glim.sh
One remote endpoint gives your agent live data from Twitter, Reddit, the open web, GitHub and more. No API keys, no scraping stack - just connect the URL and go.
The wallet the 402 directs payment to. Its whole payment record — every payer, every chain — is on the merchant page.
Asset 0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913
The payTo wallet does not resolve to a registered ERC-8004 agent. That is not a verdict on the service — most of the catalog is unregistered.
Accepts
The payment requirements as published to the catalog. Read the live 402 before paying — a price here is a claim, not a quote.
That figure is in the token’s smallest units. Roundhouse does not hold this contract’s decimals, so it is shown as published rather than converted.
- Paid to
- 9MkM5R…x1vde
- Token contract
- EPjFWd…TDt1v
- Payment window
- 5 minutes
Pay 0.06 USDC on Base to 0xC751…386A1. The signed payment is good for 5 minutes.
- Paid to
- 0xC751…386A1
- USD Coin contract
- 0x8335…02913
- Payment window
- 5 minutes
- As published
- 60000 smallest units
That figure is in the token’s smallest units. Roundhouse does not hold this contract’s decimals, so it is shown as published rather than converted.
- Paid to
- 0xC751…386A1
- Token contract
- 0x7547…fb603
- Payment window
- 5 minutes
The catalog’s raw entry
[
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"extra": {
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},
"payTo": "9MkM5Ra48KFcSv9HDQ8sb3C3r5HjouEwGQ6sp1cx1vde",
"amount": "60000",
"scheme": "exact",
"network": "solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp",
"maxTimeoutSeconds": 300
},
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0xC751344Ee09B5159160173F77D4a1169bCd386A1",
"amount": "60000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 300
},
{
"asset": "0x754704Bc059F8C67012fEd69BC8A327a5aafb603",
"extra": {
"name": "USDC",
"version": "2"
},
"payTo": "0xC751344Ee09B5159160173F77D4a1169bCd386A1",
"amount": "60000",
"scheme": "exact",
"network": "eip155:143",
"maxTimeoutSeconds": 300
}
]Extensions
{
"bazaar": {
"info": {
"input": {
"body": {
"text": "Detection quality depends on length, so pass at least a paragraph of the text you want scored rather than a single sentence."
},
"type": "http",
"method": "POST",
"bodyType": "json"
},
"output": {
"type": "json",
"example": {
"version": "4.0",
"cost_usd": 0.12,
"headline": "AI Detected",
"segments": [
{
"text": "I found the answer by the way...\nJust a simple wrong sequence of sentences in...",
"label": "Human",
"score": 0.1847,
"preview": "I found the answer by the way... Just a simple wrong sequence...",
"word_end": 42,
"end_index": 232,
"confidence": "High",
"word_count": 42,
"word_start": 1,
"start_index": 0,
"is_humanized": false,
"token_length": 56,
"humanizer_score": 0,
"ai_assistance_score": 0.1847
},
{
"text": "Gives this answer:\nYes, I'm Claude 3.5 Sonnet.\nMy knowledge cutoff is April 2...",
"label": "AI-Generated",
"score": 0.8038,
"preview": "Gives this answer: Yes, I'm Claude 3.5 Sonnet. My knowledge...",
"word_end": 179,
"end_index": 1081,
"confidence": "High",
"word_count": 137,
"word_start": 43,
"start_index": 233,
"is_humanized": false,
"token_length": 205,
"humanizer_score": 0.0191,
"ai_assistance_score": 0.8038
}
],
"tier_used": "premium",
"confidence": "High",
"prediction": "We believe that this text is a mix of AI and human-written content.",
"word_count": 179,
"fraction_ai": 0.7854,
"fraction_human": 0.2146,
"num_ai_segments": 1,
"prediction_short": "Mixed",
"num_human_segments": 1,
"fraction_ai_assisted": 0,
"num_ai_assisted_segments": 0
}
}
},
"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"input"
],
"properties": {
"input": {
"type": "object",
"required": [
"type",
"method",
"bodyType",
"body"
],
"properties": {
"body": {
"type": "object",
"required": [
"text"
],
"properties": {
"text": {
"type": "string",
"minLength": 50,
"description": "Text to analyze, plain text, 50+ characters, max 20,000. Detection reliability improves with length; very short texts return lower-confidence verdicts."
