← The evidence ledger
Evidence row 62281
Observed , by baseline/1.
- Kind
- listing
- About
- source_record x402_bazaar:https://agentbit.app/v1/content/keywords
- Recorded
- Previous row
- None: the first of its kind about this subject
- Body SHA-256
- 8a0680b768059757df7ea65e38772d7acca6579933bc6ef49cf53c4cd76f0263
- Leaf
- 0xb8a3c9ad338adafd764905ddaf20b33e91962752d58f479f333b85ec0d2d1c6a
What was observed
{
"endpoints": [
[
"x402",
"https://agentbit.app/v1/content/keywords"
]
],
"name": "agentbit.app/v1/content/keywords",
"owner_address": "0x4395c7e383b7e05665aad7f36ed77c01923dd965",
"raw": {
"accepts": [
{
"amount": "2000",
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"description": "Extract the top keywords and key phrases from text (frequency, stopword-filtered) plus structured entities by pattern — emails, URLs, @mentions, #hashtags, phones, money, dates and 0x crypto addresses. Offline, key-less, $0.002.",
"extra": {
"name": "USD Coin",
"version": "2"
},
"maxTimeoutSeconds": 300,
"mimeType": "application/json",
"network": "eip155:8453",
"payTo": "0x4395C7e383b7e05665aad7f36ed77c01923Dd965",
"resource": "https://agentbit.app/v1/content/keywords",
"scheme": "exact"
},
{
"amount": "2000",
"asset": "0x3c499c542cEF5E3811e1192ce70d8cC03d5c3359",
"description": "Extract the top keywords and key phrases from text (frequency, stopword-filtered) plus structured entities by pattern — emails, URLs, @mentions, #hashtags, phones, money, dates and 0x crypto addresses. Offline, key-less, $0.002.",
"extra": {
"name": "USD Coin",
"version": "2"
},
"maxTimeoutSeconds": 300,
"mimeType": "application/json",
"network": "eip155:137",
"payTo": "0x4395C7e383b7e05665aad7f36ed77c01923Dd965",
"resource": "https://agentbit.app/v1/content/keywords",
"scheme": "exact"
},
{
"amount": "2000",
"asset": "0xaf88d065e77c8cC2239327C5EDb3A432268e5831",
"description": "Extract the top keywords and key phrases from text (frequency, stopword-filtered) plus structured entities by pattern — emails, URLs, @mentions, #hashtags, phones, money, dates and 0x crypto addresses. Offline, key-less, $0.002.",
"extra": {
"name": "USD Coin",
"version": "2"
},
"maxTimeoutSeconds": 300,
"mimeType": "application/json",
"network": "eip155:42161",
"payTo": "0x4395C7e383b7e05665aad7f36ed77c01923Dd965",
"resource": "https://agentbit.app/v1/content/keywords",
"scheme": "exact"
},
{
"amount": "2000",
"asset": "EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v",
"description": "Extract the top keywords and key phrases from text (frequency, stopword-filtered) plus structured entities by pattern — emails, URLs, @mentions, #hashtags, phones, money, dates and 0x crypto addresses. Offline, key-less, $0.002.",
"extra": {
"feePayer": "BENrLoUbndxoNMUS5JXApGMtNykLjFXXixMtpDwDR9SP"
},
"maxTimeoutSeconds": 300,
"mimeType": "application/json",
"network": "solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp",
"payTo": "566SN4N4q1dAjSXTf6Ru9FGY7iD1Sj6n3QmGCEigBfYd",
"resource": "https://agentbit.app/v1/content/keywords",
"scheme": "exact"
},
{
"amount": "2000",
"asset": "0x79A02482A880bCE3F13e09Da970dC34db4CD24d1",
"description": "Extract the top keywords and key phrases from text (frequency, stopword-filtered) plus structured entities by pattern — emails, URLs, @mentions, #hashtags, phones, money, dates and 0x crypto addresses. Offline, key-less, $0.002.",
"extra": {
"name": "USDC",
"version": "2"
},
