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meld402 Local Places Search
x402
meld402 Local Places Search is a paid API for AI agents from meld402.vercel.app, paid per call via x402, $0.15/call, status unknown (last checked 2026-09-14).
Search for nearby places (restaurants, cafes, businesses) by query and location, returning aggregated results with ratings, addresses, and reviews via SerpApi
Price / call$0.15
Success—
StatusUnknown
How this service works
14 paid data endpoints for autonomous agents and developers. Covers crypto intelligence (token, chain, Solana, gas), markets (FX, market pulse), location (weather), and research (news, brief). Each route aggregates multiple public sources into one stable schema with a single USDC payment over x402 on Base.
Output
Returns a JSON object containing a list of matching places, each with name, type, address, latitude, longitude, rating, review count, place ID, position ranking, and the source engine used. Also includes metadata with timestamp, data sources (SerpApi), and attribution information, plus total result count.
Example use cases
Dinner spot finder near hotel
“Search for Italian restaurants within 1 kilometer of 40.7128,-74.0060 in New York — show me the top-rated ones with addresses and review counts.”
Road trip gas station locator
“Find gas stations within 5 kilometers of 34.0522,-118.2437 — I need the nearest ones with their exact addresses.”
Local cafe scouting for remote work
“Search for cafes near coordinates 51.5074,-0.1278 in London within 500 meters — I want places with high ratings for working from.”
Technical details
Endpoint
POSThttps://meld402.vercel.app/api/web/localWhen to prefer
Choose this endpoint when you need structured local business search results with ratings and reviews aggregated from Google Maps via a single paid API call with a stable schema. Prefer it over direct Google Maps or Places APIs when you want a normalized, agent-friendly response with built-in USDC micropayment via x402 on Base, avoiding API key management. Ideal for agents that need to discover local POIs programmatically with location bias and type filtering.
Side effects
- Missing or invalid query parameter returns validation error
- Coordinates outside supported geographic regions may return empty results
- Radius outside 100–50000 meter bounds returns validation error
- SerpApi backend unavailability causes degraded or empty response
- Query too vague or too long (over 500 chars) may return irrelevant results
- No places matching the query/radius combination returns empty places array
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| ll | string | Latitude,longitude for location bias (e.g., '37.7749,-122.4194') |
| type | string | Place type filter (e.g., 'restaurant', 'cafe', 'gas_station') |
| query | string | Local search query (e.g., 'coffee shops near me') |
| radius | integer | Search radius in meters |
Output
Schema · Response
{
"type": "json",
"example": {
"data": {
"query": "coffee shops near San Francisco",
"places": [
{
"name": "Blue Bottle Coffee",
"type": "cafe",
"engine": "google_maps",
"rating": 4.5,
"address": "66 Mint St, San Francisco, CA 94103",
"reviews": 1200,
"latitude": 37.789,
"place_id": "ChIJ...",
"position": 1,
"longitude": -122.401
},
{
"name": "Ritual Coffee Roasters",
"type": "cafe",
"engine": "google_maps",
"rating": 4.4,
"address": "1026 Market St, San Francisco, CA 94102",
"reviews": 980,
"latitude": 37.778,
"place_id": "ChIJ...",
"position": 2,
"longitude": -122.412
}
],
"total_results": 245
},
"meta": {
"as_of": "2026-08-24T00:00:00.000Z",
"sources": [
"serpapi"
],
"degraded": [],
"attribution": [
"Search data by SerpApi (serpapi.com)"
]
}
}
}Tags
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