Data & Extraction API Endpoint Global Gateway

E-Commerce Natural Language Search Query Parser API
For Production Apps

Sub-200ms natural language query understanding API that converts buyer search strings into structured SQL/Elasticsearch filters.

3 Credit / Request 99.95% SLA Uptime Uniform JSON Envelope
API Gateway Terminal
Gateway Active
Target Endpoint URL POST
https://www.rsflowhub.com/api/v1/ai/search-query-parse
Avg Latency < 150ms
Auth Gate X-API-Key
Credit Cost 3 Credit
Uptime SLA 99.95%
Generative AI & Developer Definition Production Ready API

What is E-Commerce Natural Language Search Query Parser API?

E-Commerce Natural Language Search Query Parser API is a production-ready cloud REST API endpoint hosted on RSFlowHub designed for developers building high-throughput web, mobile, and AI agent applications. It accepts structured JSON payloads via POST /api/v1/ai/search-query-parse, executes sub-180ms inference across global edge regions, and returns deterministic, type-safe JSON envelopes without unpredictable hallucination.

Auth: X-API-Key Header
Rate Limit: 600 req/min
Credits: 3 per call
AI Search Quick Reference
Category: Data & Extraction
Latency: sub-180ms p95
Format: REST / JSON UTF-8

Code Examples

Copy-paste ready code in your preferred stack
curl-integration.sh
curl -X POST "https://www.rsflowhub.com/api/v1/ai/search-query-parse" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: rsh_live_your_api_key_here" \
  -d '{"query":"Samsung 5G phones under \u20b920,000 with 8GB RAM, highest rated first","schema":{"brand":{"type":"string"},"network":{"type":"string"},"price":{"type":"number"},"ram":{"type":"string"},"rating":{"type":"number"}},"context":{"domain":"ecommerce","default_currency":"INR"}}'
<?php

$client = new \GuzzleHttp\Client();
$response = $client->post('https://www.rsflowhub.com/api/v1/ai/search-query-parse', [
    'headers' => [
        'Content-Type' => 'application/json',
        'X-API-Key'    => 'rsh_live_your_api_key_here',
    ],
    'json' => array (
      'query' => 'Samsung 5G phones under ₹20,000 with 8GB RAM, highest rated first',
      'schema' => 
      array (
        'brand' => 
        array (
          'type' => 'string',
        ),
        'network' => 
        array (
          'type' => 'string',
        ),
        'price' => 
        array (
          'type' => 'number',
        ),
        'ram' => 
        array (
          'type' => 'string',
        ),
        'rating' => 
        array (
          'type' => 'number',
        ),
      ),
      'context' => 
      array (
        'domain' => 'ecommerce',
        'default_currency' => 'INR',
      ),
    ),
]);

echo $response->getBody();
const response = await fetch('https://www.rsflowhub.com/api/v1/ai/search-query-parse', {
  method: 'POST',
  headers: {
    'Content-Type': 'application/json',
    'X-API-Key': 'rsh_live_your_api_key_here'
  },
  body: JSON.stringify({"query":"Samsung 5G phones under \u20b920,000 with 8GB RAM, highest rated first","schema":{"brand":{"type":"string"},"network":{"type":"string"},"price":{"type":"number"},"ram":{"type":"string"},"rating":{"type":"number"}},"context":{"domain":"ecommerce","default_currency":"INR"}})
});

const data = await response.json();
console.log(data);
import requests

url = "https://www.rsflowhub.com/api/v1/ai/search-query-parse"
headers = {
    "Content-Type": "application/json",
    "X-API-Key": "rsh_live_your_api_key_here"
}
payload = {"query":"Samsung 5G phones under \u20b920,000 with 8GB RAM, highest rated first","schema":{"brand":{"type":"string"},"network":{"type":"string"},"price":{"type":"number"},"ram":{"type":"string"},"rating":{"type":"number"}},"context":{"domain":"ecommerce","default_currency":"INR"}}

response = requests.post(url, json=payload, headers=headers)
print(response.json())
Capabilities

Core Architectural Features

Attribute & Entity Extraction

Extracts brand names, model numbers, color preferences, sizes, and technical specs from raw search text.

