dataspaceGENE-WebAccess nameGENE-WebAccess skuGENE-WEBACCESS userFeluda.ai team version1.0.0

GENE-WebAccess

Name: GENE-WebAccess
Brand: Feluda.ai
SKU: GENE-WEBACCESS
Price: 10.00 EUR
Availability: InStock

Activated by 1 users

Allows your (local) AI assistant to access the web

GENE-WebAccess gives AI assistants a reliable way to access web content through controlled HTTP retrieval.

1000 credits

SKU: GENE-WEBACCESS

Created: 2026-05-04 19:18:51.260497 +0000 UTC

GENE-WebAccess Helps AI Assistants Access the Web Reliably

GENE-WebAccess gives AI assistants a reliable way to access web content through controlled HTTP retrieval. Instead of pulling huge responses into a single model call, assistants can fetch once, store the result, and read it in clean chunks. That keeps web access practical, predictable, and cost-aware inside Feluda.

Why This Gene Is Valuable

Many assistants struggle with web access when pages are large, inconsistent, or expensive to process in one pass. GENE-WebAccess solves this with a simple model: access page content, store it, and consume it in slices. Assistants get a stable reference ID first, then read only the exact character ranges they need.

Benefit	What It Means in Practice
Lower token use	Start with an ID and status code, then read only the needed chunks.
Predictable retrieval	A stored snapshot prevents shifting output while the assistant is still analyzing content.
Cleaner raw output	Optional cleanup settings can remove CSS, scripts, header, and footer sections from raw HTML.
Flow-friendly design	The action model is simple, so it fits naturally into Feluda Flows and chained automations.

Tool Coverage in This Gene

This gene currently provides 1 dedicated tool focused on web retrieval and chunked reading.

Tool	Purpose	Supported Actions
`webAccessTool`	Fetches web content, stores it, and serves chunked reads from stored results.	`fetch`, `read_chunk`

How Assistants Access Web Content with This Gene

The workflow is straightforward and built for long pages, research tasks, and multi-step analysis.

Step	Action	Result
1	Call `action=fetch` with a URL.	Returns `result_id` and HTTP `status_code`.
2	Call `action=read_chunk` with `result_id`, `start`, and `length`.	Returns chunk text plus helpers like `next_start`, `total_chars`, and `has_more`.
3	Repeat `read_chunk` while `has_more=true`.	Assistant reads the full page in controlled segments.

Important Behavior Notes

This tool performs static HTTP GET retrieval. It does not run browser JavaScript, does not render a live DOM, and does not perform interactive browser actions. That makes it reliable for static content and API-like pages, while JS-heavy app shells can return partial content.

Using GENE-WebAccess in Feluda Flows

In a flow, one step can fetch and store content, while downstream steps read and analyze chunks. This pattern supports summarization, extraction, classification, and compliance checks without forcing one oversized model call.

Who This Gene Helps Most

GENE-WebAccess is ideal for teams that want assistants to access web pages in a controlled way, reduce token burn, and move cleanly from web retrieval to extraction, summarization, and decision steps in Feluda.