---
title: "[ALPHA] Search documents about a company"
method: GET
path: "/companies/{company_id}/search"
tags: ["companies"]
---

# \[ALPHA\] Search documents about a company

`GET /companies/{company_id}/search`

## Request

- Base URL: `https://api.getpg.ai/public-api/v1`
- URL: `https://api.getpg.ai/public-api/v1/companies/{company_id}/search`
- Auth: API key in header `x-api-key`
- TypeScript: <https://skmtc.dev/getpg/apis/pg-ai-public-api/docs/companies/:company_id/search/get.ts> (a function with typed inputs; its response is checked against the schema)

Semantic search across the documents PG:AI holds for this company — public sources (earnings call transcripts, news articles and other public filings) and any files your team has uploaded and tagged to the same company. Each result includes a `source_type` of either `public_doc` or `uploaded_doc`. The response carries a single top-level `company` object (`{ id, name, domain }`) for the path company; individual items do not repeat it. Use `GET /companies/{company_id}/relevance` for a wider relevance feed that also includes web pages, jobs and technologies.

## Path parameters

- `company_id` string, required

## Query parameters

- `q` string, required
- `page` integer
- `per_source` integer
- `date_from` string
- `date_to` string

## Response `200`

Success — `{ items, total, page, per_page, company }`. Top-level `company` is `{ id, name, domain }` for the path company (items omit per-row `company`). Each item has `source_type` (`public_doc` | `uploaded_doc`), `id`, `title`, `text`, optional `event` / `file` blocks as for other search responses.

- object: Response data

## Other responses

- `400`: Validation error
- `401`: Unauthorized
- `500`: Unexpected error
- `503`: Search / data service unavailable

---

[API](https://skmtc.dev/getpg/apis/pg-ai-public-api.md) - [All operations](https://skmtc.dev/getpg/apis/pg-ai-public-api/llms.txt) - [OpenAPI document](https://skmtc.dev/getpg/apis/pg-ai-public-api/revisions/cc47d013c073?raw)