Find candidate SIC codes for a company

Give your Agent a company domain or name to request SIC industry matches. Choose the original 1987 SIC taxonomy or the supplier's SEC-list dataset, then compare candidate codes, industry labels and qualitative confidence.

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Use Toolmu's sic-classification-context-dev. If needed, connect through https://toolmu.com/SKILL.md and reuse my existing authorization and budget. If the user shares a company website link, read the website name from the link and use it to search; do not ask the user to edit the link. Put the company domain or name in queryParams.input, preferring a domain and using at least four characters. Select queryParams.type as original_sic for the 1987 taxonomy or latest_sec for the supplier's SEC-list dataset. Set coherent minResults and maxResults within 1–10; keep any timeoutMS below the Tool request timeout. Show the resolved domain, exact SIC code strings, returned industry labels, qualitative confidence and available major groups, keeping the dataset identifier with every result. Flag company-name ambiguity and compare the candidates with the described business. Do not present qualitative labels as accuracy percentages, list order as a verified rank, or matches as official filed classifications; keep SIC distinct from NAICS.

Task:
Find the U.S. industry category that best fits [company name, e.g. Stripe] or [company website link, e.g. https://stripe.com] and explain it in plain language.

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Context.dev

Find candidate SIC codes for a company

You receive

Candidate SIC codes for the resolved company domain, with industry labels, qualitative match-confidence labels and the dataset used. The original_sic dataset can also provide two-digit major-group codes and labels to place candidates in the industry hierarchy.

Start with your task

Find the U.S. industry category that best fits [company name, e.g. Stripe] or [company website link, e.g. https://stripe.com] and explain it in plain language.

What to know

Company names can resolve ambiguously, and suggested matches may not cover every business activity. Confidence labels and list order do not establish accuracy or an official assignment. latest_sec does not prove a current EDGAR classification or dataset refresh date. These results do not provide a SIC-to-NAICS conversion.

Inputs & outputs

Inspect the current inputs, availability, and maximum charge before starting.

Input schema

Input schema
Field / Path	Type	Requirement	Meaning
Classification request`queryParams`	`object`	Required	Required settings containing the company domain or name and optional SIC dataset, result bounds and supplier timeout. Required fields `input`
SIC dataset`queryParams.type`	`string`	Optional	original_sic selects the 1987 SIC taxonomy and is the default. latest_sec selects the supplier's SEC-list dataset; the selector does not establish a refresh date or a company's filed code. Options `original_sic, latest_sec`
Company domain or name`queryParams.input`	`string`	Required	Required, at least four characters. Prefer the company domain. A valid domain is used directly; a company name is first resolved by the supplier, so check the returned domain. Minimum length `4`
Supplier timeout`queryParams.timeoutMS`	`integer`	Optional	Optional supplier timeout, 1,000–300,000 milliseconds. Keep it below the Tool request timeout so the supplier can respond before the platform deadline. Minimum `1000` Maximum `300000`
Requested maximum matches`queryParams.maxResults`	`integer`	Optional	Requested upper bound of 1–10 candidate codes, default 5. It does not report the company's total activities or all possible classifications. Minimum `1` Maximum `10`
Requested minimum matches`queryParams.minResults`	`integer`	Optional	Requested minimum number of candidate codes, 1–10, default 1. Choose a value no greater than maxResults. This request does not guarantee a particular returned count. Minimum `1` Maximum `10`

View raw JSON

{
  "type": "object",
  "required": [
    "queryParams"
  ],
  "properties": {
    "queryParams": {
      "type": "object",
      "$schema": "https://json-schema.org/draft/2020-12/schema",
      "required": [
        "input"
      ],
      "~standard": {
        "vendor": "zod",
        "version": 1,
        "jsonSchema": {}
      },
      "properties": {
        "type": {
          "enum": [
            "original_sic",
            "latest_sec"
          ],
          "type": "string",
          "description": "Which SIC dataset to classify against: 'original_sic' (the 1987 Standard Industrial Classification, default) or 'latest_sec' (the current list published by the SEC)."
        },
        "input": {
          "type": "string",
          "minLength": 4,
          "description": "Brand domain (preferred, e.g. 'example.com') or company title. A valid domain is classified directly; otherwise Context.dev searches for the brand by title first."
        },
        "timeoutMS": {
          "type": "integer",
          "maximum": 300000,
          "minimum": 1000,
          "description": "Upstream timeout in milliseconds (max 300000). Context.dev aborts the call with a 408 when exceeded. Keep it below the endpoint's requestTimeoutMs so the provider answers before the platform's own budget expires."
        },
        "maxResults": {
          "type": "integer",
          "maximum": 10,
          "minimum": 1,
          "description": "Maximum number of codes to return (1-10). Default 5."
        },
        "minResults": {
          "type": "integer",
          "maximum": 10,
          "minimum": 1,
          "description": "Minimum number of codes to return (1-10). Default 1."
        }
      },
      "additionalProperties": false
    }
  },
  "additionalProperties": false
}

Result schema

No fixed output contract is available. Field types reflect saved result evidence; individual responses can differ.

Result schema
Field / Path	Type	Meaning
SIC classification result`result`	`object`	Candidate SIC matches for a resolved company domain, with the selected dataset and returned grouping information.
Resolved company domain`result.domain`	`string`	Domain used for classification. Check that it corresponds to the intended company, especially after a name lookup.
Classification family`result.type`	`string`	The returned classification family, sic. The dataset choice is reported separately in classification.
Dataset used`result.classification`	`string`	Returned dataset identifier, such as original_sic. Keep it with the codes; it is not a dataset update timestamp or official company assignment.
Candidate SIC codes`result.codes`	`array`	Supplier-suggested industry matches with code, industry name and qualitative confidence. Returned order does not establish a documented ranking.
SIC code`result.codes[].code`	`string`	Returned SIC identifier as a string. Keep the exact value, including any leading zeros.
Industry label`result.codes[].name`	`string`	Supplier-returned industry label, which may contain abbreviations. Retain the label with its code and dataset.
Match confidence label`result.codes[].confidence`	`string`	Qualitative supplier label such as high, medium or low. It is not a numeric accuracy probability or an official classification decision.
Major-group code`result.codes[].majorGroup`	`string`	Two-digit grouping code when supplied for original_sic. Preserve it as a string; it groups the candidate code rather than assigning another company activity.
Major-group label`result.codes[].majorGroupName`	`string`	Returned grouping label when available for original_sic, including any supplier abbreviations.

Questions about this tool.

Inputs, results and details to know before running it.

Get connected

original_sic uses the 1987 Standard Industrial Classification and is the default. latest_sec selects the supplier's SEC-list dataset. Choose the dataset required by your task and retain its identifier with the result; the SEC option alone does not confirm when the dataset was updated or a company's filed code.

Find candidate SIC codes for a company

Find candidate SIC codes for a company

You receive

Start with your task

What to know

Inputs & outputs

Input schema

Result schema

Start with a company name or website

Ask for a short list

Check the suggested industry

Questions about this tool.

You receive

Start with your task

What to know

Inputs & outputs

Input schema

Result schema

Start with a company name or website

Ask for a short list

Check the suggested industry

Questions about this tool.

How do the two SIC datasets differ?

Why might a company receive several candidate codes?

Does high confidence mean a known accuracy percentage?

Can I use the result as proof of a company's SEC filing code?

Can I use these codes in a field that requires NAICS?