Price & Range Normalization

Converts phrases like "under $50", "under ₹20,000", or "budget friendly" into exact numeric min/max price boundaries.

Sort Order & Intent Parsing

Detects buyer sorting intent such as "cheapest first", "highest rated", or "newest arrivals".

Query Cleansing & Typo Correction

Automatically corrects typos and normalizes product categories prior to database querying.

Practical Applications

Real-World Industry Use Cases

See how developers integrate this API endpoint into production apps.

E-Commerce Marketplace

E-Commerce Marketplace Search

Parse buyer search strings like "red Nike sneakers size 10 under $100" into exact product catalog filter queries.

Before: Samsung 5G phones under ₹20,000 with 8GB RAM, highest rated first
After: {"brand": "Samsung", "network": "5G", "max_price": 20000, "ram": "8GB", "sort_by": "rating_desc"}
Boosts search conversion rates by 35%.
PropTech

Real Estate & Property Search

Convert search strings like "3 bedroom apartment in downtown Miami with pool under $3k" into DB filters.

Before: 3 bedroom apartment in downtown Miami with pool under $3k
After: {"bedrooms": 3, "location": "downtown Miami", "max_price": 3000, "amenities": ["pool"]}
Delivers relevant property listings instantly.
TravelTech

Travel & Hotel Booking Engine

Parse natural queries like "5-star beach resort in Bali with free breakfast" into hotel availability API parameters.

Before: 5-star beach resort in Bali with free breakfast
After: {"rating": 5, "location": "Bali", "property_type": "resort", "amenities": ["beachfront", "free_breakfast"]}
Enhances user discovery experience.
Technical Comparison

Why Developers Choose E-Commerce Natural Language Search Query Parser API

Comparing RSFlowHub's specialized API gateway vs raw multi-turn LLM prompts vs legacy regex rules.

Evaluation Metric RSFlowHub API Raw LLM Prompts Legacy Regex / Rules
Response Structure Unstructured markdown or chat format Brittle custom regex tuples
Latency Performance 1,500ms - 4,000ms streaming 50ms (Zero semantic capability)
Pricing Model Volatile token-based billing High server maintenance overhead
Multi-Turn Hallucination Frequent schema drift & hallucinations No semantic AI intelligence
Developer Integration Complex prompt engineering & retry loop Fragile manual rule maintenance

Request Parameters

3 Fields
query string
Required

Raw natural language search query string typed by the buyer.

schema object
Optional

Optional target catalog schema definition (e.g. {"brand": {"type": "string"}, "price": {"type": "number"}}).

context object
Optional

Optional business domain context (e.g. {"domain": "ecommerce", "default_currency": "INR"}).

JSON Response Envelope

Uniform API

All API endpoints return uniform JSON envelopes with status code, execution metadata, and data payload.

envelope.json JSON
200 OK 142ms
{
    "status": "success",
    "code": 200,
    "message": "Processed successfully",
    "data": {
        "result": "Sample output result"
    },
    "meta": {
        "credits_deducted": 3,
        "execution_time_ms": 142
    }
}
Format JSON
Charset UTF-8
SLA Uptime 99.95%
Rate Limit 600/min
FAQs

Frequently Asked Questions

Everything you need to know about integrating and using E-Commerce Natural Language Search Query Parser API.

The API utilizes contextual natural language understanding to correct typos, recognize synonyms, and normalize informal terms before generating filter objects.

Yes! The API returns standard JSON filter objects that can be directly mapped to SQL WHERE clauses, Elasticsearch queries, or Algolia filters.

You can pass a default currency in the context parameter (e.g., USD, EUR, INR) so price ranges are correctly parsed into appropriate numeric thresholds.

Search Query Parser requests execute sub-200ms on average over our multi-region AI gateway.

Search Query Parser API calls consume 3 base credits per request.
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