "headers": session.mcp.headers,
        }
    },
    system_prompt="You are a helpful assistant with access to PredictLeads tools.",
    tools=[],
    allowed_tools=["mcp__composio__*"],
)

async def main():
    async with ClaudeSDKClient(options=options) as client:
        await client.query("Get company intelligence for stripe.com including hiring, technologies, financing, and recent news.")
        async for message in client.receive_response():
            if isinstance(message, AssistantMessage):
                for block in message.content:
                    if isinstance(block, TextBlock):
                        print(block.text)

asyncio.run(main())
```

```typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { openai } from "@ai-sdk/openai";
import { generateText, stepCountIs } from "ai";

const client = await createMCPClient({
  transport: { type: "http", url: mcp.url, headers: mcp.headers },
});

const { text } = await generateText({
  model: openai("gpt-5.6-sol"),
  tools: await client.tools(),
  prompt: "Get company intelligence for stripe.com including hiring, technologies, financing, and recent news.",
  stopWhen: stepCountIs(10),
});

console.log(text);
await client.close();
```

## Why Use Composio?

### 1. AI Native PredictLeads Integration

- Supports both PredictLeads MCP and direct API based integrations
- Structured, LLM-friendly schemas for reliable company intelligence lookups
- Rich coverage for hiring, technologies, financing, news, products, and business connection signals

### 2. Managed Auth

- Store PredictLeads API keys securely instead of hard-coding them in agent code
- Central place to manage, scope, and revoke PredictLeads access
- Per user and per environment credentials for safer sales, research, and enrichment workflows

### 3. Agent Optimized Design

- Tools are tuned for natural language requests like finding hiring spikes, funding news, or tech stack changes
- Comprehensive execution logs so you always know what company data was queried, when, and on whose behalf

### 4. Enterprise Grade Security

- Fine-grained RBAC so you control which agents and users can access PredictLeads
- Scoped, least privilege access to PredictLeads company intelligence resources
- Full audit trail of agent actions to support review and compliance

## Use PredictLeads with any AI Agent Framework

Choose a framework you want to connect PredictLeads with:

None listed.

## Related Toolkits

- [Aeroleads](https://composio.dev/toolkits/aeroleads) - Aeroleads is a B2B lead generation platform for finding business emails and phone numbers. Grow your sales pipeline faster with powerful prospecting tools.
- [Autobound](https://composio.dev/toolkits/autobound) - Autobound is an AI-powered sales engagement platform that crafts hyper-personalized outreach and insights. It helps sales teams boost response rates and close more deals through tailored content and recommendations.
- [Better proposals](https://composio.dev/toolkits/better_proposals) - Better Proposals is a web-based tool for crafting and sending professional proposals. It helps teams impress clients and close deals faster with slick, easy-to-use templates.
- [Bidsketch](https://composio.dev/toolkits/bidsketch) - Bidsketch is a proposal software that helps businesses create professional proposals quickly and efficiently. It streamlines the proposal process, saving time while boosting client win rates.
- [Bolna](https://composio.dev/toolkits/bolna) - Bolna is an AI platform for building conversational voice agents. It helps businesses automate support and streamline interactions through natural, voice-powered conversations.
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- [Clearout](https://composio.dev/toolkits/clearout) - Clearout is an AI-powered service for verifying, finding, and enriching email addresses. It boosts deliverability and helps you discover high-quality leads effortlessly.
- [Clientary](https://composio.dev/toolkits/clientary) - Clientary is a platform for managing clients, invoices, projects, proposals, and more. It streamlines client work and saves you serious admin time.
- [Convolo ai](https://composio.dev/toolkits/convolo_ai) - Convolo ai is an AI-powered communications platform for sales teams. It accelerates lead response and improves conversion rates by automating calls and integrating workflows.
- [Crisp](https://composio.dev/toolkits/crisp) - Crisp is a customer messaging platform for live chat, contacts, helpdesk, and campaigns. It helps support teams manage customer conversations from one shared workspace.
- [Delighted](https://composio.dev/toolkits/delighted) - Delighted is a customer feedback platform based on the Net Promoter System®. It helps you quickly gather, track, and act on customer sentiment.
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## Frequently Asked Questions

### Do I need my own developer credentials to use PredictLeads with Composio?

Yes, PredictLeads requires you to configure your own API key credentials. Once set up, Composio handles secure credential storage and API request handling for you.

### Can I use multiple toolkits together?

Yes! Composio's Tool Router enables agents to use multiple toolkits. [Learn more](https://docs.composio.dev/tool-router/overview).

### Is Composio secure?

Composio is SOC 2 and ISO 27001 compliant with all data encrypted in transit and at rest. [Learn more](https://trust.composio.dev).

### What if the API changes?

Composio maintains and updates all toolkit integrations automatically, so your agents always work with the latest API versions.

---
[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)