[ USE CASE / AI & DATA PIPELINES ]

Fresh web data. Ready for your pipeline.

Q: Does LUDAX parse or structure the returned data?

No. You receive the response exactly as the source returned it. Parsing, field extraction, validation, normalisation, deduplication, embedding and storage all happen in your own pipeline — LUDAX supplies the location, the session and the network path.

Q: Which product fits an AI or RAG pipeline?

For open public sources standard Residential is enough. Sources that render content in JavaScript, or that inspect the TLS handshake, are the case for Residential TLS; sources that reject ordinary exits are the case for the screened premium pool. All of them share credentials and parameter syntax, so a worker can switch by changing one parameter.

Q: When should a pipeline use sticky sessions?

Whenever one logical document needs several requests: pagination, search then result, filter then listing, or a multi-step flow. Hold one sticky session for that sequence. Independent single-page fetches should rotate instead, so no single exit carries the whole run.

Q: How should I estimate traffic for a corpus refresh?

Multiply source domains by pages per source by runs per month by the average response weight, then add about 15% for retries and rendered loads. Measure the weight on a real sample first — a rendered page with imagery can be ten times a text-only response. The estimator above does the arithmetic.

Q: Can traffic originate from specific countries or cities?

Yes. Country, city and ASN targeting are available as gateway parameters, across 181 countries. Where a city has no capacity the request resolves at country level — record that fallback with the document rather than discarding it.

Q: Does LUDAX host models, vector databases or datasets?

No. LUDAX is a proxy network: exits, locations, sessions and the network path. There are no hosted models, no vector store, no dataset licensing and no managed scraping service. Nor does the network path make any content licensed for training — that is decided by the source and applicable law.

Give AI agents, RAG systems and data workflows reliable access to public web sources across locations — through rotating residential IPs, stable sessions and browser-aligned TLS when the source requires it.

LUDAX handles the network path. Your stack controls extraction, validation, storage and inference.

$0.99/ 1 GBRESIDENTIAL · PREPAID · $0.49 / GB AT 1 TB

Buy the smallest amount of traffic, run one source set through the pipeline, then size the month from the response weight and retry rate you actually measured. Plans are valid for 30 days from activation.

Start with 1 GB Explore proxy plans

137 COUNTRIES
ROTATING AND STICKY SESSIONS
BROWSER-ALIGNED TLS
METERED TO THE KILOBYTE

LIVE INGESTION PIPELINE run dp-2841 RUNNING T+00:00 0 WORKERS

WORKLOAD REGION STRATEGY EXIT QUEUE

01FETCH0

02VALIDATE0

03NORMALIZE0

04QUEUE0

05DELIVER0

ILLUSTRATIVE LIVE SIMULATION — NO CUSTOMER DATA OR TRAFFIC SHOWN

INGESTED / MIN0

DELIVERED ITEMS0

ACTIVE REGIONS0

QUEUE DEPTH0

TRANSFERRED0MB

MEDIAN FETCH LATENCY0ms

Example events demonstrate how proxy traffic can feed a customer-owned pipeline. LUDAX does not parse, store, vectorize or process the returned content. Every document id, source type, location, size, status and figure in this panel is generated on the page as an illustration — not measured results and not customer traffic.

[ 01 / PIPELINES BREAK AT THE EDGE ]

The model is downstream. Access fails first.

Before web data reaches a parser, vector store or model, the source has already decided what to return based on geography, IP reputation, session history and request behavior. Everything your stack does afterwards is arithmetic on whatever arrived.

ONE SOURCE SET · ONE SCHEDULE · 4 REGIONS3 WAYS THE INGEST BENDS

01GEOGRAPHIC INCONSISTENCY

The same URL, different content

The same URL can return different availability, language, pricing or content depending on where the request originates — so a corpus built from one region is a corpus about one region.

SAME URL · FIELDS PRESENT PER REGIONΔ 35%

02ACCESS INSTABILITY

A scheduled run, an incomplete set

Rate limits, blocks and CAPTCHAs turn a scheduled pipeline into an incomplete dataset — and the gap is invisible downstream, because a missing document looks exactly like a document that never existed.

RETRIED OR LOST IN ONE RUN9%

03BROWSER-DEPENDENT RESPONSES

The payload arrives after the render

Some sources require JavaScript rendering or inspect the TLS handshake before returning usable content, so a plain fetch stores a shell document that passes every downstream check.

TEXT NODES PRESENT AFTER RENDER0 → 1

[ THE POINT ]A clean downstream pipeline cannot repair data that never arrived.

[ 02 / WHAT YOU CAN POWER ]

One network layer. Multiple data workloads.

The mechanic is the same in all six: read an approved public source from the right location, on a schedule your system controls, and hand the raw response back. What differs is the cadence, the region mix and what your own stack does with the bytes.

W01DOCUMENT REFRESH AGE

RAG corpus refresh

Keep retrieval corpora current by revisiting approved public sources on a controlled schedule.

CORPUS BY AGE OF LAST FETCH

< 24 H64%

1 – 7 D27%

8 – 30 D9%

INPUT · SCHEDULED, DAILY OR WEEKLYNETWORK LAYER ONLY

W02RETRIEVAL QUEUE

AI agent retrieval

Give agents location-aware access to public pages during research and task execution.

AGENT FETCH QUEUE

search-result · USFETCHING

destination-page · EUQUEUED

availability · APACDELIVERED

INPUT · ON DEMAND, IRREGULARNETWORK LAYER ONLY

W03ENRICHMENT COVERAGE

Data enrichment

Add public web context to customer-owned company, product or market datasets.

RECORDS WITH PUBLIC CONTEXT FOUND

COMPANY81%

PRODUCT63%

LOCATION44%

INPUT · BATCH, PER DATASETYOUR RECORDS, YOUR STORE

W04EVALUATION SAMPLE MATRIX

Model evaluation sets

Collect repeatable geographic samples for testing retrieval and model behavior.

SAMPLE GRID · 4 REGIONS × 8 SOURCES

INPUT · FROZEN SAMPLE, REPEATEDNETWORK LAYER ONLY

W05CATALOGUE UPDATE VOLUME

Catalogue and inventory feeds

Refresh public product, availability and marketplace information across regions.

PAGES REFRESHED PER RUN

INPUT · RECURRING, PER REGIONNETWORK LAYER ONLY

W06PIPELINE FRESHNESS

Monitoring pipelines

Repeat a fixed source sample to detect changes, outages or missing records.

SOURCE SAMPLE COMPLETE, LAST 4 RUNS

R1 96%R2 91%R3 98%R4 95%

PROCESSING · CONTINUOUSYOUR DIFF, YOUR ALERTS

Every panel above is an illustrative shape, not a measured result. In all six cases LUDAX supplies the exit, the location and the session; the parsing, validation, diffing and storage that turn responses into a dataset stay in your own tooling.

[ 03 / FROM SOURCE TO YOUR STACK ]

A reliable path into the tools you already use.

One continuous path, with one hard boundary in it. Five stages happen on the network layer; everything after the response lands is yours, which is also why nothing about your data model has to change to adopt it.

LUDAX NETWORK LAYERSTAGES 01 — 05

01DEFINE

Define targets

Your system chooses the source, location, request type and refresh schedule — the target list lives in your pipeline, not ours.

INPUT · YOUR SOURCE LIST

02ROUTE

Route locally

LUDAX provides a residential exit in the requested market, addressed by country, city or ASN as a gateway parameter.

LUDAX · EXIT SELECTION

03SESSION

Hold or rotate

Keep a sticky session for multi-step sources, or rotate between independent fetches so no single exit carries the whole run.

LUDAX · SESSION CONTROL

04ALIGN

Align the request

Use browser-aligned TLS when the source inspects the handshake or requires a browser-like connection.

LUDAX · TLS PROFILE

05RETURN

Return the response

The response goes back to the customer's collector exactly as the source returned it. Nothing is read, cached or transformed on the way.

LUDAX · RAW RESPONSE OUT

LUDAX NETWORK LAYER YOUR DATA & AI STACK

The boundary is the response. Bytes cross it; interpretation does not.

06PROCESS

Process in your stack

Customer-owned tools parse, validate, normalize, store, embed and analyze the data — your parser, your schema, your vector store, your model, your retention rules.

