### V1_StartupRanking Schema Example Source: https://docs.dealroom.co/docs/premium-api/schemas/V1_StartupRanking An example of the V1_StartupRanking schema, showing the structure and data types for startup ranking metrics. ```json { "rating": 0, "completeness": 0, "team_strength": 0, "growth_rate": 0, "timing": 0 } ``` -------------------------------- ### Example Sustainable Development Goals Source: https://docs.dealroom.co/docs/premium-api/schemas/V1_Company Provides an example value for the 'sustainable_development_goals' field. ```text 0.25 ``` -------------------------------- ### User Object Example Source: https://docs.dealroom.co/docs/premium-api/schemas/V1_User This is an example of a user object, demonstrating the structure and data types for various fields. ```json { "type": "corporate", "id": 1, "name": "Dealroom.co", "path": "dealroom_co", "sub_types": [ "advisor" ], "url": "https://app.dealroom.co/companies/dealroom_co", "images": { "32x32": "string", "74x74": "string", "100x100": "string" }, "backgrounds": [ { "id": 0, "name": "string" } ], "gender": "male", "is_serial_founder": true, "universities": { "items": [ { "majors": [], "university": {} } ], "total": 0 }, "deleted": true, "tagline": "Data-driven intelligence on high-growth companies", "website_url": "https://dealroom.co", "twitter_url": "https://twitter.com/dealroomco" } ``` -------------------------------- ### V1_BaseFunding Schema Example Source: https://docs.dealroom.co/docs/premium-api/schemas/V1_BaseFunding This is an example of the V1_BaseFunding schema, showing the structure and data types for a funding round. ```json { "id": 0, "year": 2024, "month": 12, "amount": 0.2, "amount_source": 200000, "currency": "EUR", "round": "SEED", "valuation": 1000000, "valuation_generated_min": 800000, "valuation_generated_max": 1200000, "news_source": "string", "investors": [ { "type": "corporate", "id": 1, "name": "Dealroom.co", "path": "dealroom_co", "sub_types": [ null ], "url": "https://app.dealroom.co/companies/dealroom_co", "images": {}, "lead": true } ], "is_verified": true, "amount_eur_million": 0.25, "amount_usd_million": 0.28, "transaction_multiples": { "ev_revenue_multiple": 0, "ev_ebitda_multiple": 0, "ev_profit_multiple": 0 } } ``` -------------------------------- ### Example Currency Source: https://docs.dealroom.co/docs/premium-api/schemas/V1_Company Provides an example of the currency code used for financial data. ```text EUR ``` -------------------------------- ### V1_RemovedBobject Example Source: https://docs.dealroom.co/docs/premium-api/schemas/V1_RemovedBobject An example of the V1_RemovedBobject schema, showing the structure of a removed object. ```json { "type": "corporate", "id": 1, "name": "Dealroom.co", "remove_date": "2024-03-18T10:01:01+00:00" } ``` -------------------------------- ### V1 Kpi Schema Example Source: https://docs.dealroom.co/docs/premium-api/schemas/V1_Kpi This is an example of the V1 Kpi schema structure, showing all available fields and their expected data types. ```json { "id": 0, "last_update_date": "2024-03-10T09:38:24+00:00", "last_update_date_utc": "2024-03-18 14:01:22", "currency": "EUR", "values": [ { "year": 0, "valuation": 0, "valuation_source": 1, "revenue": 0, "revenue_growth": 0, "revenue_source": 1, "ebitda": 0, "ebitda_margin": 0, "ebitda_source": 1, "profit": 0, "profit_margin": 0, "profit_source": 1, "rnd": 0, "rnd_margin": 0, "rnd_source": 1, "ev_revenue": 0, "ev_ebitda": 0 } ], "valuations": [ { "id": 0, "year": 0, "month": 0, "day": 0, "source": "kpi", "source_round": "string", "valuation_min": 0, "valuation": 0, "valuation_max": 0, "valuation_currency": "string", "market_cap": 0, "market_cap_currency": "string", "net_debt": 0, "net_debt_currency": "string" } ], "values_sources": [ { "id": 0, "name": "string" } ] } ``` -------------------------------- ### V1_Note Schema Example Source: https://docs.dealroom.co/docs/premium-api/schemas/V1_Note This is an example of the V1_Note schema, illustrating the structure and data types for a note object. ```json { "id": 