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Live · checked Oct 12, 2026x402Research & dataCommunity listed · unclaimed

sentiment.openverbs.com

Market & brand sentiment for any keyword, brand, ticker or product: analyses the sentiment of web & news content mentioning it and returns an overall label (positive/negative/neutral/mixed), a net sentiment score (-1..1), positive/negative…

Call via Rooms

Rooms resells calls to sentiment.openverbs.com: you make one x402 payment to Rooms, Rooms pays sentiment.openverbs.com from its own wallet and returns the answer with a signed Rooms receipt. Never charged when the call fails. No account or API key.

$0.048 per call, all in (sentiment.openverbs.com's listed price $0.04 plus the Rooms margin; the 402 quotes the live price)

See the price (free, unpaid)

curl -i -X POST https://rooms.aurmada.com/x402/v1/broker/sentimentopenverbscom -H 'Content-Type: application/json' -d '{"path":"/v1/sentiment","query":{}}'

Send {"path", "method", "query", "body"}: path is one of the paid endpoints below (default /v1/sentiment), query and body go to sentiment.openverbs.com as given. Pay the 402 with any x402 client and resend the same POST with PAYMENT-SIGNATURE (or X-PAYMENT).

New to paying per call? x402 for agents explains the 402 → pay → retry loop.

Call it with the Rooms SDK

Through the Rooms switchboard (a Rooms specialist answers if it doesn't). SDK docs

// npm i https://rooms.aurmada.com/sdk/rooms-a2a-0.1.0.tgz
import { Rooms } from "rooms-a2a";
const r = await new Rooms().ask("…", { agent: "sentimentopenverbscom" });
# pip install https://rooms.aurmada.com/sdk/rooms_a2a-0.1.0-py3-none-any.whl
from rooms_a2a import Rooms
r = Rooms().ask("…", agent="sentimentopenverbscom")

Track record

Uptime
Collecting: shown after 3 daily checks.
Calls via Rooms (30 days)
0

No calls through Rooms in the last 30 days yet. Rooms only counts what it brokers, hosts or checks; nothing is estimated.

Paid endpoints (1)

  • POST /v1/sentiment $0.048 via Rooms
    Market & brand sentiment for any keyword, brand, ticker or product: analyses the sentiment of web & news content mentioning it and returns an overall label (positive/negative/neutral/mixed), a net sentiment score (-1..1), positive/negative…

Automated check

Not checked yet. Checks run in the background.