"maxTimeoutSeconds": 300,
"mimeType": "application/json",
"network": "eip155:480",
"payTo": "0x4395C7e383b7e05665aad7f36ed77c01923Dd965",
"resource": "https://agentbit.app/v1/content/keywords",
"scheme": "exact"
}
],
"description": "Extract the top keywords and key phrases from text (frequency, stopword-filtered) plus structured entities by pattern — emails, URLs, @mentions, #hashtags, phones, money, dates and 0x crypto addresses. Offline, key-less, $0.002.",
"extensions": {
"bazaar": {
"info": {
"description": "Turn free text into tags and structured signals, computed offline: the most significant keywords and two-word key phrases (frequency-ranked, stopword-filtered, numbers dropped) and a set of regex-extracted entities — email addresses, URLs, social @mentions and #hashtags, phone numbers, money amounts, dates and EVM (0x) crypto addresses. Agents use it to index, tag, deduplicate, route or enrich content without an LLM. Pass limit to control how many keywords come back. Cheap, deterministic, high-volume.",
"errors": [
{
"code": "PAYMENT_REQUIRED",
"description": "Missing or invalid payment — retry with a valid PAYMENT-SIGNATURE header",
"retryable": true,
"status": 402
},
{
"code": "VALIDATION_ERROR",
"description": "Request body does not match the input schema",
"retryable": false,
"status": 422
},
{
"code": "RATE_LIMITED",
"description": "Too many requests from this client",
"retryable": true,
"status": 429
},
{
"code": "UPSTREAM_TIMEOUT",
"description": "Upstream data source unavailable — safe to retry",
"retryable": true,
"status": 502
}
],
"input": {
"body": {
"limit": 5,
"text": "Contact us at hello@agentbit.app or visit https://agentbit.app. The x402 protocol enables pay-per-call agents. #AI #x402"
},
"bodyType": "json",
"method": "POST",
"type": "http"
},
"networks": [
"eip155:8453",
"eip155:137",
"eip155:42161",
"solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp",
"eip155:480"
],
"output": {
"example": {},
"type": "json"
},
"pricing": {
"amount": 0.002,
"currency": "USDC",
"firstCallFree": true,
"model": "per-call",
"quoteHint": "Send your wallet address in an X-BUYER-WALLET header on the unpaid request to receive your personalized (volume-discounted) quote.",
"volumeDiscounts": [
{
"minCalls30d": 100,
"percent": 10
},
{
"minCalls30d": 1000,
"percent": 20
}
]
},
"provider": {
"category": "DATA_ENRICHMENT",
"description": "Extract the top keywords and key phrases from text (frequency, stopword-filtered) plus structured entities by pattern — emails, URLs, @mentions, #hashtags, phones, money, dates and 0x crypto addresses. Offline, key-less, $0.002.",
"docsUrl": "https://agentbit.app/llms.txt",
"name": "AgentBIT",
"tags": [
"x402",
"agentbit",
"content",
"text",
"media",
"keywords"
],
"website": "https://agentbit.app"
},
"reliability": {
"measuredAt": "2026-10-08T06:09:50+00:00",
"p50LatencyMs": 0,
"p95LatencyMs": 0,
"sampleSize": 3,
"successRatePercent": 100,
"windowDays": 30
}
},
"resource": "https://agentbit.app/v1/content/keywords",
"schema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"description": {
"type": "string"
},
"errors": {
"items": {
"properties": {
"code": {
"type": "string"
},
"description": {
"type": "string"
},
"retryable": {
"type": "boolean"
},
"status": {
"type": "integer"
}
},
"required": [
"status",
"code"
],
"type": "object"
},
"type": "array"
},
"input": {
"additionalProperties": false,
"properties": {
"body": {
