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📊 Intel view 📋 Audit JSON 🔄 Changelog
60
💰 Paid API

df-data-agent.vercel.app

df-data-agent.vercel.app · df-data-agent.vercel.app
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Verify the domain df-data-agent.vercel.app 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.
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Compare public evidence

🔔 Watch this agent. Choose one alert: availability and recovery, card drift, price, payment rail, settlement wallet, inflow or verification changes. Add more alert types from your account. Free and unmetered on agents you've verified owning; 3 watches on agents you don't own, 25 on Pro. Sign in to watch
Trust score
60/100
grade C · 3 of 9 criteria apply
Uptime
not graded
catalogue listing · no agent card to probe
Observed inflow · 30d
not yet measured
wallet declared · scan pending
Invocations · 7d
0
no calls observed
Listing drift · 7d
stable
1 snapshot tracked
Owner
unverified
claim this listing →

Dispute or improve this rating

C
Conformance score: 60/100
Catalogue listing, not an A2A agent: a paid API listed by agentic.market. Scored on the 3 criteria that apply (24 of 40 points, scaled to 100); the A2A card criteria do not apply.
click to expand breakdown click to collapse breakdown
n/a Agent card n/a
Not applicable: a paid API listed by agentic.market. The host serves no A2A agent card at /.well-known/agent-card.json, so the card criteria are not scored.
partial Live endpoint 15/25
Our probe received an HTTP 402 payment challenge from the host: live, but paid.
n/a Protocol version n/a
Not applicable: no A2A agent card served.
n/a JWS signature n/a
Not applicable: no A2A agent card served.
n/a Uptime track record n/a
Not applicable: our probes looked for an A2A agent card, which this host does not serve. That says nothing about the API's availability, so it is not graded.
n/a Skill declaration n/a
Not applicable: no A2A agent card served.
partial Verified Identity 5/10
Provider declared: df-data-agent.vercel.app (https://df-data-agent.vercel.app). Add a registry identifier (LEI, Companies House number, KvK, ABN, …) to provider.legalEntity for full verified-business credit.
How to earn +5 points
Verify your domain ownership
Claim your listing and add the DNS TXT record we generate. Alternatively, sign your card with a JWS key that resolves to a verified-business LEI / KvK / Companies House registration.
Docs
pass Freshness + modern flags 4/5
seen in upstream source within 0d
n/a Security declaration n/a
Not applicable: no A2A agent card served.

Activity (audit trail)

last 24h · 0 invocations Public aggregate · no PII recorded

Nothing 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.

Listing history

1 snapshot Every change to the catalogue entry
Agent card snapshots
Captured Hash Snapshot
2026-10-22 17:25:57 current c3b97ebd4593… view →
Uptime
not graded
catalogue listing · no agent card to probe
Response
—
last direct probe
Skills
0
declared
Streaming
—
SSE-capable

Endpoints

Pricing x402 on Base USDC Verified live · 402 challenge Dispute or improve this rating
From $0.0100 per call
Endpoint Price Currency
https://df-data-agent.vercel.app/api/v1/macro/latest 0.01 USDC
https://df-data-agent.vercel.app/api/v1/insider/latest — USDC
https://df-data-agent.vercel.app/api/v1/insider/ticker — USDC
https://df-data-agent.vercel.app/api/v1/insider/clusters — USDC
https://df-data-agent.vercel.app/api/v1/predictions/top — USDC
https://df-data-agent.vercel.app/api/v1/predictions/search — USDC
https://df-data-agent.vercel.app/api/v1/predictions/movers — USDC
https://df-data-agent.vercel.app/api/v1/macro/series — USDC
https://df-data-agent.vercel.app/api/v1/macro/calendar — USDC
https://df-data-agent.vercel.app/api/v1/x402/overview — USDC
https://df-data-agent.vercel.app/api/v1/x402/services — USDC
https://df-data-agent.vercel.app/api/v1/x402/search — USDC
https://df-data-agent.vercel.app/api/v1/x402/trending — USDC
https://df-data-agent.vercel.app/api/v1/x402/pricing — USDC
Try it ↗ Opens the operator's playground / docs in a new tab.
Settlement wallet: 0x6641acbd22fe9a2285be51a2fab6cf2339912c6d on Base · basescan ↗
Listed by facilitators Coinbase CDP · 10
Observed on-chain inflow verified on-chain
Last 7d
$0.20
17 transfers · synced 2026-10-25
USDC inflows on Base. Reproducible via eth_getLogs on USDC Transfer events to the wallet. Inflow to a wallet, not proof that every transfer was a paid call.
How the last 30 days were settled
$0.20 in the ledger, not classified yet. Each transfer is read once to tell facilitator-settled x402 payments from plain transfers. How we classify
Cross-check: Coinbase's Bazaar reports 12 calls in 30 days to this wallet across 10 listed resources; our ledger observed 17 transfers (0 facilitator-settled) over 16 of 30 scanned days. Different counters; neither is assumed correct.
Payment authenticity evidence confidence How we measure this →
concentrated_payers 3/5

Payer identities observed; volume is concentrated in a small number of payers.