0, "is_expired": true, "preview": "string", "title": "string", "text": "string", "meta": "string", "created": "string", "updated": "string", "user": { "type": "corporate", "id": 1, "name": "Dealroom.co", "path": "dealroom_co", "sub_types": [ "advisor" ], "url": "https://app.dealroom.co/companies/dealroom_co", "images": { "32x32": "string", "74x74": "string", "100x100": "string" } } } ``` -------------------------------- ### Shared_KpiValue Example Source: https://docs.dealroom.co/docs/premium-api/schemas/Shared_KpiValue An example of the Shared_KpiValue schema, illustrating the expected format for financial key performance indicators. ```json { "year": 0, "valuation": 0, "valuation_source": 1, "revenue": 0, "revenue_growth": 0, "revenue_source": 1, "ebitda": 0, "ebitda_margin": 0, "ebitda_source": 1, "profit": 0, "profit_margin": 0, "profit_source": 1, "rnd": 0, "rnd_margin": 0, "rnd_source": 1, "ev_revenue": 0, "ev_ebitda": 0 } ``` -------------------------------- ### Example PIC Number Source: https://docs.dealroom.co/docs/premium-api/schemas/V1_Company Shows an example of the PIC number used for European Commission client identification. ```text 999984059 ``` -------------------------------- ### V1_UserCompany Schema Example Source: https://docs.dealroom.co/docs/premium-api/schemas/V1_UserCompany An example of the V1_UserCompany schema structure, illustrating the expected format for user company data. ```json { "type": "corporate", "id": 1, "name": "Dealroom.co", "path": "dealroom_co", "sub_types": [ "advisor" ], "url": "https://app.dealroom.co/companies/dealroom_co", "images": { "32x32": "string", "74x74": "string", "100x100": "string" }, "linkedin_url": "https://www.linkedin.com/company/dealroom-co/", "titles": [ { "id": 0, "name": "string" } ], "past": true, "is_founder": true, "is_executive": true, "is_partner": true, "year_start": 2024, "year_end": 0, "raw_titles": "string", "is_strong_founder": "string", "is_super_founder": "string", "is_promising_founder": "string", "backgrounds": [ "string" ], "gender": "string", "is_serial_founder": "string", "universities": { "items": [ "string" ], "total": 0 } } ``` -------------------------------- ### V1_NotifyEntity Schema Example Source: https://docs.dealroom.co/docs/premium-api/schemas/V1_NotifyEntity This example demonstrates the structure of a V1_NotifyEntity object, including website, name, type, and industry. ```json { "website": "string", "extras": { "name": "Dealroom.co", "type": "startup", "industry": "fintech" } } ``` -------------------------------- ### Shared_DummyItemsArray Example Source: https://docs.dealroom.co/docs/premium-api/schemas/Shared_DummyItemsArray This example demonstrates the structure of the Shared_DummyItemsArray schema, showing an array of strings for 'items' and an integer for 'total'. ```json { "items": [ "string" ], "total": 0 } ``` -------------------------------- ### Shared_JobOpeningType Example Source: https://docs.dealroom.co/docs/premium-api/schemas/Shared_JobOpeningType An example of the Shared_JobOpeningType schema, showing a job type and its corresponding integer value. ```json { "job_type": "Accounting", "value": 3 } ``` -------------------------------- ### V1 Funding Schema Example Source: https://docs.dealroom.co/docs/premium-api/schemas/V1_Funding This is an example of the V1 Funding schema, illustrating the structure and data types for a funding round. ```json { "id": 0, "year": 2024, "month": 12, "amount": 0.2, "amount_source": 200000, "currency": "EUR", "round": "SEED", "valuation": 1000000, "valuation_generated_min": 800000, "valuation_generated_max": 1200000, "news_source": "string", "investors": [ { "type": "corporate", "id": 1, "name": "Dealroom.co", "path": "dealroom_co", "sub_types": [ null ], "url": "https://app.dealroom.co/companies/dealroom_co", "images": {}, "lead": true } ], "is_verified": true, "amount_eur_million": 0.25, "amount_usd_million": 0.28, "transaction_multiples": { "ev_revenue_multiple": 0, "ev_ebitda_multiple": 0, "ev_profit_multiple": 0 }, "deleted": true, "company": { ``` -------------------------------- ### V1_BaseBobject Example Source: https://docs.dealroom.co/docs/premium-api/schemas/V1_BaseBobject This snippet shows an example of the V1_BaseBobject structure, illustrating the expected data types and fields for a corporate entity. ```json { "type": "corporate", "id": 1, "name": "Dealroom.co", "path": "dealroom_co", "sub_types": [ "advisor" ], "url": "https://app.dealroom.co/companies/dealroom_co", "images": { "32x32": "string", "74x74": "string", "100x100": "string" } } ``` -------------------------------- ### Companies Endpoint Example Source: https://docs.dealroom.co/docs This example demonstrates how to fetch company data using the Companies endpoint with various query parameters for filtering, partial responses, and ordering. ```APIDOC ## GET /companies ### Description Retrieves a list of companies based on specified criteria. ### Method GET ### Endpoint https://api.dealroom.co/api/v1/companies ### Parameters #### Query Parameters - **fields** (string) - Optional - Comma-separated list of fields to include in the response. Supports sub-partials using bracket notation (e.g., `similar(id,name)`). - **limit** (integer) - Optional - The maximum number of results to return. - **offset** (integer) - Optional - The number of results to skip. - **sort** (string) - Optional - Field to sort the results by. Prefix with `-` for descending order (e.g., `-field`). - **form_data** (object) - Optional - Object containing filtering criteria such as `must`, `should`, and `must_not` clauses for fields like `last_updated`, `industries`, `tags`, `hq_locations`, `fundings`, and `client_focus`. ### Request Example ```json { "form_data": { "must": { "last_updated": "2024-03-19 00:00:00", "industries": ["fintech"], "tags": ["banking","investing"], "hq_locations": ["Europe"] }, "should": { "fundings": ["1-10M"] }, "must_not": { "client_focus": ["consumer"] } } } ``` ### Response #### Success Response (200) - **data** (array) - List of company objects. - **next_page_id** (string) - Identifier for the next page of results. #### Response Example ```json { "data": [ { "id": "company_id_1", "name": "Example Company", "tagline": "Innovating the future" } ], "next_page_id": "next_page_token" } ``` ``` -------------------------------- ### V1 University Schema Example Source: https://docs.dealroom.co/docs/premium-api/schemas/V1_University An example of the V1 University schema structure, showing various fields and their data types. ```json { "type": "string", "id": 1, "name": "Dealroom.co", "deleted": true, "path": "dealroom_co", "tagline": "Data-driven intelligence on high-growth companies", "about": "Identify promising companies before everyone else. Dealroom helps professional investors, corporates and local governments to discover & track innovative tech companies.", "url": "https://app.dealroom.co/companies/dealroom_co", "website_url": "https://dealroom.co", "twitter_url": "https://twitter.com/dealroomco" } ``` -------------------------------- ### V1 Fund Under Management Schema Example Source: https://docs.dealroom.co/docs/premium-api/schemas/V1_FundUnderManagement An example JSON object representing the V1 Fund Under Management schema. ```json { "id": 0, "fund_name": "Fund I", "fund_type": "Venture Capital", "amount": 1000000, "currency": "EUR", "is_closed": true, "date": "2024-03-18T15:07:25+00:00", "date_utc": "2024-03-18 15:07:25", "feed_item": { "id": 0, "title": "Alipay Merchants Triple In Europe", "pub_date": "2024-03-18T10:01:01+00:00", "pub_date_utc": "2024-03-18 10:01:01" } } ``` -------------------------------- ### Example Business Emails Source: https://docs.dealroom.co/docs/premium-api/schemas/V1_Company Demonstrates the format for a list of business emails associated with an entity. ```text [ 1 { 2 "type": "corporate", 3 "id": 1, 4 "name": "Dealroom.co", 5 "deleted": true, 6 "path": "dealroom_co", 7 } ``` -------------------------------- ### V1_RangeFilter Example Source: https://docs.dealroom.co/docs/premium-api/schemas/V1_RangeFilter Demonstrates