YOURS · PARSE · VALIDATE · NORMALIZE · STORE · EMBED · ANALYZE

PLATFORM CAPABILITIES USED

COUNTRY, CITY AND ASN TARGETING
ROTATING RESIDENTIAL EXITS
STICKY SESSIONS
HTTP AND SOCKS5 GATEWAYS
BROWSER-ALIGNED TLS
TRAFFIC METERED TO THE KILOBYTE

NOT PROVIDED BY LUDAX

SCRAPING LOGIC
PARSING
DATA CLEANING
STORAGE
VECTORIZATION
MODEL TRAINING
AI INFERENCE

Gateway: gw.ludaxproxy.com:7777 (Residential · HTTP and HTTPS)
Parameters: Appended to the password: -session-, -time-, -country-, -state-, -city-
Processing: Yours. LUDAX supplies the location, the session and the network path; extraction, validation, storage and inference stay in your tooling.

ingest_worker.py

import requests, datetime

USER, PASS = "YOUR_USERNAME", "YOUR_PASSWORD"

def exit_for(country, city=None, session=None, profile=None):
    pw = f"{PASS}-country-{country}"
    if city:    pw += f"-city-{city}"
    if session: pw += f"-session-{session}-time-10"
    if profile: pw += f"-profile-{profile}"
    url = f"http://{USER}:{pw}@gw.ludaxproxy.com:7777"
    return {"http": url, "https": url}

# sticky session for a paginated source, rotation for single fetches
p = exit_for("de", city="berlin", session="dp-docs-01", profile="chrome145")
r = requests.get("https://example-source.de/docs/getting-started", proxies=p, timeout=30)

# everything below this line is your pipeline, not ours
doc = {"url": r.url, "status": r.status_code, "bytes": len(r.content),
       "fetched_at": datetime.datetime.utcnow().isoformat() + "Z",
       "country": "de", "raw": r.text}

Full parameter reference in the documentation

[ 04 / PIPELINE PROFILES ]

Three ways web traffic enters a data system.

The network mechanics do not change between these; the shape of the workload does — how many sources, how often, how long a session has to live and how the traffic arrives across a month. Select a profile to see the architecture it implies.

[ FAQ ]

AI & data pipelines FAQ

01Does LUDAX parse or structure the returned data?

No. You receive the response exactly as the source returned it. Parsing, field extraction, validation, normalisation, deduplication, embedding and storage all happen in your own pipeline — LUDAX supplies the location, the session and the network path.

02Which product fits an AI or RAG pipeline?

For open public sources standard Residential is enough. Sources that render content in JavaScript, or that inspect the TLS handshake, are the case for Residential TLS; sources that reject ordinary exits are the case for the screened premium pool. All of them share credentials and parameter syntax, so a worker can switch by changing one parameter.

03When should a pipeline use sticky sessions?

Whenever one logical document needs several requests: pagination, search then result, filter then listing, or a multi-step flow. Hold one sticky session for that sequence. Independent single-page fetches should rotate instead, so no single exit carries the whole run.

04How should I estimate traffic for a corpus refresh?

Multiply source domains by pages per source by runs per month by the average response weight, then add about 15% for retries and rendered loads. Measure the weight on a real sample first — a rendered page with imagery can be ten times a text-only response. The estimator above does the arithmetic.

05Can traffic originate from specific countries or cities?

Yes. Country, city and ASN targeting are available as gateway parameters, across 181 countries. Where a city has no capacity the request resolves at country level — record that fallback with the document rather than discarding it.

06Does LUDAX host models, vector databases or datasets?

No. LUDAX is a proxy network: exits, locations, sessions and the network path. There are no hosted models, no vector store, no dataset licensing and no managed scraping service. Nor does the network path make any content licensed for training — that is decided by the source and applicable law.

[ START HERE ]

Build the pipeline. Start with the network path.

Test one source set with the smallest traffic package, measure the real response weight and retry rate, then scale the estimate with evidence.

$0.99/ 1 GB · $0.49 / GB at 1 TB

Start with 1 GB — $0.99 See full pricing

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