- SPECIMEN
MIAPI
- FILED AS
Add Web-Grounded AI Answers to Your App for $9 a Month
- INTAKE DATE
- 2026-06-07
- CLASS
- Analytics
- METHOD
- desk research, filed before the Lab logged its counts
No dimension scores were recorded for this specimen, so no Koda Score is published. Read the verdict instead.
A developer-focused API that returns AI-generated answers grounded in real-time web research, complete with source citations. Supports Python, JavaScript, and cURL with streamed responses via server-sent events.
Open MIAPI
The verdict.
MIAPI is built for developers who need web-grounded AI answers without standing up their own search and retrieval infrastructure. If you are building a research assistant, a customer support bot, or augmenting a RAG pipeline with live web data, this is a genuinely low-friction starting point at a price that is hard to argue with. The free tier lets you validate the concept before committing, and the Pro plan at $10/month is cheap enough to prototype seriously. The main question is whether the depth of web grounding and answer quality hold up under production workloads, and whether the sparse documentation and limited integrations will slow you down.
Pricing, straight.
Note: The headline says "$9/month" but the actual Pro tier is listed at $10/month on their site. Plan accordingly.
- Basic features
- Limited access
Good for testing the API and validating your use case before committing.
- All features included
- Priority support
The sweet spot for indie developers and small teams shipping production features.
- Custom solutions
- Dedicated support
For teams that need SLAs, higher rate limits, or custom configurations.
Pricing as captured on 2026-06-07. Check the live site before you commit.
One thing worth noting: the pricing page is vague about rate limits and request caps on each tier. "Basic features" and "Limited access" on the Free plan do not tell you how many queries you actually get. Ask before you build around it.
What it actually does.
Real-Time Web Grounding
Answers are generated from live web research, not a static knowledge cutoff. This is the core value proposition. Every response pulls from current web sources and includes citations so you can verify claims.
Source Citations Included
Every answer comes with URLs pointing to the sources used. This is critical for building trust in user-facing applications and for debugging answer quality in your pipeline.
Server-Sent Events Streaming
Responses stream via SSE, which means your UI can render tokens as they arrive. This is table stakes for modern AI integrations, and MIAPI handles it natively rather than forcing you to poll.
Multi-Language SDK Support
Works with Python, JavaScript, and cURL out of the box. No proprietary SDK required. If you can make an HTTP request, you can use MIAPI.
Low-Latency Integration
The SSE streaming approach means time-to-first-token is optimized. For chat interfaces and interactive tools, this matters more than total response time.
RAG Pipeline Compatible
Designed to slot into retrieval-augmented generation workflows. Use MIAPI as the web retrieval layer and combine it with your own vector store or domain-specific data.
Who it is for.
Research Assistant Builders
If you are building a tool that needs to answer questions with current, cited information, MIAPI handles the hard part: searching the web, synthesizing results, and returning structured answers with sources. You focus on the UX.
Customer Support Teams
Bots that need to reference current documentation, pricing pages, or policy updates benefit from web-grounded answers. MIAPI can supplement your knowledge base with live web lookups when internal docs fall short.
Indie Developers and Solo Builders
Running your own search infrastructure (Serper, SerpAPI, Bing API, plus an LLM, plus a citation pipeline) is expensive and complex. MIAPI bundles all of that into a single API call at $10/month. That is a meaningful shortcut.
RAG Pipeline Engineers
If your retrieval-augmented generation system needs a web search fallback for queries outside your vector store, MIAPI can serve as that layer. Plug it in as a secondary retriever when your internal corpus has no relevant hits.
The honest part.
- Vague pricing tiers. The Free plan says "Basic features" and "Limited access" without specifying request counts, rate limits, or token caps. The Pro plan says "All features" with no detail on what that includes beyond the Free tier. This is a red flag for anyone trying to estimate costs at scale. You will need to contact them or test empirically.
- English only. The platform currently supports only English. If your users or data sources are multilingual, this is a hard blocker. No timeline has been shared for additional language support.
- No mobile app. This is an API-first product, so the lack of a mobile app is not surprising. But there is also no dashboard or playground for testing queries interactively, which would help during development.
- Limited third-party integrations. The structured data mentions Slack, Google Workspace, Trello, and Zapier integrations, but the actual API product seems focused on raw HTTP endpoints. It is unclear how deep these integrations go or whether they are pre-built connectors or just "you can use Zapier to call our API." Clarify before depending on them.
- Minimal branding and documentation signals. The website is extremely minimal. The tagline is literally "The tool for your needs," which suggests the product is early-stage. Documentation depth, uptime guarantees, and community support are all unknowns. This is fine for prototyping but gives pause for production deployments.
- No visibility into the underlying model or search engine. MIAPI does not disclose which LLM powers the answers or which search index it queries. This makes it difficult to evaluate answer quality, bias, or reliability compared to alternatives like Perplexity's API, You.com's API, or Tavily.
Open web-grounded AI answers
Start with the free tier to test answer quality and latency. If it fits your workflow, $10/month is a low bar for production use.