Tool ID:
predictleads_company_technology_detectionsRun 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(
'predictleads_company_technology_detections',
{
"company_id_or_domain": "example.com"
},
);
console.log(result.toolResponse.raw);
CLI
deepline tools execute predictleads_company_technology_detections --input '{
"company_id_or_domain": "example.com"
}' --json
Example response
The static output schema lacks the details for a reliable example. Usedeepline describe predictleads_company_technology_detections --json for the complete live contract.
Input reference
Returns Technologies used by a specific Company as a list of Technology Detections.| Name | Type | Required | Default | Details |
|---|---|---|---|---|
payload.company_id_or_domain | string | Yes | — | Company’s ID or domain. |
payload.first_seen_at_from | string | No | — | Only return TechnologyDetections first seen after given date (ISO 8601). Format: date. |
payload.first_seen_at_until | string | No | — | Only return TechnologyDetections first seen before given date (ISO 8601). Format: date. |
payload.last_seen_at_from | string | No | — | Only return TechnologyDetections last seen after given date (ISO 8601). Format: date. |
payload.last_seen_at_until | string | No | — | Only return TechnologyDetections last seen before given date (ISO 8601). Format: date. |
payload.page | integer | No | 1 | Page number of shown items. NOTE: If the parameter is not provided, the meta property count will be omitted from response for performance reasons. Minimum: 1. |
payload.limit | integer | No | 100 | Limit the number of shown items per page. Maximum: 1000. |
Output reference
Standard tool result payload.| Name | Type | Required | Default | Details |
|---|---|---|---|---|
result.data | object | Yes | — | The Technology Detections Dataset provides insights into the tech stack of a given company. NOTE: If you’re searching for general information about technologies please check the ** Technologies Dataset ** section. Since 2018, PredictLeads has detected approximately 1,250 million technology adoptions for about 83 million companies. The Technology Detection Dataset includes fields such as Technology Name, Technology ID, Ticker, First Seen At, Last Seen At, Seen on Subpages Count and other See the live schema for the complete constraint. |
result.data.data | array | Yes | — | — |
result.data.data[].id | string | Yes | — | ID of the TechnologyDetection object. Format: uuid. |
result.data.data[].type | "technology_detection" | Yes | — | Type of the TechnologyDetection object. |
result.data.data[].attributes | object | Yes | — | Attributes of the TechnologyDetection object. |
result.data.data[].attributes.first_seen_at | string | Yes | — | Date & time (ISO 8601) of when the TechnologyDetection was first seen. Format: date-time. |
result.data.data[].attributes.last_seen_at | string | Yes | — | Date & time (ISO 8601) of when the TechnologyDetection was last seen. Format: date-time. |
result.data.data[].attributes.behind_firewall | boolean | Yes | — | When false it was found via the company website JS/HTML tag. If it was found both on a company website JS/HTML tag and also via JobOpening description, this attribute will be false. |
result.data.data[].attributes.score | number | Yes | — | — |
result.data.data[].attributes.source_count | integer | Yes | — | Total number of unique sources that confirm this technology detection, across job openings, subpages, DNS records, and connections. |
result.data.data[].attributes.department_onet_codes | array | Yes | — | List of unique ONET codes for job openings where the technology was detected, indicating which company departments use it. Empty when the technology was not detected via job openings. |
result.data.data[].attributes.location_data | array | Yes | — | List of unique locations from job openings where the technology was detected. Empty when the technology was not detected via job openings. |
result.data.data[].attributes.location_data[].city | string | null | Yes | — | City of the location. |
result.data.data[].attributes.location_data[].state | string | null | Yes | — | State of the location. |
result.data.data[].attributes.location_data[].country | string | null | Yes | — | Country of the location. |
result.data.data[].relationships | object | Yes | — | The data contains references to related objects listed in the included property. |
result.data.data[].relationships.technology | object | Yes | — | The data contains a reference to related TechnologyLite object listed in the included property. |
result.data.data[].relationships.technology.data | object | Yes | — | — |