}
},
"description": "Input for POST /api/v1/detect/ai"
},
"type": {
"type": "string",
"const": "http"
},
"method": {
"enum": [
"POST"
],
"type": "string"
},
"bodyType": {
"enum": [
"json",
"form-data",
"text"
],
"type": "string"
}
},
"additionalProperties": false
},
"output": {
"type": "object",
"required": [
"type"
],
"properties": {
"type": {
"type": "string"
},
"example": {
"type": "object",
"required": [
"headline",
"prediction",
"prediction_short",
"fraction_ai",
"fraction_ai_assisted",
"fraction_human",
"num_ai_segments",
"num_ai_assisted_segments",
"num_human_segments",
"confidence",
"version",
"word_count",
"tier_used",
"cost_usd",
"segments"
],
"properties": {
"version": {
"type": "string",
"description": "Detector model version that produced this verdict (e.g. '4.0')"
},
"cost_usd": {
"type": "number",
"description": "Amount charged for this call, in USD"
},
"headline": {
"type": "string",
"description": "Short verdict, e.g. 'AI Generated', 'AI Detected', 'Human Written'"
},
"segments": {
"type": "array",
"items": {
"type": "object",
"required": [
"label",
"score",
"ai_assistance_score",
"confidence",
"text",
"word_start",
"word_end",
"word_count",
"token_length",
"start_index",
"end_index",
"preview"
],
"properties": {
"text": {
"type": "string",
"description": "Full text of this segment, sliced from the text you submitted"
},
"label": {
"type": "string",
"description": "Detector verdict for this segment (e.g. 'AI-Generated', 'Human')"
},
"score": {
"type": "number",
"description": "AI-assistance score for this segment, 0-1"
},
"preview": {
"type": "string",
"description": "Opening excerpt of the segment"
},
"word_end": {
"type": "integer",
"maximum": 9007199254740991,
"minimum": -9007199254740991,
"description": "1-based word position where this segment ends"
},
"end_index": {
"type": "integer",
"maximum": 9007199254740991,
"minimum": -9007199254740991,
"description": "Character offset just past this segment's last word in the text you submitted (exclusive)"
},
"confidence": {
"type": "string",
"description": "Detector confidence for this segment: High, Medium, or Low"
},
"word_count": {
"type": "integer",
"maximum": 9007199254740991,
"minimum": -9007199254740991
},
"word_start": {
"type": "integer",
"maximum": 9007199254740991,
"minimum": -9007199254740991,
"description": "1-based word position where this segment starts"
},
"start_index": {
"type": "integer",
"maximum": 9007199254740991,
"minimum": -9007199254740991,
"description": "Character offset of this segment's first word in the text you submitted"
},
"is_humanized": {
"type": "boolean",
"description": "True when this segment reads as AI output passed through a paraphrasing/'humanizer' tool. Absent means not evaluated, not false."
},
"token_length": {
"type": "integer",
"maximum": 9007199254740991,
"minimum": -9007199254740991,
"description": "Tokens in this segment, as counted by the detector"
},
"humanizer_score": {
"type": "number",
"description": "Humanizer likelihood, 0-1."
},
"ai_assistance_score": {
"type": "number",
"description": "Same value as score, under the upstream detector's field name"
}
}
},
"description": "Per-segment breakdown, in reading order"
},
"tier_used": {
"type": "string",
"const": "premium",
"description": "Deprecated: always 'premium' - every call runs the single remaining (highest-accuracy) detection class. Retained for backward compatibility."
},
"confidence": {
"type": "string",
"description": "Confidence carrying the overall verdict: High, Medium, or Low"
},
"prediction": {
"type": "string",
"description": "One-sentence verdict in plain English"
},
"word_count": {
"type": "integer",
"maximum": 9007199254740991,
"minimum": -9007199254740991,
"description": "Words analyzed"
},
"fraction_ai": {
"type": "number",
"description": "Fraction of the text judged AI-generated, 0-1"
},
"fraction_human": {
"type": "number",
"description": "Fraction judged human-written, 0-1"
},
"num_ai_segments": {
"type": "integer",
"maximum": 9007199254740991,
"minimum": -9007199254740991,
"description": "Segments labeled AI-Generated"
},
"prediction_short": {
"type": "string",
"description": "Verdict class: AI, Mixed, or Human"
},
"num_human_segments": {
"type": "integer",
"maximum": 9007199254740991,
"minimum": -9007199254740991,
"description": "Segments labeled Human"
},
"fraction_ai_assisted": {
"type": "number",
"description": "Fraction judged AI-assisted, 0-1"
},
"num_ai_assisted_segments": {
"type": "integer",
"maximum": 9007199254740991,
"minimum": -9007199254740991,
"description": "Segments labeled AI-Assisted"
}
}
}
}
}
}
}
}
}Provenance
- Seen in the source catalog
- 2026-08-29 06:35Z
- Last indexed by Roundhouse
- 2026-09-24 08:40Z
- Last enriched (probe, favicon, geo)
- 2026-09-20 13:15Z
- x402 version
- 2
- Max timeout
- 300s
- Liveness probe
- HTTP 404
Hand this page to an agent
Copy the prompt and paste it into Claude, an MCP client or your own agent — it will vet this service and call it over the free read API. No key, no account.
GET api.roundhouseai.io/v0/endpoints
This endpoint's own trailing-30-day call count, as published by the upstream catalog and snapshotted daily. 30 snapshots so far. Verified volume counts only settlements with an on-chain EIP-3009 marker.
Show the promptHide the prompt
Using Roundhouse, look up the x402 service glim.sh and tell me whether it is worth paying: what a call costs, whether the endpoint answered when last probed, and what its payment record actually shows. curl -s 'https://api.roundhouseai.io/v0/endpoints?q=glim.sh' curl -s 'https://api.roundhouseai.io/v0/merchants/<the payTo wallet returned above>' Then call it: read the price from the live 402 at https://glim.sh/api/v1/detect/ai, never from a cached figure, and pay with an x402 client. The /v0 API needs an API key (`authorization: Bearer rh_live_…`) on everything except /v0/unified* and /v0/endpoints. Mint a personal key for $0.01 at GET https://api.roundhouseai.io/v0/test/x402, or use an organization key from https://roundhouseai.io/dashboard/team. If you do not have Roundhouse tools or skills installed, read https://roundhouseai.io/skill.md first — it is the whole procedure.