Tool ID:
theirstack_technographicsRun this action
Use the TypeScript SDK for one call. Usectx.tools.execute(...) inside a Play for durable calls, scheduled calls, or CSV processing.
import { Deepline } from 'deepline';
const deepline = await Deepline.connect();
const result = await deepline.tools.execute(
'theirstack_technographics',
{
"company_id": "company_123",
"company_name": "Example Corp",
"company_domain": "example.com"
},
);
console.log(result.toolResponse.raw);
CLI
deepline tools execute theirstack_technographics --input '{
"company_id": "company_123",
"company_name": "Example Corp",
"company_domain": "example.com"
}' --json
Example response
The SDK returns this shape atresult.toolResponse.raw. The example values illustrate the response.
{
"data": {
"data": [
{
"technology": {
"name": "Example",
"slug": "example"
},
"confidence": "low",
"jobs": 123,
"jobs_last_7_days": 123,
"jobs_last_30_days": 123,
"jobs_last_180_days": 123,
"first_date_found": "2026-01-15",
"last_date_found": "2026-01-15",
"rank_within_category": 123,
"relative_occurrence_within_category": 123
}
],
"metadata": {
"total_results": 1,
"truncated_results": 0,
"truncated_companies": 0
}
}
}
deepline describe theirstack_technographics --json for the latest machine-readable contract.
Input reference
Filter technologies and buying intent topics detected for a company.| Name | Type | Required | Default | Details |
|---|---|---|---|---|
payload.company_id | string | No | — | Only return companies that match this TheirStack Company ID exactly. This ID is temporary and internal and will change in the future and become stable. Until then, it is only meant to be used internally by our UI (app.theirstack.com). For deduplication logic, use company_domain or company_linkedin_url instead. |
payload.company_name | string | No | — | Only return companies that match this name exactly, case-sensitively. |
payload.company_domain | string | No | — | Only return companies that match this domain exactly. It accepts full urls (https://www.google.com/) and emails (john.polo@gmail.com). |
payload.company_linkedin_url | string | No | — | Return companies whose LinkedIn URL matches this URL exactly. |
payload.company_name_or | array | No | [] | Only return companies that match these names exactly, case-sensitively. Deprecated, use the company_name filter instead. |
payload.order_by | array | No | [{"desc":true,"field":"confidence"},{"desc":true,"field":"jobs"}] | List of column objects. You can pass several columns to order by, in order of priority. Only field is required, desc is True by default. |
payload.include_total_results | boolean | No | false | When enabled, calculates and returns total_results and total_companies fields in the response. WARNING: This significantly slows down responses as it requires reading the entire dataset. Recommended usage: enable only for the initial request to get totals, then disable for subsequent pagination requests. |
payload.offset | integer | No | — | Number of results to skip. Required for offset-based pagination. Minimum: 0. |
payload.page | integer | No | — | Page number. Required when using page-based pagination. Minimum: 0. |
payload.limit | integer | No | — | Number of results per page. Maximum 500 per page. Use page to fetch additional pages. Minimum: 1. |
payload.keyword_slug_or | array | No | [] | Return companies that have mentioned any of these keywords (technologies or buying intent topics) in their jobs. Case sensitive. Pass slugs. Check out all keywords at GET /v0/catalog/keywords |
payload.keyword_category_slug_or | array | No | [] | Return companies that have mentioned any keyword from any of these categories in their jobs. Case sensitive. Pass slugs. Check out all keyword categories at GET /v0/catalog/keywords/categories |
payload.keyword_parent_category_slug_or | array | No | [] | Return companies that have mentioned any keyword from any of these parent categories in their jobs. Case sensitive. Pass slugs. Check out all keyword categories at GET /v0/catalog/keywords/categories |
payload.technology_slug_or | array | No | [] | Deprecated: use keyword_slug_or instead. Will return companies that have mentioned any of these technologies in their jobs. Case sensitive. Pass slugs. |
payload.technology_category_slug_or | array | No | [] | Deprecated: use keyword_category_slug_or instead. Will return companies that have mentioned any keyword from any of these categories in their jobs. Case sensitive. Pass slugs. |
payload.technology_parent_category_slug_or | array | No | [] | Deprecated: use keyword_parent_category_slug_or instead. Will return companies that have mentioned any keyword from any of these parent categories in their jobs. Case sensitive. Pass slugs. |
payload.max_rank | integer | No | — | The rank measures how common is a technology within its category. The technology most used among similar ones by a company will have a rank of 1, the second: 2, etc. This is useful to filter results by technology and get only results for the primary technology. |
payload.min_jobs | integer | No | — | Minimum number of jobs found by each company using a technology |
payload.max_jobs | integer | No | — | Maximum number of jobs found by each company using a technology |
payload.min_relative_occurrence | number | No | — | Minimum value of relative_occurrence_within_category for each technology. Higher values increase the probability that this technology is actually used by the company, because it means a higher percentage of mentions to technologies among this category are of this technology. |
payload.first_date_found_gte | string | No | — | Only return technologies where the first time they were found was after or on this date. Format: “YYYY-MM-DD” Format: date. |