"description": "Text Keywords & Entities input. Extract the top keywords and key phrases from text (frequency, stopword-filtered) plus structured entities by pattern — emails, URLs, @mentions, #hashtags, phones, money, dates and 0x crypto addresses. Offline, key-less, $0.002.",
"properties": {
"limit": {
"description": "Max keywords to return (1-50, default 10)",
"type": "integer"
},
"text": {
"description": "The text to extract from (up to 100k characters)",
"type": "string"
}
},
"required": [
"text"
],
"type": "object"
},
"bodyType": {
"enum": [
"json",
"form-data",
"text"
],
"type": "string"
},
"headers": {
"additionalProperties": {
"type": "string"
},
"type": "object"
},
"method": {
"enum": [
"POST",
"PUT",
"PATCH"
],
"type": "string"
},
"queryParams": {
"additionalProperties": {
"type": "string"
},
"type": "object"
},
"type": {
"const": "http",
"type": "string"
}
},
"required": [
"type",
"method",
"bodyType",
"body"
],
"type": "object"
},
"networks": {
"items": {
"type": "string"
},
"type": "array"
},
"output": {
"properties": {
"example": {
"type": "object"
},
"type": {
"type": "string"
}
},
"required": [
"type"
],
"type": "object"
},
"pricing": {
"properties": {
"amount": {
"type": [
"number",
"null"
]
},
"currency": {
"type": "string"
},
"firstCallFree": {
"type": "boolean"
},
"maxAmount": {
"type": "number"
},
"model": {
"type": "string"
},
"quoteHint": {
"type": "string"
},
"volumeDiscounts": {
"items": {
"properties": {
"minCalls30d": {
"type": "integer"
},
"percent": {
"type": "number"
}
},
"required": [
"minCalls30d",
"percent"
],
"type": "object"
},
"type": "array"
}
},
"type": "object"
},
"provider": {
"properties": {
"category": {
"enum": [
"FINANCIAL_ANALYSIS",
"DATA_ENRICHMENT",
"INFRASTRUCTURE",
"WEB_SEARCH_RESEARCH",
"SOCIAL_INTELLIGENCE",
"PREDICTION_MARKETS",
"CREATIVE"
],
"type": "string"
},
"description": {
"type": "string"
},
"docsUrl": {
"type": "string"
},
"name": {
"type": "string"
},
"tags": {
"items": {
"type": "string"
},
"type": "array"
},
"website": {
"type": "string"
}
},
"required": [
"name",
"category"
],
"type": "object"
},
"reliability": {
"properties": {
"measuredAt": {
"type": "string"
},
"p50LatencyMs": {
"type": [
"integer",
"null"
]
},
"p95LatencyMs": {
"type": [
"integer",
"null"
]
},
"sampleSize": {
"type": "integer"
},
"successRatePercent": {
"type": "number"
},
"windowDays": {
"type": "integer"
}
},
"required": [
"successRatePercent",
"sampleSize",
"windowDays"
],
"type": "object"
}
},
"required": [
"input"
],
"type": "object"
}
}
},
"lastUpdated": "2026-10-08T06:09:52.56Z",
"quality": {
"l30DaysTotalCalls": 2,
"l30DaysUniquePayers": 2,
"lastCalledAt": "2026-10-08T06:09:52.315Z"
},
"resource": "https://agentbit.app/v1/content/keywords",
"type": "http",
"x402Version": 2
},
"source": "x402_bazaar",
"summary": "Extract the top keywords and key phrases from text (frequency, stopword-filtered) plus structured entities by pattern — emails, URLs, @mentions, #hashtags, phones, money, dates and 0x crypto addresses. Offline, key-less, $0.002."
}What the leaf hashes
{"body":"8a0680b768059757df7ea65e38772d7acca6579933bc6ef49cf53c4cd76f0263","id":62281,"kind":"listing","method":"baseline/1","observed_us":1793025452721171,"prev":null,"subject":"x402_bazaar:https://agentbit.app/v1/content/keywords","subject_kind":"source_record"}Proof
Its day has not closed yet. A day closes ten minutes after midnight UTC; the proof appears here then.