# Grant, Tender & RFP Eligibility Decision (`suezcanal.xyz/opportunity-fit`) Actor

Qualify structured grants, tenders, RFPs, procurement opportunities and research calls with a deterministic GO, REVIEW or NO\_GO decision, including blockers, missing evidence and provenance.

- **URL**: https://apify.com/suezcanal.xyz/opportunity-fit.md
- **Developed by:** [Matteo Messina](https://apify.com/suezcanal.xyz) (community)
- **Categories:** AI, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.02 / opportunity decision report

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/actors/running/actors-in-store.md#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

### Grant, tender and RFP eligibility before you invest time

Opportunity Decision is a deterministic grant, tender, RFP, procurement, and research-call eligibility gate. It turns a caller-supplied structured opportunity record into an explicit `GO`, `REVIEW`, or `NO_GO` decision before a team or agent spends time drafting an application or proposal.

The Actor keeps the stable Apify slug `opportunity-fit` and remains backward compatible with Opportunity Fit v0.1. Inputs without `mode` continue to use the legacy contract; inputs with `mode` use the Opportunity Decision v0.2 contract.

### What it does

Opportunity Decision evaluates explicit structured eligibility criteria. Passed deadlines, geography mismatches, entity-type mismatches, and missing explicitly required capabilities are hard blockers. A hard blocker produces `NO_GO` even when softer preferences look attractive.

Supported v0.2 modes are `grant`, `tender`, `rfp`, and `research_call`. Mode-specific required attributes that are unknown remain named as missing evidence and force `REVIEW` rather than being guessed.

A v0.2 report can include:

- `decision`: `GO`, `REVIEW`, or `NO_GO`;
- legacy fit decision and score;
- hard blockers;
- unknown requirements and named missing evidence;
- assumptions;
- evaluated requirement keys;
- deterministic reasons;
- source provenance supplied by the caller;
- confidence ceiling.

### What it does not do

Opportunity Decision is **not an opportunity discovery Actor**. It does not search grant databases, procurement portals, tender websites, or RFP feeds. It does not scrape attachments, infer missing legal criteria, submit an application, contact a buyer, or guarantee eligibility.

Use a discovery/retrieval step upstream, normalize the official criteria into the structured input contract, then call Opportunity Decision as the qualification gate.

### Typical uses

Use it for grant eligibility screening, tender qualification, RFP go/no-go gates, procurement pipelines, research-call qualification, funding research, business development, and agentic workflows that need an explicit stop/review decision before drafting begins.

### Input

The legacy fields `organization`, `opportunity`, and `as_of` remain required. Add `mode` to use v0.2. Optional `supplemental_requirements`, `supplemental_attributes`, and `assumptions` provide bounded mode-specific checks.

```json
{
  "mode": "tender",
  "organization": {
    "name": "Example Studio",
    "entity_type": "company",
    "geographies": ["EU"],
    "capabilities": ["osint", "geospatial"]
  },
  "opportunity": {
    "title": "EU geospatial intelligence tender",
    "deadline": "2026-10-01",
    "eligible_geographies": ["EU"],
    "eligible_entity_types": ["company"],
    "required_capabilities": ["osint"],
    "source_url": "https://example.org/tender/123",
    "source_reliability": "official",
    "verified": true
  },
  "as_of": "2026-09-07"
}
```

### Output

A completed v0.2 report writes the bounded eligibility decision and supporting machine-readable evidence limits to the default dataset. Unknown mandatory evidence yields `REVIEW`; a missed mandatory requirement yields `NO_GO`.

### Pricing

Opportunity Decision uses Apify pay-per-event pricing. A v0.2 run charges one `opportunity-decision-report` event only when a complete mode-specific report is written to the default dataset. The beta price is USD 0.02.

For backward compatibility, inputs without `mode` emit the legacy `opportunity-fit-report` event at USD 0.02. A single run emits one contract's paid event, not both.

### Limitations

The Actor cannot distinguish a correctly normalized eligibility criterion from an incorrect one supplied by the caller. Official grant, tender, procurement, and RFP documents remain authoritative. The output is not legal advice, procurement certification, award prediction, or a guarantee of eligibility.

Do not submit passwords, API keys, private keys, unnecessary personal data, or confidential bid material.

### Suez Evidence & Decision Infrastructure for AI Agents

Opportunity Decision is part of the Suez evidence-and-decision tool family. **Research Verification** can validate the structure of upstream evidence; **Task Feasibility** can preflight execution; **Opportunity Decision** remains authoritative for eligibility; and **Decision Monitor** can compare a later decision state when evidence or assumptions change. Each Actor remains independently callable.

# Actor input Schema

## `mode` (type: `string`):

Optional v0.2 mode. If omitted, the Actor preserves the legacy Opportunity Fit v0.1 report shape and PPE event.

