fetchweb.net via a single DNS TXT record to add the
verified by owner badge, embed an Agenstry badge on your README, and earn back the missing conformance points listed below.
Dispute or improve this rating
F
Conformance score: 34/100
F-grade: card is reachable but fails most operational signals.
click to expand breakdown ▾
click to collapse breakdown ▴
Activity (audit trail)
last 24h · 0 invocations 100.0% success Public aggregate · no PII recordedPer event type (7d)
Recent events (last 20)
| When | Event | Method | Status | Latency |
|---|---|---|---|---|
| 2026-09-08T20:30:32 | search_impression | — |
200 ok | — |
Endpoints
| Endpoint | Price | Currency |
|---|---|---|
https://fetchweb.net/api/public/extract
|
0.002 | USDC |
https://fetchweb.net/api/public/extract-and-optimize
|
0.004 | USDC |
https://fetchweb.net/api/public/metadata
|
0.001 | USDC |
https://fetchweb.net/api/public/optimize
|
0.0015 | USDC |
0x399676fba6adb69634270b745e8097348cca6af2 · basescan ↗
eth_getLogs on USDC Transfer events to the payment wallet.
concentrated_payers
3/5
Payer identities observed; volume is concentrated in a small number of payers.
short_observation_window —
Fewer than three active days observed — too little history to characterise a pattern.
daily_volume_aggregate, active_day_cadence, amount_regularity, spike_concentration, settlement_wallet_overlap, payer_uniqueness, payer_concentration, payer_recurrence, payer_payee_overlap.
Derived from agent_revenue_daily, agents.payment_wallet, agent_payment_transactions.
Measured 2026-09-08.
get_agent_full and
payment_intelligence skills
on REST, A2A and MCP. API docs →
| Agent card | https://fetchweb.net |
| Provider | https://fetchweb.net |
| Docs | https://fetchweb.net |
Health · last 0 probes
Who's calling this agent 30d
1 interactions captured (impressions + lookups + A2A calls)
rest
1
Public teaser: top-3 per dimension only. Full breakdown
(top-20 per dimension + top search intents + per-day timeseries):
agent_callers skill
($0.05/call, $0 on
Enterprise).
Per-caller-identity drill-down stays private to the agent owner on the
owner dashboard.
Similar agents embedding-nearest
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Markdown / HTML snippets
[](https://agenstry.com/agents/fetchweb.net) [](https://agenstry.com/agents/fetchweb.net) [](https://agenstry.com/agents/fetchweb.net) [](https://agenstry.com/agents/fetchweb.net)
Audit-grade evidence bundle
JSON snapshot for vendor-review files. Add ?sign=true for a JWS-signed envelope verifiable against
our JWKS. See the methodology.
Raw agent card JSON
{
"_source": "agentic.market",
"service": {
"id": "fetchweb-net",
"name": "fetchweb.net",
"description": "",
"domain": "fetchweb.net",
"provider": "fetchweb.net",
"providerUrl": "",
"category": "",
"networks": [
"Base"
],
"enriched": false,
"endpoints": [
{
"url": "https://fetchweb.net/api/public/extract",
"description": "Structured extraction of one web page: title, description, headings, clean main text, markdown, links and images.",
"pricing": {
"amount": "0.002",
"currency": "USDC",
"network": "eip155:8453",
"scheme": "exact",
"maxAmount": "",
"minAmount": ""
},
"method": "",
"providerName": "",
"parameters": [],
"serviceName": "",
"tags": [],
"quality": {
"l30DaysTotalCalls": "1",
"l30DaysUniquePayers": "1"
}
},
{
"url": "https://fetchweb.net/api/public/extract-and-optimize",
"description": "Fetch a URL and return context already fitted to your token budget, with token counts and an omission manifest.",
"pricing": {
"amount": "0.004",
"currency": "USDC",
"network": "eip155:8453",
"scheme": "exact",
"maxAmount": "",
"minAmount": ""
},
"method": "",
"providerName": "",
"parameters": [],
"serviceName": "",
"tags": [],
"quality": {
"l30DaysTotalCalls": "1",
"l30DaysUniquePayers": "1"
}
},
{
"url": "https://fetchweb.net/api/public/metadata",
"description": "FetchWeb provides pay-per-call web metadata for AI agents. Use FetchWeb to quickly inspect a URL \u2014 title, description, canonical URL, language and estimated token size \u2014 before performing web extraction, web research or LLM processing, so an agent can judge whether a page is relevant.",
"pricing": {
"amount": "0.001",
"currency": "USDC",
"network": "eip155:8453",
"scheme": "exact",
"maxAmount": "",
"minAmount": ""
},
"method": "POST",
"providerName": "",
"parameters": [
{
"group": "body",
"name": "url",
"type": "string",
"description": "",
"example": "https://example.com/docs/api",
"enumValues": [],
"default": null,
"required": false
}
],
"serviceName": "",
"tags": [],
"quality": {
"l30DaysTotalCalls": "2",
"l30DaysUniquePayers": "1"
}
},
{
"url": "https://fetchweb.net/api/public/optimize",
"description": "Fit caller-supplied markdown, HTML or plain text to a token budget: structure-aware reduction with an omission manifest.",
"pricing": {
"amount": "0.0015",
"currency": "USDC",
"network": "eip155:8453",
"scheme": "exact",
"maxAmount": "",
"minAmount": ""
},
"method": "",
"providerName": "",
"parameters": [],
"serviceName": "",
"tags": [],
"quality": {
"l30DaysTotalCalls": "1",
"l30DaysUniquePayers": "1"
}
}
],
"integrationType": "",
"isNew": false,
"priceSummary": {
"minAmount": "0.001",
"maxAmount": "0.004",
"avgCostPerTransaction": "0.002125",
"avgCostBasis": "exact",
"currency": "USDC"
},
"serviceName": "",
"tags": [],
"iconUrl": ""
}
}