> ## Documentation Index
> Fetch the complete documentation index at: https://docs.focusalpha.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Screen Companies by Products and Peers

> Find who makes a product, who sits in its value chain, and who names whom as a peer or competitor — from FocusAlpha's filings-built entity-relations graph, with evidence on every match.

Screening companies by products and peers answers "who makes memory", "who is in the lithography value chain" and "who names Micron as a competitor" — from a relations graph built out of filings (10-K competitor naming, proxy-statement peer groups, business-section product extraction), not from an industry code. Every match returns its evidence.

<Info>
  **Plan:** Fund · **Credits:** 1 per call; screen facets and the term search are free
</Info>

## The Product and Relationship Filters

<ParamField query="find_terms" type="string">
  **Vocabulary search, not a screen** — free. Returns product terms matching a spelling with how many companies make each. Call it before `makes_term`: the vocabulary expands **spellings, not concepts** — `memory`, `dram`, `nand` and `memory chips` are four separate terms with four separate company lists, so `makes_term=memory` alone misses Kioxia, Winbond and Nanya. Pass every spelling it shows you.
</ParamField>

<ParamField query="makes_term" type="string">
  Comma-separated product terms; companies that **make** any of them. Exact terms from `find_terms`.
</ParamField>

<ParamField query="related_to_term" type="string">
  Companies **related** to any of the terms — in that product's value chain without making it. Direction is usually unknown, so read it as "connected to", not "supplies".
</ParamField>

<ParamField query="peer_of" type="string">
  Companies in this company's disclosed **compensation peer group**, either direction. Takes a `company_id` or ticker; an identifier matching nothing is an error, not an empty page.
</ParamField>

<ParamField query="competitor_of" type="string">
  Companies named as a competitor by (or naming) this company in a 10-K Item 1. Same identifier rules as `peer_of`.
</ParamField>

## Every Match Carries Its Evidence

Matches come back with `matched_terms` or `matched_relation`: the term, its sources, its grade, and whether a peer selection was mutual. The evidence travels with the row because extraction has failure modes — a business-section extraction can put "memory" on a PCB maker that merely wrote the word — and a product list nobody can check is a product list nobody should trust.

## Never Substitute Sector for These

"Peers" from an industry filter is a different claim wearing the same word. If the graph holds nothing for a company, the honest answer is that FocusAlpha holds nothing — never that the company makes nothing or has no peers. The free facets endpoint reports how many companies each relationship axis reaches. One caution inherited from the source material: a proxy **compensation** peer group is who the board benchmarks pay against, and must never be read as a causal or supply-chain link.

## Related Screens

[By events](/screening/companies/by-events) · [By fundamentals](/screening/companies/by-fundamentals) · [Company registry](/companies/registry) · [Company screening overview](/companies/screening)

<RequestExample>
  ```bash Term search first (free) theme={null}
  curl "https://api.focusalpha.ai/v1/screen/terms?q=memory" \
    -H "Authorization: Bearer $FOCUSALPHA_API_KEY"
  ```

  ```bash Then screen on every spelling theme={null}
  curl "https://api.focusalpha.ai/v1/screen?makes_term=memory,dram,nand,memory%20chips&sort=market_cap_usd" \
    -H "Authorization: Bearer $FOCUSALPHA_API_KEY"
  ```
</RequestExample>

<ResponseExample>
  ```json Term search: /v1/screen/terms?q=memory theme={null}
  {
    "data": {
      "query": "memory",
      "terms": [
        {
          "term": "memory",
          "companies_makes": 20,
          "companies_rel": 7,
          "companies": 27,
          "kinds": [
            "product"
          ],
          "sources": [
            "10k_item1",
            "20f_item4",
            "curated_semi",
            "dart_business",
            "website"
          ]
        },
        {
          "term": "memory chips",
          "companies_makes": 4,
          "companies_rel": 3,
          "companies": 7,
          "kinds": [
            "category"
          ],
          "sources": [
            "curated_semi"
          ]
        }
      ]
    }
  }
  ```

  ```json Screen: makes_term=dram (fields trimmed) theme={null}
  {
    "data": [
      {
        "company_id": "cmp_007386",
        "company_name": "Samsung Electronics Co., Ltd.",
        "primary_ticker": "005930.KS",
        "product_terms": 100,
        "related_terms": 68,
        "peer_companies": 0,
        "competitor_companies": 15,
        "matched_terms": [
          {
            "role": "makes",
            "term": "dram",
            "grade": null,
            "sources": [
              "curated_semi",
              "dart_business",
              "graph"
            ]
          }
        ]
      }
    ]
  }
  ```
</ResponseExample>