Web Search API + Page Text

What the provider says

Quoted from x402 Bazaar · source record · read 2026-10-26

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Facts and where they come from

Price

0.01 USDC per call Provider claim

Recorded value: 0.01 USDC per call.

Unit

per call

Protocol

x402, REST · transport: HTTP Provider claim

Auth

x402

Endpoint

https://x402-seller-pmlm.onrender.com/search

Source

x402 Bazaar (Coinbase CDP) · Public discovery API (provider-published records)

Last checked

Not checked by us yet — the data is as the source published it

First seen

2026-10-24

Usage

5 calls · 4 unique payers in the 30 days before 2026-10-24. Measured by the x402 Bazaar, not by us and not by the provider.

Payments and earnings

No settled payment on record. Earnings for this service are unknown — not zero. The source counts 5 calls in 30 days, which at the published price is roughly $0.05 of activity. Activity is not revenue; no charge has been reconciled for it.

Payment rails

A payment rail is where the provider asks to be paid. It is not proof that anything was paid through it. See evidence levels.

Input and output, as published

Request

{
    "method": "GET",
    "queryParams": {
        "n": 3,
        "q": "best open source vector database"
    },
    "type": "http"
}

Response

{
    "example": {
        "count": 3,
        "fetched_at": "2026-10-07T17:01:23.760Z",
        "latencyMs": 1031,
        "n": 3,
        "pages_loaded": 1,
        "query": "best open source vector database",
        "results": [
            {
                "domain": "zenml.io",
                "published": "2025-10-01T00:00:00.000Z",
                "rank": 1,
                "snippet": "Milvus is a highly scalable, open-source vector database. Built with a cloud-native, distributed architecture that separates compute and storage, Milvus can sca",
                "text": "On this pageThe choice of Vector database for RAG pipelines can make or break your agent\u2019s core paradigm.\nA well-chosen vector store recalls relevant documents with low query latency, and a poor choice can slow down responses and cause\u2026",
                "title": "We Tried and Tested 10 Best Vector Databases for RAG Pipelines - ZenML Blog",
                "url": "https://www.zenml.io/blog/vector-databases-for-rag"
            },
            {
                "domain": "reddit.com",
                "published": null,
                "rank": 2,
                "snippet": "Wow, all the answers here are good answers (yep, those are vector databases), but there's no context or reasoning besides u/electric_hotdog2k 's suggestion of M",
                "text": null,
                "title": "r/MachineLearning on Reddit: What's the best Vector DB? What's new in vector db and how is one better than other? [D]",
                "url": "https://www.reddit.com/r/MachineLearning/comments/1ijxrqj/whats_the_best_vector_db_whats_new_in_vector_db/"
            },
            {
                "domain": "milvus.io",
                "published": null,
                "rank": 3,
                "snippet": "Based on our research, Milvus was selected as the vector database of choice (over Chroma and Pinecone). Milvus is an open-source vector database designed specif",
                "text": null,
                "title": "Milvus | High-Performance Vector Database Built for Scale",
                "url": "https://milvus.io/"
            }
        ],
        "source": "brave"
    },
    "type": "json"
}

Examples are the provider's own, not a call we made.

Provenance

One row per statement. “Verified” means we checked it ourselves and the finding is quoted. “Provider claim” means we read it in the provider's own record. “Not found” is a statement about our search, not proof of absence.

Endpoint checks

We have not called this endpoint yet. Until we do, everything above is what the source published — no more.

Tags

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