# Incumbent History: contractor awards lineage by agency, NAICS (`citature/incumbent-history`) Actor

A federal contractor's contract history, by UEI or recipient name, rolled up per awarding agency and NAICS: contract counts, total obligated, fiscal-year span, and latest period-of-performance end. A receipt ships with each answer: source URL, retrieval time, caveats, guardrails.

- **URL**: https://apify.com/citature/incumbent-history.md
- **Developed by:** [citature](https://apify.com/citature) (community)
- **Categories:** AI, Lead generation
- **Stats:** 2 total users, 0 monthly users, 92.3% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$100.00 / 1,000 answer serveds

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

## Incumbent History — a federal contractor's contract lineage

**Who holds the work, and how much of it?** Look up a federal contractor — by its
**UEI** or by **name** — and get its contract history rolled up per **awarding
agency and NAICS**: how many contracts, total obligated dollars, the fiscal-year
span, and the latest period-of-performance end date. With a full citation receipt.

Built for capture teams sizing up an incumbent before a recompete, and for AI
agents doing competitive research on federal contractors, with the exact public
source attached to every number.

Data comes straight from **USASpending.gov** — the primary, public-domain federal
record of contract awards. No aggregator, no scoring, no editorializing.

### What you can ask

- What is **Lockheed Martin's** contract history — by agency and NAICS — and how
  much has it been obligated?
- For UEI **ABC123DEF456**, which agencies buy from it, in which NAICS, and how
  many contracts?
- Narrow an incumbent's lineage to a single agency or NAICS.

Keywords: incumbent, federal contractor, contract history, competitor research,
capture management, UEI, NAICS, awarding agency, obligated dollars, GovCon,
business development, government contracts, contractor profile, USAspending,
market share, past performance footprint.

### Input

Provide **either** a `uei` **or** a `recipient` name prefix (at least one is
required).

| Field | Type | Required | Notes |
|---|---|---|---|
| `uei` | string | one of these | Exact federal awardee UEI. |
| `recipient` | string | one of these | Recipient name prefix. |
| `agency` | string | no | Awarding-agency name prefix. |
| `naics` | string | no | NAICS code or 2–6 digit prefix. |
| `limit` | integer 1–500 | no (default 50) | Max rows. |

```json
{ "recipient": "Lockheed", "limit": 25 }
```

### Output — an answer with a receipt

The actor returns one receipt object (also stored as the run's `OUTPUT`). The
`answer` is the lineage rows; `matches` declares the exact cross-source joins, and
`citations` is the exact source you can re-run yourself.

```json
{
  "answer": [
    {
      "recipient_uei": "G4KDGE4JFFK7",
      "recipient_name": "LOCKHEED MARTIN CORPORATION",
      "awarding_agency": "Department of Defense",
      "awarding_agency_code": "097",
      "naics_code": "336411",
      "naics_description": "AIRCRAFT MANUFACTURING",
      "contract_count": 59,
      "total_cents": 1804299333899300,
      "first_fiscal_year": 2007,
      "last_fiscal_year": 2027,
      "latest_pop_end_date": "2027-04-30"
    }
  ],
  "matches": [
    {
      "match_method": "exact",
      "left_key": "usaspending.recipient_uei",
      "right_key": "citature.entity_recipient.uei"
    },
    {
      "match_method": "exact",
      "left_key": "usaspending.awarding_agency_code",
      "right_key": "citature.entity_agency_code.agency_code"
    }
  ],
  "coverage": [
    "Coverage reflects records currently in citature's dataset, not the full upstream history.",
    "Recompete timing reflects each contract's current period-of-performance end date as reported to the awarding agency; option years and modifications can push the actual recompete later."
  ],
  "guardrails": [
    "Research over public-domain federal records — not legal, financial, or eligibility advice.",
    "citature reports what the record says. It never renders a compliance verdict, a screening pass/fail, or a recommendation.",
    "Entity-level records only (committees, candidates, recipients, agencies, contracts). No individual-person data."
  ],
  "schema_version": "0.1.0"
}
```

Money is always integer **cents** (`total_cents`). The contractor is resolved on
the **UEI** and the agency on its official **toptier code** — both exact joins,
declared in `matches`.

### Guardrails

- Research over public-domain federal records — **not** legal, financial, or
  eligibility advice.
- citature reports what the record says. It never renders a determination, a
  ranking of vendors, or a recommendation.
- Entity-level records only. No individual-person data is ever returned.

### Pricing

Pay per successful answer. You are charged only when an answer is served; a
rejected or failed request is never billed.

# Actor input Schema

## `uei` (type: `string`):

The federal awardee UEI to look up exactly.

## `recipient` (type: `string`):

Look up by the start of the recipient's name (e.g. Lockheed).

## `agency` (type: `string`):

Restrict to one awarding agency by the start of its name.

## `naics` (type: `string`):

Restrict to a NAICS code or a 2 to 6 digit prefix.

## `limit` (type: `integer`):

Maximum number of lineage rows to return (1 to 500).

## Actor input object example

```json
{
  "recipient": "Lockheed",
  "limit": 50
}
```

# Actor output Schema

## `receipts` (type: `string`):

No description

## `receipt` (type: `string`):

No description

# 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 = {
    "recipient": "Lockheed"
};

// Run the Actor and wait for it to finish
const run = await client.actor("citature/incumbent-history").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 = { "recipient": "Lockheed" }

# Run the Actor and wait for it to finish
run = client.actor("citature/incumbent-history").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 '{
  "recipient": "Lockheed"
}' |
apify call citature/incumbent-history --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=citature/incumbent-history",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/3Ov3pQc1sM653OOv3/builds/b24Mw3SrYxcm11q1e/openapi.json