akta.pro

Name: akta.pro
Author: akta

akta.pro is a private company data, news, and signals API built for AI agents, developers, and enterprise teams.

От сообществаРаботаетБез входаГлобальныйБесплатноМожет изменять данные

Что умеет

Company Search: Resolve a company by name or website to its akta-pro identifiers. ALWAYS call this first. Every other company tool accepts ONLY the `uuid` returned here — names and websites are reject
Company Data: Enrich a company with the requested sections, returned as Markdown. akta-pro renders the (large, deeply-nested) company data into clean Markdown server-side. Sections (credits): firmogra
Company Data Concise: Return a condensed company overview (no section selection). akta-pro returns a slimmed JSON with the fluff redacted — much smaller than full enrichment. Intended flat cost 8 cred

Какие данные видит

Нужен ли аккаунт

Не нужен: сервер работает без входа

akta.pro is a private company data, news, and signals API built for AI agents, developers, and enterprise teams. It provides structured intelligence on 20M+ public and private companies, real-time and historical news signals, targeted list generation, and alternative signals such as headcount, website traffic, job posts, social posts, and reviews. Access it through API, MCP, CLI, or bulk data. Pay-as-you-go.

Список инструментов сервера (14)

Технические названия из tools/list. Нужны только разработчикам.

company_search	Resolve a company by name or website to its akta-pro identifiers. ALWAYS call this first. Every other company tool accepts ONLY the `uuid` returned here — names and websites are rejected — so this is also the only way to check whether a company exists in akta-pro at all. Free (0 credits). Returns candidates with uuid, name, website, product_category, and public/private status. Results are ranked but not disambiguated: one website can map to several distinct entities (stripe.com → Stripe, Stripe Capital, Stripe Atlas). Pick the candidate that matches the user's intent, and if none does, say the company isn't covered rather than passing a guessed uuid.
company_data	Enrich a company with the requested sections, returned as Markdown. akta-pro renders the (large, deeply-nested) company data into clean Markdown server-side. Sections (credits): firmographic 2, business_model 2, company_assessment 2, trust_signal 0.5, company_hierarchy 0.5, digital_presence 0.5, financial_estimate 0.5, location 0.5, management_profile 1.5, product_offering 2, strategic_signal 1.5, customer_profile 1, industry 1, technology 2, funding_detail 3 (enterprise-only), mna_and_investment 5 (enterprise-only). The two enterprise-only sections are skipped (not an error) when the caller isn't on an Enterprise plan; the returned Markdown notes any that were dropped. Prerequisite: `company` must be an akta-pro uuid from company_search (free). Names and websites are rejected.
company_data_concise	Return a condensed company overview (no section selection). akta-pro returns a slimmed JSON with the fluff redacted — much smaller than full enrichment. Intended flat cost 8 credits. Prerequisite: `company` must be an akta-pro uuid from company_search (free). Names and websites are rejected.
industry_search	Resolve a free-text industry to akta-pro industry codes. Free (0 credits). Use the returned `code` values as the `industry` filter in news_signals. Returns code, industry_name, and similarity score.
news_signals	Fetch a list of news signals by company, industry, topic, or title (JSON). Typically provide one of `company`, `industry`, `query`, or `title` to anchor the search. Cost: 0.1 credits per call + 0.01 per article. To filter by news type/topic (e.g. "only product-related news"), call news_types() first to find the matching tag code(s), then pass them as type_codes. To filter by industry/sector, resolve codes with industry_search and pass them as `industry` — don't fall back to `query` for company or industry topics. Default to the compact list (full_enrichment=False) — it's enough to read and triage results. Don't set full_enrichment=True unless the user explicitly needs every field on every article. This list never includes full article text (kept compact). Every result carries an `id`; pass those ids to `news_detail` to retrieve the complete article body for the ones you care about.
news_detail	Fetch the full article body for specific news id(s) from news_signals. Use this after news_signals when you need the complete text of particular articles — pass their `id`s here. Returns up to 10 articles with the same fields as full_enrichment plus `full_text`. Cost: 0.1 credits per call + 0.01 per article.
news_types	List the news-type taxonomy (tag codes) for filtering news_signals. Call this FIRST whenever the user wants a specific kind of news — e.g. "product-related", "M&A", "layoffs", "funding". Map their intent to the matching code(s) below, then pass them to `news_signals(type_codes=[…])`. Free, no credits. Codes are grouped by category (e.g. product launches = SD01, M&A = CM03, layoffs = WT02).
headcount_trends	LinkedIn-sourced headcount: total employees, historical growth, and breakdown by function. 2.5 credits. Subscription/Enterprise only. Prerequisite: `company` must be an akta-pro uuid from company_search (free). Names and websites are rejected.
website_traffic	Website traffic: engagement metrics, monthly visit estimates, and traffic by acquisition channel. 1.5 credits. Subscription/Enterprise only. Prerequisite: `company` must be an akta-pro uuid from company_search (free). Names and websites are rejected.
employee_reviews	Employee reviews: overall + dimension-level ratings and individual reviews (Glassdoor et al.). 1.5 credits per 50 reviews. Subscription/Enterprise only. Prerequisite: `company` must be an akta-pro uuid from company_search (free). Names and websites are rejected.
product_reviews	Product catalog and per-product reviews (G2 et al.). Call once without `products` to get the catalog + product `id`s, then again with those ids to fetch reviews. 1.5 credits per 50 reviews. Subscription/Enterprise only. Prerequisite: `company` must be an akta-pro uuid from company_search (free). Names and websites are rejected.
job_posts	Live LinkedIn/Indeed job posts: title, location, description, compensation, experience level, and key skills. 3 credits. Subscription/Enterprise only. Prerequisite: `company` must be an akta-pro uuid from company_search (free). Names and websites are rejected.
social_posts	Company social media posts: content type, text, publish date, paid/repost flags, an AI classification, and engagement metrics. 1.5 credits. Subscription/Enterprise only. Prerequisite: `company` must be an akta-pro uuid from company_search (free). Names and websites are rejected.
account_status	Report the current user's plan tier and credit balance. Free. No arguments — identity is taken from the authenticated API key. Call this when the user asks about their plan, credits, or limits, and consult it before attempting Subscription/Enterprise-only tools (headcount_trends, website_traffic, employee_reviews, product_reviews, job_posts, social_posts) or enterprise-only enrichment sections (Funding Detail, M&A and Investment) to pre-empt a 403. Returns: is_enterprise (bool), package_type (top_up \| subscription \| enterprise), credit_balance (remaining credits), currency.