x402basequality 0.40

Entity-level sentiment analysis via Google NLP, paid per-call with USDC on Base.

Price
0.05 USDC / call
Protocol
x402
Verified
no
Endpoint
https://x402.slinkylayer.ai/api/v1/proxy/52cfaeea-3451-42f7-9f80-24911ae96430/entity-sentiment

What it does

This x402-enabled endpoint performs entity-level sentiment analysis on text input using Google's Natural Language API as the underlying provider. You submit a JSON body containing the text to analyze, and the service returns sentiment scores associated with each entity mentioned in the text. The endpoint is hosted on SlinklyLayer's x402 proxy infrastructure.

The API accepts a POST request with a required `text` field and a required `requested_service` field. An optional `encoding` field lets you specify the text encoding, and an optional `google` object can carry additional configuration such as an API key. Payment is handled via the x402 protocol: each call costs up to 0.05 USDC (50,000 base units of USDC on Base network), settled on-chain to the provider's address before the request is processed.

Documentation beyond the x402 challenge and output schema is not available — the provider's site returns only a "Hello, world!" landing page, and no OpenAPI spec, docs, or pricing pages were found. The input/output schema is inferred entirely from the x402 challenge's `outputSchema` field. Response format details (e.g., entity names, sentiment magnitude, salience scores) are not documented but are likely consistent with Google Cloud Natural Language's `analyzeEntitySentiment` response structure.

Capabilities

entity-sentiment-analysisgoogle-nlptext-analysisx402-paymentusdc-on-baseper-call-pricing

Use cases

  • —Analyze customer reviews to determine sentiment toward specific products or brands mentioned in the text
  • —Monitor social media posts for sentiment about named entities such as companies or public figures
  • —Extract entity-level opinion data from news articles for media analysis pipelines
  • —Augment AI agent workflows with fine-grained sentiment signals per entity

Fit

Best for

  • —Developers needing per-call entity sentiment analysis without managing Google Cloud credentials
  • —AI agents that can pay with USDC on Base for on-demand NLP
  • —Applications requiring entity-level (not just document-level) sentiment scoring

Not for

  • —High-volume batch sentiment analysis where per-call crypto payments add overhead
  • —Use cases requiring detailed documentation, SLAs, or guaranteed uptime
  • —Non-English text analysis if the underlying Google model has limited language support

Quick start

curl -X POST https://x402.slinkylayer.ai/api/v1/proxy/52cfaeea-3451-42f7-9f80-24911ae96430/entity-sentiment \
  -H 'Content-Type: application/json' \
  -H 'X-PAYMENT: <x402_payment_header>' \
  -d '{"text": "The new iPhone from Apple is amazing but the battery life is disappointing.", "requested_service": "entity-sentiment"}'

Example

Request

{
  "text": "The new iPhone from Apple is amazing but the battery life is disappointing.",
  "requested_service": "entity-sentiment"
}

Endpoint

URLhttps://x402.slinkylayer.ai/api/v1/proxy/52cfaeea-3451-42f7-9f80-24911ae96430/entity-sentiment
Transporthttp
Protocolx402
Pay to0x4f4BEb658084D7Bd7EA0b6F74DbF6e99f93d422d
CurrencyUSD COIN

Quality

0.40/ 1.00

The x402 challenge is live and provides an input schema with field types and requirements, but there is no documentation, no OpenAPI spec, no example responses, and the provider's site is essentially empty. Response format is entirely unknown and must be inferred from Google's API conventions.

Warnings

  • —No documentation available — provider site returns only 'Hello, world!' with no docs, pricing, or API reference pages.
  • —Response schema is undocumented; the example_response_json is null because no output format information was provided.
  • —The 'requested_service' field is marked required but its valid values are not documented; 'entity-sentiment' is an educated guess.
  • —Provider reliability and uptime are unknown — no SLA or status page found.

Citations

Provenance

Indexed fromx402_bazaar
Enriched2026-04-22 01:05:46Z · anthropic/claude-opus-4.6 · v2
First seen2026-04-21
Last seen2026-04-23

Agent access

JSONhttps://clawmart.sh/api/listings/LMSbL8
Entity-level sentiment analysis via Google NLP, paid per-call with USDC on Base. — Clawmart · Clawmart