result.data.data[].relationships.technology.data.id | string | Yes | — | ID of the included TechnologyLite object. Format: uuid. |
result.data.data[].relationships.technology.data.type | "technology" | Yes | — | Type of the included TechnologyLite object. |
result.data.data[].relationships.company | object | Yes | — | The data contains a reference to related CompanyLite object listed in the included property. |
result.data.data[].relationships.company.data | object | Yes | — | — |
result.data.data[].relationships.company.data.id | string | Yes | — | ID of the included CompanyLite object. Format: uuid. |
result.data.data[].relationships.company.data.type | "company" | Yes | — | Type of the included CompanyLite object. |
result.data.data[].relationships.seen_on_subpages | object | Yes | — | The data contains references to related DetectionOnSubpage objects listed in the included property. These references are ordered by last_seen_at in descending order (newest first) and limited to 5. |
result.data.data[].relationships.seen_on_subpages.data | array | Yes | — | — |
result.data.data[].relationships.seen_on_subpages.data[].id | string | Yes | — | ID of the included DetectionOnSubpage object. Format: uuid. |
result.data.data[].relationships.seen_on_subpages.data[].type | "detection_on_subpage" | Yes | — | Type of the included DetectionOnSubpage object. |
result.data.data[].relationships.seen_on_job_openings | object | Yes | — | The data contains references to related JobOpeningLite objects listed in the included property. These references are ordered by last_seen_at in descending order (newest first) and limited to 5. |
result.data.data[].relationships.seen_on_job_openings.data | array | Yes | — | — |
result.data.data[].relationships.seen_on_job_openings.data[].id | string | Yes | — | ID of the included JobOpeningLite object. Format: uuid. |
result.data.data[].relationships.seen_on_job_openings.data[].type | "job_opening" | Yes | — | Type of the included JobOpeningLite object. |
result.data.data[].relationships.seen_on_dns_records | object | Yes | — | The data contains references to related DnsRecord objects listed in the included property. These references are ordered by last_seen_at in descending order (newest first) and limited to 5. |
result.data.data[].relationships.seen_on_dns_records.data | array | Yes | — | — |
result.data.data[].relationships.seen_on_dns_records.data[].id | string | Yes | — | ID of the included DnsRecord object. Format: uuid. |
result.data.data[].relationships.seen_on_dns_records.data[].type | "dns_record" | Yes | — | Type of the included DnsRecord object. |
result.data.data[].relationships.seen_on_connection | object | Yes | — | The data contains a reference to related ConnectionLite object listed in the included property. |
result.data.data[].relationships.seen_on_connection.data | object | Yes | — | — |
result.data.data[].relationships.seen_on_connection.data.id | string | Yes | — | ID of the included ConnectionLite object. Format: uuid. |
result.data.data[].relationships.seen_on_connection.data.type | "connection" | Yes | — | Type of the included ConnectionLite object. |
result.data.data[].relationships.competitive_technology_detections | object | Yes | — | The data contains references to related TechnologyDetectionLite objects listed in the included property. |
result.data.data[].relationships.competitive_technology_detections.data | array | Yes | — | — |
result.data.data[].relationships.competitive_technology_detections.data[].id | string | Yes | — | ID of the included TechnologyDetectionLite object. Format: uuid. |
result.data.data[].relationships.competitive_technology_detections.data[].type | "technology_detection" | Yes | — | Type of the included TechnologyDetectionLite object. |
result.data.data[].relationships.competitive_technology_detections.meta | object | Yes | — | Meta information about the competitive technology detections. |
result.data.data[].relationships.competitive_technology_detections.meta.max_source_count | integer | Yes | — | Maximum source_count among all competitive technology detections. |
result.data.included | array | Yes | — | Contains objects referenced in property relationships. |
result.data.included[].id | string | Yes | — | ID of the CompanyLite object. |
result.data.included[].type | "company" | Yes | — | Type of the CompanyLite object. |
result.data.included[].attributes | object | Yes | — | Attributes of the CompanyLite object. |
This output schema is too large for an inline display. Read the complete live contract with
deepline describe predictleads_company_technology_detections --json.Deepline cost
- Pricing model:
fixed(per call). - Estimated Deepline credits:
0.56per pricing unit.