Assessed window
30d
2 active of 15 observed
Inflow assessed
$0.20
16 transactions
Payer identities
available
2 evidence caveats
single_day_concentration — Most observed volume landed on a single day of the window.
Checks run: 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 2026-10-25.
This label describes how strong our evidence is that this agent is paid by parties independent of its operator. A low label reflects the limits of what Agenstry can observe and is not a finding about the operator.
Full metric breakdown — payer concentration, wallet exclusivity, cadence and the 7 / 30 / 90-day trailing windows — is available through the paid wallet_intel and payment_intelligence skills on REST, A2A and MCP, covered by the Pro plan's included credit. API docs →
Agent cardhttps://df-data-agent.vercel.app
Providerhttps://df-data-agent.vercel.app
Docshttps://df-data-agent.vercel.app
Discovered via
agentic_market recrawl_paid

Health · last 1 probes

When HTTP Live JSON-RPC Latency
2026-10-22 17:35:32 404 — —

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Embed your Agenstry badge

Paste any of these into your README, agent card, or marketing page. Each badge auto-updates and links back to this page.

Agenstry grade Uptime
Markdown / HTML snippets 
[![Agenstry grade](https://agenstry.com/badge/df-data-agent.vercel.app.svg)](https://agenstry.com/agents/df-data-agent.vercel.app)
[![Verified Business](https://agenstry.com/badge/df-data-agent.vercel.app/identity.svg)](https://agenstry.com/agents/df-data-agent.vercel.app)
[![Uptime](https://agenstry.com/badge/df-data-agent.vercel.app/uptime.svg)](https://agenstry.com/agents/df-data-agent.vercel.app)
[![A2A version](https://agenstry.com/badge/df-data-agent.vercel.app/protocol.svg)](https://agenstry.com/agents/df-data-agent.vercel.app)

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.

