# Tender Revenue Intelligence Bundle (`zentrafoundry/tender-revenue-intelligence-bundle`) Actor

Monitor official tender portals, procurement notices, buyer pages, public documents, and configured source URLs and return tender notice records with buyer, deadline, category, source URL, and action-ready context.

- **URL**: https://apify.com/zentrafoundry/tender-revenue-intelligence-bundle.md
- **Developed by:** [Zentra](https://apify.com/zentrafoundry) (community)
- **Categories:** Lead generation, Automation, News
- **Stats:** 2 total users, 1 monthly users, 91.3% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$29.00 / 1,000 result delivereds

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Tender Revenue Intelligence Bundle

Find, qualify, classify, explain, and alert on tenders/grants/contracts using Zentra tender discovery, PDF requirement extraction, CPV classification, fit scoring, no-bid reasons,

Version: 1.0.0

Pricing model: `PAY_PER_EVENT`.

Default event: `qualified-opportunity`.

The generated actor runs in sample mode by default and only uses live source URLs when the owner has approved source-policy coverage.

Outputs are written to the default Apify dataset using the product schema and public-safe sample evidence generated by Zentra.

This listing is generated from Zentra ProductStudio and excludes secrets, private run IDs, and raw internal validation data.

# Actor input Schema

## `buyerQuery` (type: `string`):

Buyer-safe query or scope for the records returned by this product.

## `taskIntent` (type: `string`):

Stable product-specific purpose for this saved Apify task.

## `sourceMode` (type: `string`):

Sample emits public-safe Tender Revenue Intelligence Bundle Record rows. Approved live source mode keeps the same output fields and only uses owner-approved public URLs.

## `outputMode` (type: `string`):

Use sample records for Apify Store QA or buyer-ready records for approved Tender Revenue Intelligence Bundle Record delivery.

## `startUrls` (type: `array`):

Public URLs to use for live Tender Revenue Intelligence Bundle Record extraction after source-policy approval. Leave empty for sample mode.

## `maxItems` (type: `integer`):

Caps the number of Tender Revenue Intelligence Bundle Record rows written to the dataset.

## `perSourceLimit` (type: `integer`):

Bounds each member Actor independently before suite-level deduplication.

## `maxTotalChargeUsd` (type: `number`):

Distributes this ceiling across child Actor calls. The buyer-selected parent run-level maximum separately caps suite delivery charges.

## `overallTimeoutSecs` (type: `integer`):

Stops additional source work once the bounded run deadline is reached.

## `requestTimeoutSecs` (type: `integer`):

Timeout applied independently to each approved source request.

## `maxRequestRetries` (type: `integer`):

Bounded retry count for transient source failures.

## `sinceLastRun` (type: `boolean`):

Uses stable Actor state to skip logical records delivered by earlier runs.

## `deltaMode` (type: `boolean`):

Preserves stable deduplication keys for recurring tasks and schedules.

## `memberTimeoutSecs` (type: `integer`):

Maximum time allowed for each member Actor before the suite records a source warning and continues.

## `zentraOwnerQa` (type: `boolean`):

Internal live-member validation. The Actor rejects this mode unless Apify confirms that the invoking account owns the Actor.

## Actor input object example

```json
{
  "buyerQuery": "Deterministic fixture Title for Tender Revenue Intelligence Bundle",
  "taskIntent": "buyer-ready-product-run",
  "sourceMode": "sample",
  "outputMode": "sample-records",
  "startUrls": [],
  "maxItems": 1,
  "perSourceLimit": 5,
  "maxTotalChargeUsd": 5,
  "overallTimeoutSecs": 900,
  "requestTimeoutSecs": 30,
  "maxRequestRetries": 2,
  "sinceLastRun": false,
  "deltaMode": true,
  "memberTimeoutSecs": 300,
  "zentraOwnerQa": false
}
```

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "buyerQuery": "Deterministic fixture Title for Tender Revenue Intelligence Bundle",
    "taskIntent": "buyer-ready-product-run",
    "sourceMode": "sample",
    "outputMode": "sample-records",
    "startUrls": [],
    "maxItems": 1,
    "perSourceLimit": 5,
    "maxTotalChargeUsd": 5,
    "overallTimeoutSecs": 900,
    "requestTimeoutSecs": 30,
    "maxRequestRetries": 2,
    "sinceLastRun": false,
    "deltaMode": true,
    "memberTimeoutSecs": 300,
    "zentraOwnerQa": false
};

// Run the Actor and wait for it to finish
const run = await client.actor("zentrafoundry/tender-revenue-intelligence-bundle").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "buyerQuery": "Deterministic fixture Title for Tender Revenue Intelligence Bundle",
    "taskIntent": "buyer-ready-product-run",
    "sourceMode": "sample",
    "outputMode": "sample-records",
    "startUrls": [],
    "maxItems": 1,
    "perSourceLimit": 5,
    "maxTotalChargeUsd": 5,
    "overallTimeoutSecs": 900,
    "requestTimeoutSecs": 30,
    "maxRequestRetries": 2,
    "sinceLastRun": False,
    "deltaMode": True,
    "memberTimeoutSecs": 300,
    "zentraOwnerQa": False,
}

# Run the Actor and wait for it to finish
run = client.actor("zentrafoundry/tender-revenue-intelligence-bundle").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "buyerQuery": "Deterministic fixture Title for Tender Revenue Intelligence Bundle",
  "taskIntent": "buyer-ready-product-run",
  "sourceMode": "sample",
  "outputMode": "sample-records",
  "startUrls": [],
  "maxItems": 1,
  "perSourceLimit": 5,
  "maxTotalChargeUsd": 5,
  "overallTimeoutSecs": 900,
  "requestTimeoutSecs": 30,
  "maxRequestRetries": 2,
  "sinceLastRun": false,
  "deltaMode": true,
  "memberTimeoutSecs": 300,
  "zentraOwnerQa": false
}' |
apify call zentrafoundry/tender-revenue-intelligence-bundle --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=zentrafoundry/tender-revenue-intelligence-bundle",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/LpeP9TNHdfHKM1sN2/builds/i1BxJE4TOhv7mb441/openapi.json