## `organization` (type: `object`):

Structured organization profile used for deterministic eligibility and fit checks.

## `opportunity` (type: `object`):

Structured tender, grant, RFP, research call, procurement notice, or funding opportunity. Include only criteria supported by the source.

## `as_of` (type: `string`):

ISO 8601 date used to evaluate deadlines, for example 2026-09-06.

## `supplemental_requirements` (type: `array`):

Optional v0.2 deterministic requirements allowed for the selected mode.

## `supplemental_attributes` (type: `object`):

Optional v0.2 candidate attributes keyed by requirement key.

## `assumptions` (type: `array`):

Optional v0.2 assumptions preserved in the report rather than treated as verified facts.

## Actor input object example

```json
{
  "organization": {
    "name": "Example Studio",
    "entity_type": "company",
    "geographies": [
      "IT",
      "EU"
    ],
    "capabilities": [
      "osint",
      "geospatial",
      "software"
    ],
    "min_funding_usd": 10000
  },
  "opportunity": {
    "title": "EU geospatial intelligence tender",
    "url": "https://example.org/tender/123",
    "deadline": "2026-10-01",
    "eligible_geographies": [
      "EU"
    ],
    "eligible_entity_types": [
      "company"
    ],
    "required_capabilities": [
      "osint",
      "geospatial"
    ],
    "disciplines": [
      "osint",
      "geospatial"
    ],
    "funding_amount_usd": 50000,
    "source_url": "https://example.org/tender/123",
    "source_reliability": "official",
    "verified": true
  },
  "as_of": "2026-09-06",
  "supplemental_requirements": [],
  "supplemental_attributes": {},
  "assumptions": []
}
```

# Actor output Schema

## `results` (type: `string`):

Default dataset items containing deterministic decisions, blockers, gaps, reasons, provenance, and for v0.2 mode inputs explicit uncertainty fields.

# 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 = {
    "organization": {
        "name": "Example Studio",
        "entity_type": "company",
        "geographies": [
            "IT",
            "EU"
        ],
        "capabilities": [
            "osint",
            "geospatial",
            "software"
        ],
        "min_funding_usd": 10000
    },
    "opportunity": {
        "title": "EU geospatial intelligence tender",
        "url": "https://example.org/tender/123",
        "deadline": "2026-10-01",
        "eligible_geographies": [
            "EU"
        ],
        "eligible_entity_types": [
            "company"
        ],
        "required_capabilities": [
            "osint",
            "geospatial"
        ],
        "disciplines": [
            "osint",
            "geospatial"
        ],
        "funding_amount_usd": 50000,
        "source_url": "https://example.org/tender/123",
        "source_reliability": "official",
        "verified": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("suezcanal.xyz/opportunity-fit").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 = {
    "organization": {
        "name": "Example Studio",
        "entity_type": "company",
        "geographies": [
            "IT",
            "EU",
        ],
        "capabilities": [
            "osint",
            "geospatial",
            "software",
        ],
        "min_funding_usd": 10000,
    },
    "opportunity": {
        "title": "EU geospatial intelligence tender",
        "url": "https://example.org/tender/123",
        "deadline": "2026-10-01",
        "eligible_geographies": ["EU"],
        "eligible_entity_types": ["company"],
        "required_capabilities": [
            "osint",
            "geospatial",
        ],
        "disciplines": [
            "osint",
            "geospatial",
        ],
        "funding_amount_usd": 50000,
        "source_url": "https://example.org/tender/123",
        "source_reliability": "official",
        "verified": True,
    },
}

# Run the Actor and wait for it to finish
run = client.actor("suezcanal.xyz/opportunity-fit").call(run_input=run_input)

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

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

```

## CLI example

```bash
echo '{
  "organization": {
    "name": "Example Studio",
    "entity_type": "company",
    "geographies": [
      "IT",
      "EU"
    ],
    "capabilities": [
      "osint",
      "geospatial",
      "software"
    ],
    "min_funding_usd": 10000
  },
  "opportunity": {
    "title": "EU geospatial intelligence tender",
    "url": "https://example.org/tender/123",
    "deadline": "2026-10-01",
    "eligible_geographies": [
      "EU"
    ],
    "eligible_entity_types": [
      "company"
    ],
    "required_capabilities": [
      "osint",
      "geospatial"
    ],
    "disciplines": [
      "osint",
      "geospatial"
    ],
    "funding_amount_usd": 50000,
    "source_url": "https://example.org/tender/123",
    "source_reliability": "official",
    "verified": true
  }
}' |
apify call suezcanal.xyz/opportunity-fit --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,suezcanal.xyz/opportunity-fit"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/Bzadd1jWjR4AuqUzL/builds/JWgo3wbO05iWjcXOx/openapi.json