the format for a V1_RangeFilter, which accepts a string representing a date. ```text 2024-03-19 00:00:00 ``` -------------------------------- ### Company Analytics Example Source: https://docs.dealroom.co/docs/premium-api/schemas/V1_CompanyAnalytics An example of the V1 Company Analytics schema, showing various fields populated with sample data. ```json { "id": 1, "deleted": true, "path": "dealroom_co", "facebook_likes_chart": [ "string" ], "twitter_tweets_chart": [ "string" ], "twitter_followers_chart": [ "string" ], "twitter_favorites_chart": [ "string" ], "website_traffic_estimates_chart": [ { "date": "2021-01-01", "value": 0 } ], "employees_chart": [ { "date": "2021-01-01", "value": 0 } ], "growth_stage": "seed", "growth_stage_new": "seed stage", "kpi_summary": { "id": 0, "last_update_date": "2024-03-10T09:38:24+00:00", "last_update_date_utc": "2024-03-18 14:01:22", "currency": "EUR", "values": [ {} ], "valuations": [ {} ], "values_sources": [ {} ] }, "app_downloads_ios_chart": [ { "date": "2021-01-01", "value": 0 } ], "app_downloads_android_chart": [ { "date": "2021-01-01", "value": 0 } ], "app_downloads_ios_incremental_chart": [ { "date": "2021-01-01", "value": 0 } ], "app_downloads_android_incremental_chart": [ { "date": "2021-01-01", "value": 0 } ], "website_traffic_3_months_growth_unique": 5, "website_traffic_3_months_growth_percentile": "top half", "website_traffic_3_months_growth_relative": 100, "website_traffic_3_months_growth_delta": 100, "website_traffic_6_months_growth_unique": 5, "website_traffic_6_months_growth_percentile": "top half", "website_traffic_6_months_growth_relative": 100, "website_traffic_6_months_growth_delta": 100, "website_traffic_12_months_growth_unique": 5, "website_traffic_12_months_growth_percentile": "top half", "website_traffic_12_months_growth_relative": 100, "website_traffic_12_months_growth_delta": 100, "app_3_months_growth_unique": 5 } ``` -------------------------------- ### V1 CompanyShort Schema Example Source: https://docs.dealroom.co/docs/premium-api/schemas/V1_CompanyShort An example of the V1_CompanyShort schema structure, illustrating the expected data types and fields for a company entity. ```json { "type": "corporate", "id": 1, "name": "Dealroom.co", "path": "dealroom_co", "sub_types": [ "advisor" ], "url": "https://app.dealroom.co/companies/dealroom_co", "images": { "32x32": "string", "74x74": "string", "100x100": "string" }, "tagline": "Data-driven intelligence on high-growth companies", "website_url": "https://dealroom.co", "hq_locations": [ { "id": 0, "is_headquarters": true, "is_founding_location": true, "address": "string", "street": "string", "street_number": "string", "zip": "string", "lat": 0, "lon": 0, "continent": {}, "country": {}, "state": {}, "city": {} } ], "total_funding": 0, "total_funding_currency": "EUR", "total_funding_source": 200000, "industries": [ { "id": 0, "name": "string" } ], "growth_stage": "seed", "growth_stage_new": "seed stage", "website_traffic_estimates_chart": [ { "date": "2021-01-01", "value": 0 } ] } ``` -------------------------------- ### V1 Company Investors Schema Example Source: https://docs.dealroom.co/docs/premium-api/schemas/V1_CompanyInvestors This JSON object demonstrates the structure of a V1 Company Investors schema entry. It includes all available fields and their expected data types and example values. ```json { "type": "corporate", "id": 1, "name": "Dealroom.co", "path": "dealroom_co", "sub_types": [ "advisor" ], "url": "https://app.dealroom.co/companies/dealroom_co", "images": { "32x32": "string", "74x74": "string", "100x100": "string" }, "exited": true, "lead": true } ``` -------------------------------- ### V1_NextPageId Example Source: https://docs.dealroom.co/docs/premium-api/schemas/V1_NextPageId This is an example of a next page ID token. This token needs to be sent in the body of the request to retrieve the next set of results. ```json eyJwYWdlIjoxLCJ0b3RhbF9wYWdlcyI6NTA0LCJzY3JvbGxfaWQiOiJEWEYxWlhKNVFXNWtSbVYwWTJnQkFBQUFBQUFBQVJJV2MzaEVSekkwV1ZOVVJrdFFaRFpNTm5FMFZ6Tlpkdz09IiwidGltZXN0YW1wIjoxNTc5MTI5OTQ2LCJleHBpcmF0aW9uIjoiNW0ifQ ``` -------------------------------- ### V1 Companies Form Data Filter Example Source: https://docs.dealroom.co/docs/premium-api/schemas/V1_CompaniesFormData Demonstrates how to structure filter conditions for company searches using 'must', 'should', and 'must_not' clauses. This example shows date-based filtering for properties. ```json { "must": { "property1": "2024-03-19 00:00:00", "property2": "2024-03-19 00:00:00" }, "should": { "property1": "2024-03-19 00:00:00", "property2": "2024-03-19 00:00:00" }, "must_not": { "property1": "2024-03-19 00:00:00", "property2": "2024-03-19 00:00:00" } } ``` -------------------------------- ### V1_FoundersFormData Example Source: https://docs.dealroom.co/docs/premium-api/schemas/V1_FoundersFormData.AsObject This example demonstrates the structure of the V1_FoundersFormData object, which is used to apply filters to founder searches. It includes 'must', 'should', and 'must_not' clauses for specifying search conditions. ```json { "form_data": { "must": { "property1": "2024-03-19 00:00:00", "property2": "2024-03-19 00:00:00" }, "should": { "property1": "2024-03-19 00:00:00", "property2": "2024-03-19 00:00:00" }, "must_not": { "property1": "2024-03-19 00:00:00", "property2": "2024-03-19 00:00:00" } } } ``` -------------------------------- ### V1 Investor Filters Schema Example Source: https://docs.dealroom.co/docs/premium-api/schemas/V1_InvestorFilters An example JSON object demonstrating the structure of V1 Investor Filters, including various experience and location-based criteria. ```json { "deal_structure": { "key": "string", "items": [ {} ] }, "industry_experience": { "key": "string", "items": [ {} ] }, "country_experience": { "key": "string", "items": [ {} ] }, "location_experience": { "key": "string", "items": [ {} ] }, "business_model_experience": { "key": "string", "items": [ {} ] }, "tag_experience": { "key": "string", "items": [ {} ] }, "income_stream_experience": { "key": "string", "items": [ {} ] }, "hq_locations": { "key": "string", "items": [ {} ] }, "investment_stages": { "key": "string", "items": [ {} ] }, "investments_num": { "key": "string", "items": [ {} ] }, "last_updated": { "key": "string", "value": 0 } ``` -------------------------------- ### cURL Authentication Example Source: https://docs.dealroom.co/docs Demonstrates how to authenticate with the Dealroom API using cURL and an API key. ```bash curl --request POST -u '091df29088e2db05db4f76a2e53e2aaf:' https://api.dealroom.co/api/v1/companies ``` -------------------------------- ### PHP cURL Authentication Example Source: https://docs.dealroom.co/docs Shows how to set up basic authentication for Dealroom API requests using PHP cURL. ```php curl_setopt($ch, CURLOPT_HTTPAUTH, CURLAUTH_BASIC); curl_setopt($ch, CURLOPT_USERPWD, '091df29088e2db05db4f76a2e53e2aaf:'); ``` -------------------------------- ### Example Patents Count Source: https://docs.dealroom.co/docs/premium-api/schemas/V1_Company Provides an example for the total number of patents owned by an entity. ```text 10 ``` -------------------------------- ### Results Limit and Offset Example Source: https://docs.dealroom.co/docs/premium-api Demonstrates how to paginate results using the 'limit' and 'offset' query parameters. ```http ?limit=10&offset=10 ``` -------------------------------- ### Ordering Example Source: https://docs.dealroom.co/docs/premium-api Shows how to sort results by a specific field, including descending order with a minus prefix. ```http ?sort=field ?sort=-field ``` -------------------------------- ### V1 FeedItemShort Schema Example Source: https://docs.dealroom.co/docs/premium-api/schemas/V1_FeedItemShort An example JSON object conforming to the V1_FeedItemShort schema. ```json { "id": 0, "title": "Alipay Merchants Triple In Europe", "pub_date": "2024-03-18T10:01:01+00:00", "pub_date_utc": "2024-03-18 10:01:01", "summary": "Alipay has tripled its number of merchants in Europe to \u201ctens of thousands\u201d in the past year.", "content": "

