DataSinking
Provides structured Markdown financial reports for listed companies in China, Korea, and Japan through a REST API and MCP server for AI assistants and develope…
What it does
The specific capability behind this listing, and where to get it.
DataSinking
Provides structured Markdown financial reports for listed companies in China, Korea, and Japan through a REST API and MCP server for AI assistants and develope…
Agentery has not yet captured structured capability detail for this provider.
Official DataSinking links
Pricing & plans
Observed public pricing for DataSinking, benchmarked against comparable providers. Plans, tiers, history and scenario below.
$2.58 /mo
This plan sits close to the market.
No monthly-comparable cohort to benchmark this plan against yet.
Why Agentery reaches that view
price_benchmarkNot monthly-comparable.
get_agent_profile · plan historyYearly observed 2026-09-03.
pricing recommendationPercentile unavailable for this basis.
confidenceSource page rechecked daily.
Test a different price for this plan.
Move the proposed monthly price. Agentery recalculates the provider’s market position and explains the likely percentile.
Is DataSinking good value?
How its price compares with genuinely comparable providers.
Not enough evidence yet to call it good — or poor — value.
Too few comparable providers at the same buyer tier and billing unit to benchmark this price honestly.
Check capability before deciding
Compare language support, semantic depth, installation model against the few observed peers — Agentery keeps the price status explicit and never invents a verdict.
DataSinking's local market
Nearest products by what they do. Local median $14.5/mo — DataSinking is 79% below it.
See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
"agent_id": "datasinking",
"name": "DataSinking",
"url": "https://datasink.ing/",
"logo": "https://www.google.com/s2/favicons?domain=datasink.ing&sz=128",
"niche": null,
"category": null,
"short_summary": "Provides structured Markdown financial reports for listed companies in China, Korea, and Japan through a REST API and MCP server for AI assistants and develope…",
"task_performed": "unclear",
"inputs_accepted": [],
"outputs_produced": [],
"integrations_available": [],
"protocols_or_interfaces": [],
"industry_fit": [],
"autonomy_level": "unclear",
"human_approval_needed": "unclear",
"pricing_model": "unclear",
"price": {
"observed": true,
"billing": "freemium",
"currency": "USD",
"lowest_monthly_usd": 2.58,
"monthly_usd": 2.58,
"headline": "Free tier, then from $2.58/mo",
"summary": "Free tier, then from $2.58/mo. DataSinking offers a free plan with limited API access and a $31 yearly plan with unrestricted access and higher quotas.",
"confidence": "high",
"source_url": "https://datasink.ing/pricing",
"checked_at": "2026-09-03T04:27:52.436Z",
"amount": 2.58,
"display": "From $2.58/mo",
"plans": [
{
"name": "Free",
"price": "$0 / forever",
"period": null,
"persona": "free",
"highlights": [
"Limited API calls at 1 req/s",
"Shared daily quota",
"All 7 exchanges",
"Full-text Markdown",
"REST API access"
],
"price_annual": null
},
{
"name": "Yearly",
"price": "$31 / year",
"period": "year",
"persona": "individual",
"highlights": [
"Full access for one year",
"API quota of 31 req/s",
"131,071 requests/day",
"All 7 exchanges",
"Batch download",
"Symbol-based query"
],
"price_annual": null
}
],
"source": "render+llm"
},
"trust_or_rating_signal": [],
"evidence_quality": "unclear",
"entity_type": "mcp_server",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://datasink.ing/"
],
"last_checked": null,
"how_to_connect": {
"website": "https://datasink.ing/",
"docs": null,
"mcp": null,
"a2a": null,
"api": null,
"protocols": []
},
"liveness": {
"probed": true,
"alive": true,
"endpoint_kind": "site",
"latency_ms": 451,
"uptime_7d": null,
"checked_at": "2026-09-03T02:32:38.454Z",
"consecutive_failures": 0,
"status": "alive"
},
"price_extras": {
"free_tier": null,
"unit_cost": null
},
"reported_success": null,
"feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}