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20% Off Off DumplingAI - Hand-verified and active for July 2026

Free Trial: Starting at $40/mo
Updated: June 11, 2026

DumplingAI in Action: The Data Layer Your AI Agents Actually Need

DumplingAI is a unified data API platform built for developers, automation operators, and AI agent builders who are tired of managing five separate vendor subscriptions just to get clean web data into their workflows.

Instead of paying for a search API, a scraping tool, a YouTube transcript service, a LinkedIn enrichment provider, and a Google Reviews extractor separately, DumplingAI puts all 50+ data capabilities behind one API key, one balance, and one bill.

It works natively with Claude Code, Cursor, Codex, Make.com, n8n, and any HTTP-based automation stack — making it one of the most practical data layers available for AI-first teams in 2026.

Key Capabilities

DumplingAI covers six core data job categories from a single endpoint. The Search suite handles web search, news, Google Maps, and autocomplete lookups through smart routing across Serper, Perplexity, and DataForSEO — you pick the provider or let DumplingAI route automatically.

The Scraping suite fetches clean markdown or HTML from static pages, JavaScript-rendered apps, and full multi-page crawls using Firecrawl, SpiderCloud, and native routes. The Documents suite turns PDFs and files into clean text or structured JSON using schema-based extraction.

The Social Data suite pulls YouTube transcripts, video metadata, TikTok transcripts, LinkedIn company and profile data, and Google Reviews through the same auth layer.

The Enrichment suite verifies emails, enriches domains, and pulls company context via Hunter or the unified catalog. And the Media and Automation suite handles screenshots, browser-capable crawl jobs, and JavaScript/TypeScript code execution — all in one stack.

For teams who need provider-specific behavior, DumplingAI supports native endpoint pinning (e.g., `firecrawl.scrape`, `serper.search`, `perplexity.search`) alongside broad capabilities, giving you exact upstream control without losing centralized logging and spend visibility.

Who Gets the Most Out of It

AI agent builders using Claude Code, Cursor, or Codex get immediate value from DumplingAI's MCP Server integration — connect via `https://mcp.dumplingai.com/mcp/v2` in one line with OAuth, no API key required, and your agent instantly gains access to the full data catalog.

Automation operators running n8n or Make.com workflows use DumplingAI as a structured data source for lead enrichment, competitor monitoring, content repurposing, and customer review analysis — piping clean JSON directly into GPT-4 or Claude for downstream summarization and scoring.

Developers building data-intensive SaaS products benefit from the unified billing, rate-limit controls, and per-request cost transparency that replace the chaos of managing multiple vendor minimums.

Is It Worth It?

At $40/month billed annually for the Starter plan (1.2 million credits/year), DumplingAI is cost-effective for small automation teams running moderate workloads — particularly when you factor in the subscriptions it replaces.

The Pro plan at $124/month gives 4.2 million credits/year at 60 requests per minute, which covers most production-level agent workflows.

The main caveat is credit consumption: high-cost endpoints like structured document extraction and LinkedIn profile enrichment burn credits faster than basic search or scrape operations, so teams running large batches need to model their credit spend carefully before committing to a plan. For teams already paying for three or more separate data vendor subscriptions, the consolidation ROI is immediate.

Pros
  • One API key and one balance replace 4–5 separate vendor subscriptions for search, scraping, transcripts, enrichment, and social data
  • MCP Server integration lets Claude Code, Cursor, and Codex agents call real-time web data in one line with OAuth — no API key setup needed
  • Smart routing automatically selects the best provider per capability, improving success rates without any manual configuration
  • Per-request cost and latency logging gives full spend visibility for every agent call — essential for production cost modeling
  • Only charges for successful requests — failed API calls never consume credits
  • Credit Packs never expire and cover usage spikes without forcing permanent plan upgrades
  • Native Make.com, n8n, and Zapier support makes it immediately usable in no-code automation stacks
Cons
  • ×No permanent free plan — only a free trial before requiring a paid subscription
  • ×High-credit endpoints like structured document extraction and LinkedIn enrichment can drain credits quickly on the Starter plan without careful workflow design
  • ×Rate limits are relatively low on Starter (30 req/min) and may bottleneck high-frequency agent workflows needing real-time data at scale
  • ×Credits do not roll over month-to-month on subscription plans — unused credits are lost at the end of each billing cycle
  • ×Platform is developer and automation-operator focused — non-technical users without API or no-code tool experience will face a steep setup curve
Starter ($40/mo billed annually)1,200,000 credits per year, 30 requests per minute, access to all 50+ data capabilities, one API key and one balance, MCP Server access, CLI access, Make.com and n8n integration, basic support, auto recharge and credit packs available.
Pro ($124/mo billed annually)4,200,000 credits per year, 60 requests per minute, access to all 50+ data capabilities, one API key and one balance, MCP Server access, CLI access, Make.com and n8n integration, standard support, auto recharge and credit packs available.
Business ($249/mo billed annually)9,600,000 credits per year, 120 requests per minute, access to all 50+ data capabilities, one API key and one balance, MCP Server access, CLI access, Make.com and n8n integration, priority support, auto recharge and credit packs available.
Enterprise (Custom)Volume plans above Business tier available on request via [email protected] — custom credit allocations, higher rate limits, dedicated support, and SLA options for high-volume production agent deployments.

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