x402.monpham.work 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 ▴
agent-card.json changed within the last 7 days. We track these so downstream callers can react.
Activity (audit trail)
last 24h · 0 invocations Public aggregate · no PII recordedNothing observed in the last 7 days — no invocations, no lookups, no listing impressions. Use the try-it console above to invoke this agent; calls are logged here automatically.
Endpoints
| Endpoint | Price | Currency |
|---|---|---|
https://x402.monpham.work/v1/cbs/chat/completions
|
0.01 | USDC |
https://x402.monpham.work/v1/luna/chat/completions
|
0.003 | USDC |
https://x402.monpham.work/v1/sol/chat/completions
|
0.06 | USDC |
https://x402.monpham.work/v1/terra/chat/completions
|
0.025 | USDC |
0x7eebd75b116a553e02cbaca28cfbd47bc411e6b1 · basescan ↗
eth_getLogs on USDC Transfer events to the payment wallet.
single_payer_observed
2/5
Payer identities observed; a single payer accounts for effectively all observed volume.
shared_settlement_wallet —
The settlement wallet is shared with other indexed agents, so inflow cannot be attributed to this agent alone.
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 2026-08-21.
get_agent_full and
payment_intelligence skills
on REST, A2A and MCP. API docs →
| Agent card | https://x402.monpham.work |
| Provider | https://x402.monpham.work |
| Docs | https://x402.monpham.work |
Health · last 0 probes
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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": "x402-monpham-work",
"name": "x402.monpham.work",
"description": "",
"domain": "x402.monpham.work",
"provider": "x402.monpham.work",
"providerUrl": "",
"category": "",
"networks": [
"Base",
"solana:5eykt4usfv8p8njdtrepy1vzqkqzkvdp"
],
"enriched": false,
"endpoints": [
{
"url": "https://x402.monpham.work/v1/cbs/chat/completions",
"description": "Search products across China B2B wholesale marketplaces (Yiwugo, Made-in-China, DHgate) via a stealth browser farm. Returns structured products: title, price, MOQ, supplier, images (optional CDN URLs). POST with {keyword, siteIds, limitPerSite, saveMedia}. Best for B2B sourcing, price comparison, and dropshipping research.",
"pricing": {
"amount": "0.01",
"currency": "USDC",
"network": "eip155:8453",
"scheme": "exact",
"maxAmount": "",
"minAmount": ""
},
"method": "POST",
"providerName": "",
"parameters": [
{
"group": "body",
"name": "max_tokens",
"type": "number",
"description": "",
"example": 200,
"enumValues": [],
"default": null,
"required": false
},
{
"group": "body",
"name": "messages",
"type": "array",
"description": "",
"example": [],
"enumValues": [],
"default": null,
"required": false
},
{
"group": "body",
"name": "model",
"type": "string",
"description": "",
"example": "cbs-search",
"enumValues": [],
"default": null,
"required": false
},
{
"group": "body",
"name": "stream",
"type": "boolean",
"description": "",
"example": false,
"enumValues": [],
"default": null,
"required": false
},
{
"group": "body",
"name": "temperature",
"type": "number",
"description": "",
"example": 0.7,
"enumValues": [],
"default": null,
"required": false
}
],
"serviceName": "",
"tags": [],
"quality": {
"l30DaysTotalCalls": "3",
"l30DaysUniquePayers": "1"
}
},
{
"url": "https://x402.monpham.work/v1/luna/chat/completions",
"description": "GPT-5.6 Luna \u2014 fast, low-cost frontier model (Artificial Analysis Intelligence Index 51.2, GPQA Diamond 91.1%). Best for high-volume chat, classification, extraction, and lightweight agentic loops where latency and cost matter. Limits: 8K input / 2K output tokens per call. OpenAI-compatible request and response format.",
"pricing": {
"amount": "0.003",
"currency": "USDC",
"network": "eip155:8453",
"scheme": "exact",
"maxAmount": "",
"minAmount": ""
},
"method": "GET",
"providerName": "",
"parameters": [],
"serviceName": "",
"tags": [],
"quality": {
"l30DaysTotalCalls": "2",
"l30DaysUniquePayers": "2"
}
},
{
"url": "https://x402.monpham.work/v1/sol/chat/completions",
"description": "GPT-5.6 Sol \u2014 flagship frontier model, the most capable tier in the GPT-5.6 family. Best for hard reasoning, complex multi-file code work, long-context analysis, and tasks where accuracy outweighs cost. Limits: 24K input / 4K output tokens per call. OpenAI-compatible request and response format.",
"pricing": {
"amount": "0.06",
"currency": "USDC",
"network": "eip155:8453",
"scheme": "exact",
"maxAmount": "",
"minAmount": ""
},
"method": "POST",
"providerName": "",
"parameters": [
{
"group": "body",
"name": "max_tokens",
"type": "number",
"description": "",
"example": 1024,
"enumValues": [],
"default": null,
"required": false
},
{
"group": "body",
"name": "messages",
"type": "array",
"description": "",
"example": [],
"enumValues": [],
"default": null,
"required": false
},
{
"group": "body",
"name": "model",
"type": "string",
"description": "",
"example": "gpt-5.6-sol",
"enumValues": [],
"default": null,
"required": false
},
{
"group": "body",
"name": "stream",
"type": "boolean",
"description": "",
"example": false,
"enumValues": [],
"default": null,
"required": false
},
{
"group": "body",
"name": "temperature",
"type": "number",
"description": "",
"example": 0.7,
"enumValues": [],
"default": null,
"required": false
}
],
"serviceName": "",
"tags": [],
"quality": {
"l30DaysTotalCalls": "2",
"l30DaysUniquePayers": "1"
}
},
{
"url": "https://x402.monpham.work/v1/terra/chat/completions",
"description": "GPT-5.6 Terra \u2014 balanced frontier model (Intelligence Index 55.0, GPQA Diamond 92.5%, Terminal-Bench Hard 57.6%). Best for everyday coding, multi-step reasoning, and agentic tasks needing more capability than Luna without Sol's cost. Limits: 16K input / 4K output tokens per call. OpenAI-compatible request and response format.",
"pricing": {
"amount": "0.025",
"currency": "USDC",
"network": "eip155:8453",
"scheme": "exact",
"maxAmount": "",
"minAmount": ""
},
"method": "GET",
"providerName": "",
"parameters": [],
"serviceName": "",
"tags": [],
"quality": {
"l30DaysTotalCalls": "1",
"l30DaysUniquePayers": "1"
}
}
],
"integrationType": "",
"isNew": false,
"priceSummary": {
"minAmount": "0.003",
"maxAmount": "0.06",
"avgCostPerTransaction": "0.0245",
"avgCostBasis": "exact",
"currency": "USDC"
},
"serviceName": "",
"tags": [],
"iconUrl": ""
}
}