Research Company Technology, Apps and Buyer Signals

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Retrieve documented technology and business-research sections for a selected Crunchbase company. The required company query parameter accepts a Crunchbase permalink such as openai, an organization UUID, or a full Crunchbase organization URL. No date-range, technology-filter or pagination parameter is documented. The endpoint description covers technology tools, apps, web traffic, intellectual property, IT spend and buyer-intent topics where available. The available response evidence is an unverified documented example, not an observed live response. Its company object contains id, image, link, name, type and uuid. technologies entries contain name, categories and companies_using, with technologies_count reported separately. products entries contain name and description, alongside products_count. products_used entries contain name, image, status and customers_count. apps entries contain name, image, stores and downloads_monthly; related top-level fields are apps_count, app_downloads_monthly and app_downloads_change_monthly. Both app_downloads_change_monthly and some per-app downloads_monthly values are null in the example. The documented web_traffic object includes visits_monthly, visits_change_monthly and updated_on. intellectual_property includes patents_count, trademarks_count, top_patent_category and top_trademark_class; top_patent_category is null in the example. it_spend contains amount, amount_usd and currency. buyer_intent contains updated_on and topics entries with topic, category, surge_score and weeks_surging. Some products_used customers_count values are also null. These sections are research signals, not a verified installed-software inventory or evidence of an active purchase. The evidence does not establish measurement methodology, change-value units, spend period, score scale or refresh guarantees. Preserve missing values rather than substituting zero, inspect section dates when returned, and do not interpret companies_using or customers_count as the target company's customer total.

API Features

Technology and Product Research Sections The example separates technologies, products and products_used, including technology categories and product status fields. These records do not establish a verified current software installation.
App Listings and Download Context Documented apps include store labels and monthly download fields, with apps_count and aggregate app_downloads_monthly alongside them. Per-app download values and the monthly-change field can be null.
Dated Website Traffic Metrics The web_traffic object documents visits_monthly, visits_change_monthly and updated_on. Inspect the returned date and avoid assuming either live traffic measurement or a unit for the change value.
Patent and Trademark Indicators The intellectual_property section documents patent and trademark counts plus top category or class labels. A top_patent_category can be null, and these indicators are not a legal patent portfolio review.
Currency-Aware IT Spend Fields The example exposes it_spend amount, amount_usd and currency. It does not establish a spending period or measurement method, so use the values as qualified research context.
Buyer-Intent Topic Indicators Documented buyer_intent topics include category, surge_score and weeks_surging with a section-level updated_on date. A topic signal is not a confirmed procurement plan or live buying commitment.

Live API Demo

GET /api/project/crunchbase/company-tech-stack

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API Response (JSON)

{}
curl -X GET 'https://api.opendata-api.com/api/project/crunchbase/company-tech-stack?key=<API_KEY>&company=openai'
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Use Cases

Frequently asked questions

What identifier does the company technology lookup require?

Supply the required company query parameter as a Crunchbase organization permalink such as openai, an organization UUID or a full Crunchbase organization URL. A domain or free-text company name is not a documented input format for this route.

Are all technology, traffic and spending fields confirmed by a live response?

No live response is recorded in the available evidence for this endpoint. The listed technologies, products, products_used, apps, web_traffic, intellectual_property, it_spend and buyer_intent sections come from an unverified documented example. Their presence and completeness should not be assumed for every company.

Does products_used prove that a company currently has a tool installed?

No. Treat products_used status and technology records as research signals rather than an audited installed-base inventory. products describes named products separately. The example does not document how these records are collected or verified, and companies_using or customers_count should not be relabeled as the target company's customer count.

How should I handle null download, customer-count or patent-category fields?

Preserve null values. The example includes a null app_downloads_change_monthly, some null per-app downloads_monthly and products_used customers_count values, and a null top_patent_category. Null does not establish zero downloads, zero customers or absence of patents.

Are web traffic and IT spend live metrics with documented units and periods?

The example provides web_traffic visits_monthly, visits_change_monthly and updated_on, plus it_spend amount, amount_usd and currency. It does not establish refresh guarantees, change-value units, measurement methodology or an IT-spend period. Keep returned dates and currency labels instead of inventing those details.

Does a buyer-intent topic mean the company is ready to purchase?

No. The documented buyer_intent section contains topics with category, surge_score and weeks_surging plus an updated_on date. The score scale is not documented, and these signals do not confirm a purchasing decision, a budget or a current procurement project.

Can I request a historical period or filter for a particular technology?

Only the required company query parameter is documented. There are no documented date-range, technology-filter or pagination controls. Any comparison of returned records must preserve unavailable metrics and should not assume historical coverage.

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