PredictLeads: Discover Technology Detections

Returns Companies using a specific Technology as a list of Technology Detections, ordered by the first_seen_at, descending.

Tool ID: predictleads_discover_technology_detections

Run this action

Use the TypeScript SDK for a single call. Put ctx.tools.execute(...) inside a Play when the call should be durable, scheduled, or run across a CSV.

import { Deepline } from 'deepline';

const deepline = await Deepline.connect();
const result = await deepline.tools.execute(
  'predictleads_discover_technology_detections',
  {
    "technology_id_or_fuzzy_name": "Example"
  },
);

console.log(result.toolResponse.raw);

CLI

deepline tools execute predictleads_discover_technology_detections --input '{
  "technology_id_or_fuzzy_name": "Example"
}' --json

Example response

The static output schema is not detailed enough to generate a reliable example. Use deepline tools get predictleads_discover_technology_detections --json for the complete live contract.

Input reference

Returns Companies using a specific Technology as a list of Technology Detections, ordered by the first_seen_at, descending. E.g. using this endpoint one can get a list of all companies using HubSpot or any other of the 53,000 technologies PredictLeads tracks. The specific Technology ID can be obtained by querying the ** Retrieve all tracked Technologies ** endpoint.

Name	Type	Required	Default	Details
`payload.technology_id_or_fuzzy_name`	`string`	Yes	—	Technology’s ID or fuzzy name.
`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	`30`	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.

The table shows the first 50 fields. Use the live contract below for every field.

This output schema is too large to embed without slowing the page. Get the complete live contract with deepline tools get predictleads_discover_technology_detections --json.

Deepline cost

Pricing model: per_result (per result).
Estimated Deepline credits: 0.56 per pricing unit.

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Reference

PredictLeads: Discover Technology Detections

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Example response

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Example response

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