audit.json audit.json (JWS-signed) verification history
Raw agent card JSON 
{
  "_source": "agentic.market",
  "service": {
    "id": "df-data-agent-vercel-app",
    "name": "df-data-agent.vercel.app",
    "description": "",
    "domain": "df-data-agent.vercel.app",
    "provider": "df-data-agent.vercel.app",
    "providerUrl": "",
    "category": "",
    "networks": [
      "Base"
    ],
    "enriched": false,
    "endpoints": [
      {
        "url": "https://df-data-agent.vercel.app/api/v1/insider/clusters",
        "description": "Stocks where several different insiders bought shares on the open market in the same window \u2014 one of the strongest public insider signals. Ranked by number of insiders and dollar value.",
        "pricing": {
          "amount": "0.05",
          "currency": "USDC",
          "network": "eip155:8453",
          "scheme": "exact",
          "maxAmount": "",
          "minAmount": ""
        },
        "method": "GET",
        "providerName": "",
        "parameters": [
          {
            "group": "query",
            "name": "days",
            "type": "number",
            "description": "",
            "example": 14,
            "enumValues": [],
            "default": null,
            "required": false
          },
          {
            "group": "query",
            "name": "min_insiders",
            "type": "number",
            "description": "",
            "example": 2,
            "enumValues": [],
            "default": null,
            "required": false
          }
        ],
        "serviceName": "DF Market Intelligence",
        "tags": [
          "stocks",
          "insider-trading",
          "signals",
          "trading",
          "alpha"
        ],
        "quality": {
          "l30DaysTotalCalls": "1",
          "l30DaysUniquePayers": "1"
        }
      },
      {
        "url": "https://df-data-agent.vercel.app/api/v1/insider/latest",
        "description": "Most recent SEC Form 4 insider transactions (US stocks), parsed to clean JSON within minutes of filing. Filter by type (P=open-market buy, S=sale) and minimum dollar value.",
        "pricing": {
          "amount": "0.01",
          "currency": "USDC",
          "network": "eip155:8453",
          "scheme": "exact",
          "maxAmount": "",
          "minAmount": ""
        },
        "method": "GET",
        "providerName": "",
        "parameters": [
          {
            "group": "query",
            "name": "limit",
            "type": "number",
            "description": "",
            "example": 50,
            "enumValues": [],
            "default": null,
            "required": false
          },
          {
            "group": "query",
            "name": "min_value",
            "type": "number",
            "description": "",
            "example": 100000,
            "enumValues": [],
            "default": null,
            "required": false
          },
          {
            "group": "query",
            "name": "type",
            "type": "string",
            "description": "",
            "example": "P",
            "enumValues": [],
            "default": null,
            "required": false
          }
        ],
        "serviceName": "DF Market Intelligence",
        "tags": [
          "stocks",
          "insider-trading",
          "sec",
          "form4",
          "finance"
        ],
        "quality": {
          "l30DaysTotalCalls": "1",
          "l30DaysUniquePayers": "1"
        }
      },
      {
        "url": "https://df-data-agent.vercel.app/api/v1/macro/calendar",
        "description": "Upcoming US economic data releases (CPI, jobs report, GDP, etc.) for the next N days.",
        "pricing": {
          "amount": "0.005",
          "currency": "USDC",
          "network": "eip155:8453",
          "scheme": "exact",
          "maxAmount": "",
          "minAmount": ""
        },
        "method": "GET",
        "providerName": "",
        "parameters": [
          {
            "group": "query",
            "name": "days",
            "type": "number",
            "description": "",
            "example": 14,
            "enumValues": [],
            "default": null,
            "required": false
          }
        ],
        "serviceName": "DF Market Intelligence",
        "tags": [
          "macro",
          "calendar",
          "economics",
          "events"
        ],
        "quality": {
          "l30DaysTotalCalls": "2",
          "l30DaysUniquePayers": "2"
        }
      },
      {
        "url": "https://df-data-agent.vercel.app/api/v1/macro/latest",
        "description": "Latest value, change and year-over-year % for 24 key US indicators: CPI, core CPI, PCE, payrolls, unemployment, jobless claims, Fed funds, 2y/10y/30y yields, curve, mortgages, GDP, M2, Fed balance sheet, dollar index.",
        "pricing": {
          "amount": "0.01",
          "currency": "USDC",
          "network": "eip155:8453",
          "scheme": "exact",
          "maxAmount": "",
          "minAmount": ""
        },
        "method": "GET",
        "providerName": "",
        "parameters": [],
        "serviceName": "DF Market Intelligence",
        "tags": [
          "macro",
          "economics",
          "inflation",
          "rates",
          "fred"
        ],
        "quality": {
          "l30DaysTotalCalls": "1",
          "l30DaysUniquePayers": "1"
        }
      },
      {
        "url": "https://df-data-agent.vercel.app/api/v1/predictions/movers",
        "description": "Markets whose implied probability moved the most in the last 24h \u2014 what the crowd suddenly changed its mind about. Filtered by minimum volume.",
        "pricing": {
          "amount": "0.01",
          "currency": "USDC",
          "network": "eip155:8453",
          "scheme": "exact",
          "maxAmount": "",
          "minAmount": ""
        },
        "method": "GET",
        "providerName": "",
        "parameters": [
          {
            "group": "query",
            "name": "limit",
            "type": "number",
            "description": "",
            "example": 25,
            "enumValues": [],
            "default": null,
            "required": false
          },
          {
            "group": "query",
            "name": "min_volume",
            "type": "number",
            "description": "",
            "example": 10000,
            "enumValues": [],
            "default": null,
            "required": false
          }
        ],
        "serviceName": "DF Market Intelligence",
        "tags": [
          "prediction-markets",
          "movers",
