Technographics - Crustdata Docs

Technographics is currently in beta. Field names, category values, and coverage may evolve based on feedback. To share input or request access, write to support@crustdata.co.

Technographics maps each company to the technologies it uses. Every tool comes with a name, a category, and the sources it was detected from, so you can both target companies by their stack and read the full stack for a company you already care about.

Where technographics is available

Technographics ships on the existing Company APIs. There is no separate endpoint, and the two endpoints play different roles:

API	Request field	Notes
Company Enrich	`fields: ["technographics"]`	Returns the full detected stack. Never returned by default; request it.
Company Search	`technographics.*` filter columns	Filters and sorts companies by tech stack, but does not return the values.

At a glance

Detail	Value
Read endpoint	`POST https://api.crustdata.com/company/enrich`
Filter endpoint	`POST https://api.crustdata.com/company/search`
Auth	`authorization: Bearer YOUR_API_KEY`
API version	`x-api-version: 2025-11-01` header
Enrich field	`technographics` (request via `fields`); returned under `company_data.technographics`
Filter columns	Each is prefixed with `technographics.`: `technographics.total_technologies`, `technographics.top_technologies`, `technographics.technologies.name`, `technographics.technologies.category`
Access	Gated add-on; requires field-level permission on your account
Pricing	+2 credits per company that returns technographics data, on top of the base 2 credits (beta pricing, subject to change)
Freshness	`updated_at`, per company

The problem: firmographics don’t tell you what a company is built on

Company data tells you a company’s size, funding, and industry, but not the tools it runs. Knowing the stack is what drives the highest-intent motions:

Account scoring: prioritize accounts that already run a complementary or competing product.
Competitive displacement: find every company using a competitor’s technology.
ICP targeting: segment by category, like everyone using a data warehouse or an AI model provider.
Personalization: reference a prospect’s actual stack in outreach.

Detecting this yourself means running your own pipeline over each company’s web presence and job postings, then normalizing thousands of raw tool names into a consistent taxonomy.

The solution: a ready-made stack on the Company API

Request the technographics field group on Company Enrich and Crustdata returns the technologies detected for the company, each with a category and the sources it came from:

{
    "fields": ["technographics"]
}

To build a list instead of reading one company, filter and sort on the technographics.* columns in Company Search, then enrich the companies you want in full. A typical workflow is search to narrow, enrich to read.

Access and pricing

Technographics is a gated add-on. It requires field-level permission on your account. Check your access with the permissions endpoint, or contact Crustdata to enable it. It is billed at +2 credits per company that returns technographics data, on top of the endpoint’s base 2 credits per company. Companies with no technographics data are not charged the add-on. The same pricing applies to Batch Company Enrich.

These credit amounts are beta pricing and may change as technographics moves toward general availability.

Example: read a company’s stack (Enrich)

Request the technographics field group explicitly. It is never returned by default.

curl --request POST \
  --url https://api.crustdata.com/company/enrich \
  --header 'authorization: Bearer YOUR_API_KEY' \
  --header 'Content-Type: application/json' \
  --header 'x-api-version: 2025-11-01' \
  --data '{
    "domains": ["stripe.com"],
    "fields": ["basic_info", "technographics"]
  }'

The technographics section appears on each match under company_data.technographics:

{
  "technographics": {
    "total_technologies": 635,
    "top_technologies": ["SQL", "SaaS", "Python", "API", "Java", "Ruby", "Go", "React", "Salesforce", "Kubernetes"],
    "technologies": [
      {
        "name": "Python",
        "category": "programming_language",
        "sources": ["job posting"]
      },
      {
        "name": "React",
        "category": "framework",
        "sources": ["web signals", "job posting"]
      },
      {
        "name": "Salesforce",
        "category": "product",
        "sources": ["web signals"]
      }
    ],
    "updated_at": "2026-07-21T05:18:56Z"
  }
}

Fields

Field	Type	Description
`total_technologies`	integer	Total count of technologies detected for the company.
`top_technologies`	string[]	The most notable technology names.
`technologies`	object[]	List of detected technologies, capped at 500 entries per company.
`technologies[].name`	string	Technology name.
`technologies[].category`	string	Technology category, a lowercase snake_case value (see Coverage).
`technologies[].sources`	string[]	Where the signal was detected: `"web signals"` (the company’s web presence) or `"job posting"`.
`updated_at`	date-time string	Timestamp of the last technographics refresh for the company.

