AI Tools
Best AI Agents (2026)
Verified deals on the ai agents tools real teams actually use.
Top AI Agents deals
Runpod
GPU cloud for AI builders — H100s from $2.89/hr, per-second billing, serverless and persistent Pods across 30+ regions.
Fyxer AI
AI email assistant for Gmail & Outlook that triages your inbox, drafts replies in your own tone, and writes your meeting notes — saving most users about an hour a day.
Aira
AI sales-intelligence agent covering 65M European companies and 140M decision-makers — real-time alerts, meeting briefs, and CRM sync.
Sudowrite
Sudowrite is the AI writing partner built for fiction — novelists, screenwriters, and story authors get the Muse model, Story Bible canvas, and 30+ language support across plans from $10/mo. New users save up to 50% on annual billing plus a $200 partner credit via SaaSTweaks.
Bright Data
Bright Data residential proxies — Starter at $499/mo (141 GB, $3.50/GB), Advanced at $999/mo (332 GB, $3/GB), and PAYG at $4/GB. 150M+ IPs, MCP for AI agents.
Vectara GenAI Platform
Vectara is a managed RAG-as-a-service platform — ingest documents, query with grounded LLM answers and build enterprise search or AI chat without managing vector infrastructure.
Claap
AI meeting recorder and revenue intelligence for sales teams — captures calls, emails and in-person meetings, then feeds the whole sales context to your own AI agents through a hosted MCP server.
Freshservice
Cloud ITSM done right — IT helpdesk, asset management, and ITIL workflows that are far easier (and cheaper) than ServiceNow.
Genspark
Genspark is an AI workspace combining a Mixture-of-Agents search engine, Sparkpages (shareable AI-generated research briefs) and a Super Agent that autonomously completes multi-step web tasks.
Emergent
Vibe-code full-stack web and mobile apps from a natural-language prompt — YC-backed, with a free tier and a credit-based Pro plan.
All AI Agents side-by-side
31 deals in AI Agents
| Tool | Starts at | Highlights | Savings | Action |
|---|---|---|---|---|
| | — |
| Sign up free and pay only for what you use — no commitments | View deal |
| | — |
| 7-day free trial · 25% off annual billing | View deal |
| | — |
| 14-day free trial, no card required | View deal |
| | — |
| Up to 50% off annual + $200 partner credit | View deal |
| | — |
| 20% off first month + $5 free trial credit | View deal |
| | — |
| Up to $5K platform credits & discounts | View deal |
| | $24/mo |
| Free forever plan + 20% off annual — Pro from €24/license/mo | View deal |
| | — |
| Free trial; paid from ~$19/agent/mo | View deal |
| | — |
| Verified founder access via SaaSTweaks | View deal |
| | — |
| 10 free monthly credits + signup bonus via partner link | View deal |
| | — |
| 15% CASHBACK | View deal |
| | $29/mo |
| Free plan available | View deal |
| | — |
| Starter from $59/seat (annual) — multi-channel B2B support in one inbox | View deal |
| | — |
| 20% CASHBACK | View deal |
| | — |
| — | View deal |
| | — |
| — | View deal |
| | $29/mo |
| — | View deal |
| | — |
| — | View deal |
| | — |
| $10 starter credit on every new account | View deal |
| | — |
| Free trial via partner link — pricing custom per use case | View deal |
| | — |
| 20% off for 6 months | View deal |
| | — |
| — | View deal |
| | $49/mo |
| 10k free words | View deal |
| | — |
| Custom pricing; demo available | View deal |
| | — |
| — | View deal |
| | — |
| — | View deal |
| | — |
| — | View deal |
| | — |
| Free trial via partner link | View deal |
| | — |
| Credits and discounted access to LangSmith + LangGraph | View deal |
| | — |
| LlamaCloud credits for qualifying AI startups building RAG and agentic apps | View deal |
| | — |
| $5,000 in credits | View deal |
No deals match the current filters.
AI agents are autonomous systems that plan, call tools, and execute multi-step tasks — web research, data extraction, form submission, calendar scheduling, and back-office workflow automation — without human intervention at each step. They wrap a planner, persistent memory, and tool router around a foundation model.
Buyers are operations teams and engineering teams replacing repetitive workflows. Reliability on long-horizon tasks, observability into individual decision steps, and cost per completed task — not per token — are the metrics that determine production viability.
Compare on real-task success rate outside curated demos, step-level observability and trace quality, human-in-the-loop gate controls for high-stakes actions, and total cost per outcome at your target workflow volume.
How to choose
- 01
Real-task reliability
Measure completed-task rate on your actual workflows, not curated vendor benchmarks. A 70 percent success rate sounds acceptable until you account for the cost of every failure cascading into manual rework or data corruption. Pilot on real tasks before signing any annual commitment. - 02
Tool and integration coverage
The agent is only as useful as the tools it can reliably call. Check native integrations with your CRM, browser, email, calendar, code environment, and internal APIs. Bespoke tool wiring via MCP or custom adapters is where most agent projects burn engineering budget unexpectedly. - 03
Step-level observability and traces
You need step-level execution traces, tool-call logs, decision rationales, and replayable runs to debug failures in production. Black-box agents that only report final outcomes are practically unfixable when they fail on non-trivial edge cases. - 04
Human-in-the-loop controls
For high-stakes actions — sending communications, executing payments, permanent deletions, external data sharing — the platform must support configurable approval gates and rollback mechanisms. Fully autonomous high-stakes agents are typically a liability rather than a feature. - 05
Cost per completed task
Agents burn tokens through planning loops, intermediate reasoning steps, retries on failures, and multi-tool calls. Calculate cost per completed task, not cost per LLM call — the cheapest per-token vendor is frequently the most expensive per successful outcome at production volume.
Pricing reality
Hobbyist agent platforms start at £15–35 per month with strict run caps and limited tool integrations. Operations teams running daily automations across multiple workflows land between £150–600 per month once tool integrations and orchestration overhead stack. Enterprise deployments with SLAs, full observability, and governance controls reach £1500–8000 per month and scale with run volume and tool-call frequency.
Common pitfalls
- Believing demo videos and skipping a real-workflow pilot before signing annual contracts.
- Underestimating edge-case frequency — the long tail of workflow exceptions eats agent reliability alive in production.
- Shipping agents without step-level observability and discovering you cannot debug failures in a live environment.
- Calculating cost per LLM token instead of cost per completed workflow and receiving a bill that bears no resemblance to the estimate.