payload.first_date_found_lte | string | No | — | Only return technologies where the first time they were found was before or on this date. Format: “YYYY-MM-DD” Format: date. |
payload.last_date_found_gte | string | No | — | Only return technologies where the last time they were found was after or on this date. Format: “YYYY-MM-DD” Format: date. |
payload.last_date_found_lte | string | No | — | Only return technologies where the last time they were found was before or on this date. Format: “YYYY-MM-DD” Format: date. |
payload.confidence_or | array | No | [] | Returns technologies with any of these confidence values that the companies use them. Available values: “high”, “medium”, “low” |
payload.company_keyword_slug_or | array | No | [] | Return companies that have mentioned any of these keywords (technologies or buying intent topics) in their jobs. Case sensitive. Pass slugs. Check out all keywords at GET /v0/catalog/keywords |
payload.company_technology_slug_or | array | No | [] | Return companies that have mentioned any of these keywords (technologies or buying intent topics) in their jobs. Case sensitive. Pass slugs. Check out all keywords at GET /v0/catalog/keywords |
Output reference
Standard tool result payload.| Name | Type | Required | Default | Details |
|---|---|---|---|---|
result.data | object | Yes | — | Provider response payload. |
result.data.data | array | Yes | — | — |
result.data.data[].technology | object | Yes | — | — |
result.data.data[].technology.name | string | Yes | — | — |
result.data.data[].technology.category | string | null | No | — | Category of the keyword |
result.data.data[].technology.type | "technology" | "software_product" | "technology_concept" | "operational_activity" | "strategic_initiative" | "metric_or_concept" | "product_or_service_offered" | "regulation" | "threat_or_risk" | "event" | "commodity" | "industry_vertical" | "physical_equipment" | "medical_research" | "government_body" | No | — | Type of the keyword (e.g. technology, operational_activity) Allowed: technology, software_product, technology_concept, operational_activity, strategic_initiative, metric_or_concept, product_or_service_offered, regulation, threat_or_risk, event, commodity, industry_vertical, physical_equipment, medical_research, government_body. |
result.data.data[].technology.slug | string | Yes | — | Slug of the keyword |
result.data.data[].technology.category_slug | string | null | No | — | Slug of the category of the keyword |
result.data.data[].technology.parent_category | string | null | No | — | Parent category of the keyword |
result.data.data[].technology.parent_category_slug | string | null | No | — | Slug of the parent category of the keyword |
result.data.data[].technology.logo | string | null | No | — | Logo of the keyword |
result.data.data[].technology.logo_thumbnail | string | null | No | — | Thumbnail of the keyword |
result.data.data[].confidence | "low" | "medium" | "high" | Yes | — | How confident we are that the company uses this technology Allowed: low, medium, high. |
result.data.data[].jobs | integer | Yes | — | Number of jobs found mentioning this technology |
result.data.data[].jobs_last_7_days | integer | Yes | — | Number of jobs from the given company mentioning this technology in the last 7 days |
result.data.data[].jobs_last_30_days | integer | Yes | — | Number of jobs from the given company mentioning this technology in the last 30 days |
result.data.data[].jobs_last_180_days | integer | Yes | — | Number of jobs from the given company mentioning this technology in the last 180 days |
result.data.data[].first_date_found | string | Yes | — | Date when the keyword was first mentioned by the company in a job post Format: date. |
result.data.data[].last_date_found | string | Yes | — | Date when the keyword was last mentioned by the company in a job post Format: date. |
result.data.data[].rank_within_category | integer | Yes | — | Measures how common this technology is among the company’s jobs, compared to other technologies in the same category. The most mentioned technology in its category will have a rank of 1. This helps you infer which is the technology the company is most likely to be using, when they mention several technologies that belong to the same category. |
result.data.data[].relative_occurrence_within_category | number | Yes | — | Measures the relative occurance of this technology among other technologies in the same category, in jobs by this company. If there are 10 jobs where a company mentions 3 categories, and they appear in 8, 3 and 2 jobs respectively, its relative occurrences will be 0.8, 0.3 and 0.2. This helps you infer how likely it is that the company is using this technology, when they mention several technologies that belong to the same category. |
result.data.metadata | object | Yes | — | — |
result.data.metadata.total_results | integer | null | No | — | Total number of results |
result.data.metadata.truncated_results | integer | null | No | 0 | Number of results that were not returned because the user doesn’t have enough credits to fetch them all the possible results the API could have returned |
result.data.metadata.truncated_companies | integer | null | No | 0 | Number of companies that were not returned because the user doesn’t have enough credits to fetch all the possible results the API could have returned |
result.data.metadata.total_companies | integer | null | No | — | Total number of companies |
result.meta | object | No | — | Additional response metadata (status, paging). |
Deepline cost
- Pricing model:
per_result(per result). - Estimated Deepline credits:
1.66per pricing unit.