The technologies list is ordered by notability (top_technologies is the head of the same ranking) and is capped at 500 entries per company. For a large stack, total_technologies (the true count) can exceed the number of entries returned. Use total_technologies for the count and top_technologies for the most notable tools.

Because the list is the top 500 by notability, a company with a very large stack may match a Company Search filter on a niche technology yet not include that technology in its enriched technologies array. Treat Company Search as the authority for whether a company uses a given technology, and use Enrich to read the notable stack.

For the complete schema, see the technographics fields reference.

Example: target companies by tech stack (Search)

Company Search can filter and sort on technographics without returning the values. Use it to build a list, then enrich the companies you want.

curl --request POST \
  --url https://api.crustdata.com/company/search \
  --header 'authorization: Bearer YOUR_API_KEY' \
  --header 'Content-Type: application/json' \
  --header 'x-api-version: 2025-11-01' \
  --data '{
    "filters": {
      "op": "and",
      "conditions": [
        { "field": "technographics.technologies.name", "type": "in", "value": ["Snowflake"] }
      ]
    }
  }'

To segment by category instead of a specific tool, for example every company using a cloud service, filter on technographics.technologies.category:

curl --request POST \
  --url https://api.crustdata.com/company/search \
  --header 'authorization: Bearer YOUR_API_KEY' \
  --header 'Content-Type: application/json' \
  --header 'x-api-version: 2025-11-01' \
  --data '{
    "filters": {
      "op": "and",
      "conditions": [
        { "field": "technographics.technologies.category", "type": "in", "value": ["cloud_service"] }
      ]
    }
  }'

Filterable and sortable paths:

Path	Type	Filter	Sort	Description
`technographics.total_technologies`	integer	Yes	Yes	Number of detected technologies
`technographics.top_technologies`	string[]	Yes	No	Most notable technology names
`technographics.technologies.name`	string[]	Yes	No	Detected technology names
`technographics.technologies.category`	string[]	Yes	No	Detected technology categories

Pricing. Filtering and sorting on technographics uses standard Company Search pricing of 0.03 credits per result returned, with no add-on. The technographics add-on applies only when you return the data through Company Enrich.

technographics.total_technologies is a raw count that tracks company size and job-posting volume more than stack sophistication. Sort on it for reach, not as a quality signal.

Discover valid filter values with the technology and technology_category autocomplete fields so your filters match the values Crustdata uses.

See the Company Search reference for the full list of filter-only fields.

Coverage and freshness

Signals. Technologies are detected from two independent sources: the company’s web presence ("web signals") and its job postings ("job posting"). A technology can be found by either or both, and the sources array tells you which.
Categories. Every technology is mapped to a lowercase snake_case category (for example programming_language, framework, cloud_service, product, ai_model), so you can filter and segment at the category level as well as by specific tool. Enumerate the current category values with the technology_category autocomplete field.
Freshness. updated_at reflects the last refresh of the company’s technographics as a whole. Individual technologies are not timestamped, so a signal from an older job posting and a recent one look the same. During beta, coverage is expanding, so if a company you expect is thin or missing, let us know at support@crustdata.co.

What to do next

Company Enrich reference: full response schema.
Company Search reference: filter and sort fields.
Autocomplete: valid technology and category values.
Permissions: check whether technographics is enabled on your account.

​Where technographics is available

​At a glance

​The problem: firmographics don’t tell you what a company is built on

​The solution: a ready-made stack on the Company API

​Access and pricing

​Example: read a company’s stack (Enrich)

​Fields

​Example: target companies by tech stack (Search)

​Coverage and freshness

​What to do next

Where technographics is available

At a glance

The problem: firmographics don’t tell you what a company is built on

The solution: a ready-made stack on the Company API

Access and pricing

Example: read a company’s stack (Enrich)

Fields

Example: target companies by tech stack (Search)

Coverage and freshness

What to do next