Akta

@akta find 50 B2B SaaS companies in the US with 50-200 employees, Series A funded, and growing headcount over the last 6 months

Akta returned a list of 50 companies matching your criteria. The results include company names, domains, employee counts, funding stages, and recent headcount trends. For example: Acme Analytics (acme.io, 87 employees, +12% headcount growth), BetaCRM (betacrm.com, 134 employees, +8% growth), and 48 others. Each entry shows current workforce size and the percentage change since 6 months ago. This illustrative output reflects the structured filters Akta built from your natural-language query—actual results depend on Akta's live database and your account's credit balance.

This example showcases Akta's core list-generation capability, translating conversational criteria into precise filters. The call consumes credits per company returned (cost scales with result size and enrichment depth). Verify your account's credit balance with Get Account Status before running large queries, and note that some filter combinations may return fewer matches than requested if the market segment is narrow.

@akta get detailed funding history, M&A activity, and product reviews for stripe.com

Akta retrieved enrichment data for Stripe. Funding detail shows $2.2B raised across 15 rounds (Series A through Series I), with the most recent round in March 2023 at a $50B valuation. M&A activity includes 8 acquisitions since 2018, notably Paystack (2020) and TaxJar (2021). Product reviews cover Stripe Payments (4.6/5 avg, 1,200+ reviews) and Stripe Billing (4.4/5, 340 reviews); top feedback themes include ease of integration and occasional webhook delays. This illustrative response combines multiple enrichment sections—actual output structure is JSON or Markdown depending on your request format.

This example demonstrates Akta's deep-data enrichment tools, which consume credits per section requested. The funding_detail and mna_and_investment sections require an Enterprise account; pay-as-you-go users will receive an error if they request these. Product reviews are available on all tiers but add to the credit cost. Use this for competitive research or due diligence when you need more than basic firmographics.

@akta analyze headcount trends for the top 10 fastest-growing fintech companies in our saved list and draft a market insight summary

Akta returned headcount data for 10 companies: average growth is +34% over the past 12 months, with engineering roles growing fastest (+42% avg) and sales/marketing at +28%. Three companies (Plaid, Ramp, Brex) show accelerated hiring in Q1 2024. Two (Chime, Affirm) have plateaued after layoffs in late 2023. The AI synthesized this into a brief: 'Fintech hiring rebounded sharply in early 2024, driven by product-team expansion as companies race to ship AI-powered features. Sales growth lags engineering, suggesting a shift toward product-led growth strategies.' This illustrative output pairs Akta's structured workforce data with the AI's reasoning—actual trends depend on the companies in your list.

This example shows how Akta's headcount-trend tool feeds the AI's analytical capabilities, turning raw workforce data into strategic insight. Each company's headcount history consumes credits, so batch requests for 10+ companies add up quickly. The AI's synthesis is only as good as the data Akta returns; if a company's headcount is stale or incomplete, the summary will reflect that gap. Best used when you need a narrative around hiring patterns, not just raw numbers.

When Akta beats manual ICP research for 2-person sales teams

A two-person sales team selling dev tools needs 50 qualified accounts each Monday. Build Company Filters translates "Series A SaaS companies hiring 3+ engineers in the last quarter" into reusable structured filters, then Generate Company List pulls the matches in under a minute. The headcount-trends and traffic tools confirm signal before the SDR emails. This works when your ICP maps cleanly to firmographic + hiring patterns; if you need intent data from G2 reviews or funding announcements, add Get Company Product Reviews or enrichment calls, but watch the credit burn—each enriched record costs more than the base list. If you're running 200+ accounts per week, the credit math favors an Enterprise seat.

Akta as the first-pass filter before partner review

A 3-person early-stage fund sees 80 inbound decks a month and needs to triage fast. Get Company Enrichment pulls funding history, headcount trajectory, and product-review sentiment in one call; the associate tags 15 as partner-ready in 90 minutes instead of a day. The workflow breaks down if your thesis depends on proprietary network intel or market-map positioning that Akta doesn't index—use this for the quantitative screen, not the qualitative edge. Check Get Account Status before you start; pay-as-you-go credits disappear quickly when you enrich 80 companies with full funding detail, and the mna_and_investment section requires Enterprise anyway. If half your pipeline comes from warm intros where you already know the numbers, skip Akta and save the budget.

When 19 tools are overkill and you need one snapshot

A 6-person product team wants to size the TAM for a compliance feature aimed at fintech companies with 50–200 employees. Build Company Filters into Generate Company List returns the count and sample in one session; Get Company Website Traffic on 10 sample companies confirms they have enough inbound volume to care about compliance automation. This is a once-per-quarter exercise, not a daily workflow, so pay-as-you-go makes sense—run the query, export the list, cancel the credits. Akta is the wrong call if you need historical trend data beyond the monthly snapshots in headcount and traffic tools, or if your sizing depends on revenue estimates Akta doesn't surface. For a one-time roadmap decision, the credit cost is cheaper than a data vendor annual contract.