          "news",
          "signals",
          "forecasting"
        ],
        "quality": {
          "l30DaysTotalCalls": "1",
          "l30DaysUniquePayers": "1"
        }
      },
      {
        "url": "https://df-data-agent.vercel.app/api/v1/predictions/top",
        "description": "Highest-volume live prediction markets across Polymarket and Kalshi with implied probabilities, 24h change, volume and close time. Refreshed every 15 minutes.",
        "pricing": {
          "amount": "0.005",
          "currency": "USDC",
          "network": "eip155:8453",
          "scheme": "exact",
          "maxAmount": "",
          "minAmount": ""
        },
        "method": "GET",
        "providerName": "",
        "parameters": [
          {
            "group": "query",
            "name": "limit",
            "type": "number",
            "description": "",
            "example": 25,
            "enumValues": [],
            "default": null,
            "required": false
          }
        ],
        "serviceName": "DF Market Intelligence",
        "tags": [
          "prediction-markets",
          "polymarket",
          "kalshi",
          "probabilities",
          "events"
        ],
        "quality": {
          "l30DaysTotalCalls": "1",
          "l30DaysUniquePayers": "1"
        }
      },
      {
        "url": "https://df-data-agent.vercel.app/api/v1/x402/overview",
        "description": "State of the x402 agent economy from the full Bazaar catalogue: services, endpoints, 30-day paid calls, estimated USDC volume, demand by category, network mix, top services, and how much volume comes from a handful of wallets (concentrated / likely self-traffic). Refreshed every cycle.",
        "pricing": {
          "amount": "0.01",
          "currency": "USDC",
          "network": "eip155:8453",
          "scheme": "exact",
          "maxAmount": "",
          "minAmount": ""
        },
        "method": "GET",
        "providerName": "",
        "parameters": [],
        "serviceName": "DF Market Intelligence",
        "tags": [
          "x402",
          "agent-economy",
          "analytics",
          "market-intelligence",
          "bazaar"
        ],
        "quality": {
          "l30DaysTotalCalls": "1",
          "l30DaysUniquePayers": "1"
        }
      },
      {
        "url": "https://df-data-agent.vercel.app/api/v1/x402/pricing",
        "description": "What paid agent APIs cost, per category: 25th/50th/75th percentile price, free share, and the median price of endpoints that actually get paid calls. For sellers setting prices and buyers checking value.",
        "pricing": {
          "amount": "0.01",
          "currency": "USDC",
          "network": "eip155:8453",
          "scheme": "exact",
          "maxAmount": "",
          "minAmount": ""
        },
        "method": "GET",
        "providerName": "",
        "parameters": [],
        "serviceName": "DF Market Intelligence",
        "tags": [
          "x402",
          "pricing",
          "benchmarks",
          "agent-economy"
        ],
        "quality": {
          "l30DaysTotalCalls": "1",
          "l30DaysUniquePayers": "1"
        }
      },
      {
        "url": "https://df-data-agent.vercel.app/api/v1/x402/services",
        "description": "Ranked x402 services (by 30-day calls, unique payers or estimated revenue) with endpoint count, median price, networks and a concentration flag that filters out services whose volume comes from fewer than 5 wallets. Filter by category.",
        "pricing": {
          "amount": "0.01",
          "currency": "USDC",
          "network": "eip155:8453",
          "scheme": "exact",
          "maxAmount": "",
          "minAmount": ""
        },
        "method": "GET",
        "providerName": "",
        "parameters": [
          {
            "group": "query",
            "name": "limit",
            "type": "number",
            "description": "",
            "example": 50,
            "enumValues": [],
            "default": null,
            "required": false
          }
        ],
        "serviceName": "DF Market Intelligence",
        "tags": [
          "x402",
          "agent-economy",
          "rankings",
          "competitive-intelligence",
          "bazaar"
        ],
        "quality": {
          "l30DaysTotalCalls": "2",
          "l30DaysUniquePayers": "2"
        }
      },
      {
        "url": "https://df-data-agent.vercel.app/api/v1/x402/trending",
        "description": "Which x402 services gained or lost the most paid calls versus N days ago, plus new entrants \u2014 built from our daily snapshots of the whole catalogue.",
        "pricing": {
          "amount": "0.02",
          "currency": "USDC",
          "network": "eip155:8453",
          "scheme": "exact",
          "maxAmount": "",
          "minAmount": ""
        },
        "method": "GET",
        "providerName": "",
        "parameters": [
          {
            "group": "query",
            "name": "days",
            "type": "number",
            "description": "",
            "example": 7,
            "enumValues": [],
            "default": null,
            "required": false
          },
          {
            "group": "query",
            "name": "limit",
            "type": "number",
            "description": "",
            "example": 20,
            "enumValues": [],
            "default": null,
            "required": false
          }
        ],
        "serviceName": "DF Market Intelligence",
        "tags": [
          "x402",
          "agent-economy",
          "trends",
          "movers",
          "competitive-intelligence"
        ],
        "quality": {
          "l30DaysTotalCalls": "1",
          "l30DaysUniquePayers": "1"
        }
      }
    ],
    "integrationType": "",
    "isNew": false,
    "priceSummary": {
      "minAmount": "0.005",
      "maxAmount": "0.05",
      "avgCostPerTransaction": "0.014",
      "avgCostBasis": "exact",
      "currency": "USDC"
    },
    "serviceName": "DF Market Intelligence",
    "tags": [
      "agent-economy",
      "alpha",
      "analytics",
      "bazaar",
      "benchmarks",
      "calendar",
      "competitive-intelligence",
      "economics",
      "events",
      "finance",
      "forecasting",
      "form4",
      "fred",
      "inflation",
      "insider-trading",
      "kalshi",
      "macro",
      "market-intelligence",
      "movers",
      "news"
    ],
    "iconUrl": "",
    "_truncated": {
      "tags": 32
    },
    "_digest": {
      "tags": "a54826ddeba510b1e77435f02998d71876230c37ea6a9f001da71b7a57b57abb"
    }
  }
}