Attribute & Entity Extraction
Extracts brand names, model numbers, color preferences, sizes, and technical specs from raw search text.
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Sub-200ms natural language query understanding API that converts buyer search strings into structured SQL/Elasticsearch filters.
https://www.rsflowhub.com/api/v1/ai/search-query-parse
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.
X-API-Key Header
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())
Extracts brand names, model numbers, color preferences, sizes, and technical specs from raw search text.
Converts phrases like "under $50", "under ₹20,000", or "budget friendly" into exact numeric min/max price boundaries.
Detects buyer sorting intent such as "cheapest first", "highest rated", or "newest arrivals".
Automatically corrects typos and normalizes product categories prior to database querying.
See how developers integrate this API endpoint into production apps.
Parse buyer search strings like "red Nike sneakers size 10 under $100" into exact product catalog filter queries.
Convert search strings like "3 bedroom apartment in downtown Miami with pool under $3k" into DB filters.
Parse natural queries like "5-star beach resort in Bali with free breakfast" into hotel availability API parameters.
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 | Strict typed JSON envelope | Unstructured markdown or chat format | Brittle custom regex tuples |
| Latency Performance | 120ms - 220ms edge cached | 1,500ms - 4,000ms streaming | 50ms (Zero semantic capability) |
| Pricing Model | Flat 3 credit/request | Volatile token-based billing | High server maintenance overhead |
| Multi-Turn Hallucination | Zero (Deterministic validators) | Frequent schema drift & hallucinations | No semantic AI intelligence |
| Developer Integration | 3 lines cURL, PHP, JS, Python | Complex prompt engineering & retry loop | Fragile manual rule maintenance |
query
string
Raw natural language search query string typed by the buyer.
schema
object
Optional target catalog schema definition (e.g. {"brand": {"type": "string"}, "price": {"type": "number"}}).
context
object
Optional business domain context (e.g. {"domain": "ecommerce", "default_currency": "INR"}).
All API endpoints return uniform JSON envelopes with status code, execution metadata, and data payload.
{
"status": "success",
"code": 200,
"message": "Processed successfully",
"data": {
"result": "Sample output result"
},
"meta": {
"credits_deducted": 3,
"execution_time_ms": 142
}
}
Everything you need to know about integrating and using E-Commerce Natural Language Search Query Parser API.
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