Firecrawl
$19/ month
Hobby · billed monthly
- Included
- 5,000 credits / month
- Basic scraping
- 1 credit / page
- Concurrency
- 5 browsers
Firecrawl vs Jina AI: compare page capture and retrieval preparation
Firecrawl
- What it is
- A web scraping and crawling API that turns website pages into reusable content.
- Best for
- Capturing known URLs or collecting linked pages from a documentation site.
- Typical output
- Markdown, HTML and page metadata from selected URLs.
Jina AI
- What it is
- A suite of Reader, embedding and reranking APIs for turning content into searchable context.
- Best for
- URL-to-text reading via Reader, or embedding and ranking supplied text; Glasser currently supports the model APIs.
- Typical output
- Reader: page text. Glasser model APIs: embedding vectors and relevance scores.
Need both?
Paste this prompt into your agent.
set up https://glasser.ai/SKILL.md
Show me how to use Firecrawl and Jina AI together through Glasser.What can Firecrawl and Jina AI do?
| Capability | Firecrawl | Jina AI |
|---|---|---|
| Web discovery | Search the web with Jina SearchDirect API only | |
| Content retrieval | Convert URLs and PDFs to text with ReaderDirect API only | |
| Site collection | Not covered here | |
| Semantic indexing | Not covered here | |
| Relevance ranking | Not covered here |
Limits & data comparison
| Compare by | Firecrawl | Jina AI |
|---|---|---|
| Limits | Hobby: 5 concurrent browsers Direct Hobby allows 100 scrape requests/min; crawl submissions have a separate 20/min limit. | Embeddings v3: 8,192-token model context Glasser’s late-chunking operation shares that context across supplied texts; split larger corpora into batches. |
| Data fields | Markdown, HTML and page metadata Direct APIs also offer optional JSON and screenshots; the selected Glasser scrape is basic content capture. | Reader text; embedding vectors; relevance scores Reader takes a URL. Embeddings and Rerank take supplied content and do not fetch that URL for you. |
| Collection & context controls | Known URLs, site paths and crawl depth Collect a site corpus; use cache controls when freshness matters. | Model, task and relevance inputs The selected Glasser embedding operation fixes v3 and late_chunking=true; use Rerank for query-based ordering. |
| Execution & Reliability | Direct scrape is synchronous; crawl is asynchronous Scrape timeout is configurable; monitor crawl status and page errors before treating a corpus as complete. | Selected model APIs return in the request Oversized shared-context inputs are rejected. Set a client deadline and handle token/rate-limit errors before retrying. |
| Glasser access | Basic Scrape, Search, Crawl and Map The selected Glasser scrape produces Markdown/HTML; advanced formats need a supporting operation. | Embeddings and Rerank through Glasser Reader and Search are product capabilities with separate access; they are not currently connected to Glasser. |
Firecrawl vs Jina AI pricing
Jina AI
$50initial top-up
Prototype token package
- Included
- 1 billion tokens
- Embeddings v3
- $0.05 / million input tokens
- Billing
- Prepaid; unused tokens remain
Task-based cost example
Firecrawl: 1,000 successful basic page scrapes + Jina AI: 1,000 embeddings-v3 calls within the shared 8,192-token context
| Task volume | Direct: entry spend | Glasser: task charges |
|---|---|---|
| Firecrawl: 1,000 successful basic page scrapes | $19.00Hobby monthly plan · 5,000 credits | $1.071,000 × $0.001071 |
| Jina AI: 1,000 embeddings-v3 calls within the shared 8,192-token context | $50.00$50 token purchase; unused tokens remain | Up to $0.41Upper bound: 1,000 × $0.000410 published per-call cap |
| Entry spend / task charges | $69.00 | Up to $1.48 |
Inputs and outputs
Firecrawl
- InputA public URL or site root
- OperationScrape or crawl
- OutputMarkdown / HTML and page metadata
Jina AI
- InputSupplied text within the model context
- OperationEmbed with v3 and late chunking
- OutputOne embedding vector per input
Still unsure? Choose based on your task
Capture a reusable page corpus
Use Firecrawl to turn known URLs or linked documentation pages into Markdown and HTML.
Index or rank text you already have
Use the Jina model APIs on Glasser to embed supplied text or reorder candidate passages for a query.
Build a searchable documentation collection
Capture pages with Firecrawl, split them to fit the model context, then use Jina embeddings to prepare vectors for your own search index.
Why Use Firecrawl and Jina AI Through Glasser?
One API Key
Access both providers with one Glasser key.
One Balance
Use one shared balance for both providers.
Pay as You Go
Pay per use, with no Glasser subscription.
Agent-Ready Integration
Connect your agent via Skill, MCP or CLI.
Questions before you choose
Can I use Jina Reader through Glasser?
Glasser currently connects Jina Embeddings and Rerank. Jina Reader and Search remain separate product capabilities. Use Firecrawl on Glasser for page capture, then send the resulting text to a supported Jina model operation.
Does an embedding API scrape a URL or store my index?
No. The selected Jina endpoint expects supplied text and returns vectors. Firecrawl can capture the page first; your application still manages chunking, storage and retrieval. Rerank scores candidate documents you supply.
Can I use Firecrawl and Jina AI together in one AI agent?
Yes, for their connected operations. Use Firecrawl to capture documentation, split the text to fit the shared model context, then use Jina Embeddings v3 to prepare vectors. Jina Reader is not connected to Glasser. Your agent coordinates the requests using one Glasser key and shared balance.
Can my agent automatically choose between Firecrawl and Jina AI?
A tool-using agent can discover endpoints, inspect their inputs and prices, and select an operation for your task. Specify whether you need page capture, embedding vectors or relevance scores. Ask for approval before paid calls; Glasser does not make that routing decision for the agent.
How do I control API spending through Glasser?
Search and Inspect are free. Ask your agent to estimate the planned batch, inspect the charge rules and wait for approval before running it. Keep batches small and review final charges; failures can be billable under the endpoint’s rules. The comparison excludes free allowances and does not promise lower unit prices.
Can I use Glasser with Claude Code, Codex and ChatGPT?
Use the Glasser Skill and CLI with local coding agents such as Claude Code or Codex. ChatGPT can connect through the Glasser MCP integration. Follow the setup guide for your client, then inspect the selected operation before making a paid call.