Alipay has tripled its number of merchants in Europe to \u201ctens of thousands\u201d in the past year.

\n

\u201cWe\u2019re talking about tens of thousands of merchants who are really excited about the opportunity that Alipay provides them to tap into those wealthy and middle-class consumers, who are traveling to see the world and want to buy great brands from Europe,\u201d said Roland Palmer, head of Europe for Alipay, according to CNBC.

\n

Palmer added that Alipay has \u201caround 1 billion\u201d active users, with 55 countries now accepting Alipay — 29 countries in Europe alone. While trade tensions with the U.S., and slow growth, have caused concerns about the Chinese economy, Palmer dismissed these fears, noting that tourism for Chinese travelers is \u201cbooming\u201d in Europe.

\n

In fact, earlier this year, a survey by Nielsen, a global information and measurement company, and Alipay found that the average budget for travelers has increased, and more of them are using mobile payment systems than ever before. In fact, mobile payments surpassed cash payments for the first time in 2018, with 32 percent of all transactions going mobile.

\n

The push helped overseas merchants as well, with 58 percent saying that they integrated Alipay and found that more people came to their stores. In addition, 56 percent said they experienced better sales.

\n

Chinese tourists also traveled more than ever, visiting an average of 2.8 countries or regions, an increase from 2.1 in the previous year. Travel budgets were up 15 percent to $6,706, as well as spending, which was up 6 percent to $6,026. Last year, Chinese tourists traveled to more exotic locales, like Western Asia and Africa. As for Chinese millennials, born between 1990 and 1999, 5 percent even traveled to Nordic countries.

\n

The survey showed that there were three main categories of purchases for Chinese tourists: shopping, accommodations and dining. In addition, three major factors made up those buying decisions: discounts, quality and pricing.

", "link": "https://www.pymnts.com/news/retail/2019/alipay-merchants-europe-mobile-travel-payments/", "image": "https://securecdn.pymnts.com/wp-content/uploads/2019/06/CalibraApp_EarlyLook_EN@2x.png", "feed": { "id": 1, "name": "Example Feed Name", "link": null } } ``` -------------------------------- ### Investor Sort Key Example Source: https://docs.dealroom.co/docs/premium-api/schemas/SortKeys_V1_Investors Demonstrates a valid sort key for investor queries. Use one of the allowed values to specify sorting preferences. ```text name ``` -------------------------------- ### V1_UserShort Schema Example Source: https://docs.dealroom.co/docs/premium-api/schemas/V1_UserShort Demonstrates the structure of a V1_UserShort object, including basic user information, associated images, and sub-types. ```json { "type": "corporate", "id": 1, "name": "Dealroom.co", "path": "dealroom_co", "sub_types": [ "advisor" ], "url": "https://app.dealroom.co/companies/dealroom_co", "images": { "32x32": "string", "74x74": "string", "100x100": "string" }, "backgrounds": [ { "id": 0, "name": "string" } ], "gender": "male", "is_serial_founder": true, "universities": { "items": [ { "majors": [], "university": {} } ], "total": 0 } } ``` -------------------------------- ### Partial Response Example Source: https://docs.dealroom.co/docs Illustrates how to request specific fields and sub-fields for partial API responses. ```http ?fields=id,name,tagline ?fields=id,name,similar(id,name) ``` -------------------------------- ### Example Last Update Date Source: https://docs.dealroom.co/docs/premium-api/schemas/V1_Company Demonstrates the date format for the last update of company information. ```text 2024-03-10T09:38:24+00:00 ``` -------------------------------- ### Shared_Feed Schema Example Source: https://docs.dealroom.co/docs/premium-api/schemas/Shared_Feed An example of the Shared_Feed object structure, including its fields: id, name, and link. ```json { "id": 0, "name": "string", "link": "string" } ``` -------------------------------- ### V1_RemovedTransaction Schema Example Source: https://docs.dealroom.co/docs/premium-api/schemas/V1_RemovedTransaction This is an example of the V1_RemovedTransaction schema, showing the structure and data types for a removed transaction record. ```json { "id": 0, "company_id": 0, "company_name": "string", "remove_date": "2024-03-18T10:01:01+00:00" } ``` -------------------------------- ### Example Last Update Date UTC Source: https://docs.dealroom.co/docs/premium-api/schemas/V1_Company Shows the date and time format for the last update in UTC. ```text 2024-03-18 14:01:22 ``` -------------------------------- ### Shared_Any Schema Example Source: https://docs.dealroom.co/docs/premium-api/schemas/Shared_Any This snippet shows an example of the Shared_Any schema, which can represent a value of any type, typically a string. ```json 1 ``` ```string string ``` -------------------------------- ### Shared_JobOpeningCountry Schema Example Source: https://docs.dealroom.co/docs/premium-api/schemas/Shared_JobOpeningCountry This snippet shows an example of the Shared_JobOpeningCountry schema, representing job openings in France with a value of 3. ```json { "country": "France", "value": 3 } ``` -------------------------------- ### Example Employee Growth Data Source: https://docs.dealroom.co/docs/premium-api/schemas/V1_Company Illustrates the format for employee growth metrics over different time periods. ```text 5 ``` ```text 100 ``` ```text 100 ```