← The evidence ledger
Evidence row 71212
Observed , by baseline/1.
- Kind
- listing
- About
- source_record x402_bazaar:https://archtools.dev/v1/tools/sentiment-analysis
- Recorded
- Previous row
- None: the first of its kind about this subject
- Body SHA-256
- d606092c57bcd6c5b1d3572e1a14835b3f20d65b7fe7bfb17907225c577da798
- Leaf
- 0x3e2787040897b7c72f4f1f5ff83f7430c546d2ea9272664f0c610ecaf1ebc1ca
What was observed
{
"endpoints": [
[
"x402",
"https://archtools.dev/v1/tools/sentiment-analysis"
]
],
"name": "archtools.dev/v1/tools/sentiment-analysis",
"owner_address": "0x2583aac89f58a63d9ccbedaa5e3baf2196aa967e",
"raw": {
"accepts": [
{
"amount": "15000",
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"maxTimeoutSeconds": 60,
"network": "eip155:8453",
"payTo": "0x2583aAc89f58a63D9CCbeDaa5e3BaF2196Aa967e",
"scheme": "exact"
},
{
"amount": "15000",
"asset": "0x3c499c542cEF5E3811e1192ce70d8cC03d5c3359",
"extra": {
"name": "USD Coin",
"version": "2"
},
"maxTimeoutSeconds": 60,
"network": "eip155:137",
"payTo": "0x2583aAc89f58a63D9CCbeDaa5e3BaF2196Aa967e",
"scheme": "exact"
},
{
"amount": "15000",
"asset": "0xfde4C96c8593536E31F229EA8f37b2ADa2699bb2",
"extra": {
"name": "Tether USD",
"version": "2"
},
"maxTimeoutSeconds": 60,
"network": "eip155:8453",
"payTo": "0x2583aAc89f58a63D9CCbeDaa5e3BaF2196Aa967e",
"scheme": "exact"
},
{
"amount": "15000",
"asset": "0xc2132D05D31c914a87C6611C10748AEb04B58e8F",
"extra": {
"name": "Tether USD",
"version": "2"
},
"maxTimeoutSeconds": 60,
"network": "eip155:137",
"payTo": "0x2583aAc89f58a63D9CCbeDaa5e3BaF2196Aa967e",
"scheme": "exact"
}
],
"description": "Classify text as positive, negative or neutral with scores and emotion detection. Instant NLP for reviews, support and social. Pay per call with USDC (x402) or credits - archtools.dev",
"extensions": {
"bazaar": {
"info": {
"input": {
"body": {
"text": "example"
},
"bodyType": "json",
"method": "POST",
"type": "http"
},
"output": {
"example": {
"ok": true
},
"type": "json"
}
},
"routeTemplate": "/v1/tools/sentiment-analysis",
"schema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"properties": {
"body": {
"properties": {
"text": {
"description": "Text to analyze",
"type": "string"
}
},
"required": [
"text"
],
"type": "object"
}
},
"type": "object"
}
},
"type": "object"
}
}
},
"lastUpdated": "2026-10-13T08:39:17.77Z",
"quality": {
"l30DaysTotalCalls": 1,
"l30DaysUniquePayers": 1,
"lastCalledAt": "2026-10-13T08:39:17.269Z"
},
"resource": "https://archtools.dev/v1/tools/sentiment-analysis",
"type": "http",
"x402Version": 2
},
"source": "x402_bazaar",
"summary": "Classify text as positive, negative or neutral with scores and emotion detection. Instant NLP for reviews, support and social. Pay per call with USDC (x402) or credits - archtools.dev"
}What the leaf hashes
{"body":"d606092c57bcd6c5b1d3572e1a14835b3f20d65b7fe7bfb17907225c577da798","id":71212,"kind":"listing","method":"baseline/1","observed_us":1793025481797625,"prev":null,"subject":"x402_bazaar:https://archtools.dev/v1/tools/sentiment-analysis","subject_kind":"source_record"}Proof
Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of (296695 rows).
- 0x3e27df1b61d245fd1af69eff5f4c995c03a6dca3b3c41978552d4cd2839963fd
- 0x8701b745a644410d723509fdf9e18b31ac4a1c08e8fef5ea174faf2c0228fa7b
- 0x46c652e316b6ddfd82e129f1830993883c8de4bb17977eeebb9d58670ea0d33b
- 0xffc9996fb260dc87dcfe502f32f4d0d151383458c822430fe33a995bc8c36029
- 0x86bb074a4eed6454910ec84b43c6a33537462817e3aaae138e36c5b10c1ad0b1
- 0xe20952110482f85ad53bb8981725fe7f6de114810542fa57ca6e7161eececcf3
- 0x22f28b3b07b528cf0bf37058b70b6f2bfa609c810b9c13dc26242bd99a1afdcf
- 0xd2fe879dcfa98a48df5c2114a61da85f0615fb0c7859549e26f5e362a785473a
- 0x71cde1f2e46f64433ce26a600644420786ceae66a8a84d9a72f83569bd443be3
- 0x8e5649068bfe1600b5f38cb8d5f950b0cad91a024600039e3ba08f751258e697
- 0xeff3ae4ccee9e9ab663bed39de24a2076950808876228a89701d6ab7f016bd7e
- 0x1afc0318a98c6dbb5a80e5cb86eba22b844e3f3b185a16f17290e29ab7410f55
- 0x215f432600b78f2e7c9629cd10ce6ce4b7f3351b0b71f3f2c7dcb8e650f6cd63
- 0x7f594f5609f388d64d3cda87b5631d393ee8300bb09bad71f150113a5886ee33
- 0x4b52a97f7a80ff7778a702b85267b8d2e5c93ce160942656435c29ae7be68bf4
- 0x2e6a32eb32761c210560e852405e2f865f958ddbe01027894f8b9c1b3433b9f0
- 0x9a83be955a206deb65b995adfd92c58fa31c95fbbf926bd199d300e70b08b26d
- 0x20704208aa6923d6b2450ef74ede87a6e0265d46447926038fe9506e9e154b2d
- 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a
- Day root
- 0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
- Chained
- 0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
- Published
- On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae