AgenticSchema – Turn structured web data (Schema.org) into MCP tools is a skill AI agent for To turn structured data from web pages into actionable tools that AI agents can use for tasks like data filling or decision-making. Pricing: Usage-based. As of 2026-10-22, KanonAgent records 2 upvotes. First indexed by KanonAgent on 2026-08-17.
A tool that converts structured web data (like product and event details) into callable AI agent tools using Schema.org standards.
2 upvotes
Tracked by Kanon since Aug 17, 2026
Status basis: npm_downloads_7d momentum fell to -18 per 3d from 25 (<= 40% of the prior window)
📈 Timelinewhat changed, and when
- Cooling npm_downloads_7d momentum fell to -18 per 3d from 25 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -11 per 3d from 26 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 0 per 3d from 19 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 25 in the last 3d vs 1 in the 3d before (ratio 25.0x, threshold 1.5x)
- Cooling npm_downloads_7d momentum fell to 7 per 3d from 19 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 26 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Accelerating npm_downloads_7d gained 19 in the last 3d vs 5 in the 3d before (ratio 3.8x, threshold 1.5x)
- Accelerating npm_downloads_7d gained 19 in the last 3d vs 5 in the 3d before (ratio 3.8x, threshold 1.5x)
- Cooling npm_downloads_7d momentum fell to -7 per 3d from 18 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -24 per 3d from 30 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 9 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Cooling npm_downloads_7d momentum fell to -21 per 3d from 30 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 18 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Accelerating npm_downloads_7d gained 30 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Anomaly daily change -26.0 is -4.1 standard deviations from this entity's own prior mean (-3.2±5.5, baseline excludes this point) — unusual, not necessarily adoption
- Accelerating npm_downloads_7d gained 30 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Anomaly daily change -26.0 is -4.1 standard deviations from this entity's own prior mean (-3.2±5.5, baseline excludes this point) — unusual, not necessarily adoption
- Anomaly daily change -26.0 is -4.1 standard deviations from this entity's own prior mean (-3.2±5.5, baseline excludes this point) — unusual, not necessarily adoption
- Anomaly daily change -26.0 is -4.1 standard deviations from this entity's own prior mean (-3.2±5.5, baseline excludes this point) — unusual, not necessarily adoption
- Anomaly daily change -26.0 is -4.1 standard deviations from this entity's own prior mean (-3.2±5.5, baseline excludes this point) — unusual, not necessarily adoption
- Anomaly daily change -26.0 is -4.1 standard deviations from this entity's own prior mean (-3.2±5.5, baseline excludes this point) — unusual, not necessarily adoption
- Anomaly daily change 10.0 is 4.1 standard deviations from this entity's own prior mean (-4.7±3.5, baseline excludes this point) — unusual, not necessarily adoption
- first observed Kanon started keeping permanent history for this agent
🔎 Known / Unknown
11 of 23 fields unknown
| Machine-callable | — | unknown | — |
| Open source | 1 | inferred | 1 quote(s) |
| Self-hostable | 1 | inferred | 1 quote(s) |
| Bring your own key | — | unknown | — |
| Autonomy level | 2 | inferred | 1 quote(s) |
| Pricing model | — | unknown | — |
| Integrations | mcp | inferred | 1 quote(s) |
“Unknown” means we have not verified it — it is not a “no”. Hard filters never treat unknown as false.
🤖 Agent teardown · skill
Job to be doneTo turn structured data from web pages into actionable tools that AI agents can use for tasks like data filling or decision-making.
AutonomyL2 · tool-calling(evidence: "search_web_site is executable. An agent holding it queries O…")
Who it is forB2B SaaS companies and developers building AI agents
Prerequisitesopen source · self-hostable
Integrationsmcp
PricingUsage-based
Traction · why it is risingReceived 1 vote on ProductHunt, signaling niche interest in data integration for AI workflows.
Why it matters
It serves as a critical bridge between semantic web data and AI agent capabilities, enabling more accurate and context-aware automation.
Evidence quotesverbatim, from the product’s own materials
“public GitHub repository (README fetched)”— structural
“Run that page yourself. No browser, and no transport to configure: npx @agenticschema/server https://world.openfoodfacts.org/product/3017620422003”— readme
“search_web_site is executable. An agent holding it queries Open Food Facts directly”— readme
“emits Model Context Protocol tools”— readme
“npx @agenticschema/server https://world.openfoodfacts.org/product/3017620422003”— readme
“Turn the Schema.org markup a page already has into MCP tools an AI agent can call.”— readme
Signal source: Show HN
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FAQ
What is AgenticSchema?
A tool that converts structured web data (like product and event details) into callable AI agent tools using Schema.org standards.
What does AgenticSchema do?
To turn structured data from web pages into actionable tools that AI agents can use for tasks like data filling or decision-making.
Why does AgenticSchema matter?
It serves as a critical bridge between semantic web data and AI agent capabilities, enabling more accurate and context-aware automation.
How much does AgenticSchema cost?
Usage-based
Is AgenticSchema open source?
Yes — AgenticSchema is open source.
Can I self-host AgenticSchema?
Yes — AgenticSchema can be self-hosted.
What does AgenticSchema integrate with?
mcp
How popular is AgenticSchema?
As tracked by KanonAgent: 2 upvotes (first indexed 2026-08-17).
What are the best AgenticSchema alternatives?
Similar AI agents tracked by KanonAgent: Stealth Venture, archify, open-design, deer-flow, ruflo, career-ops.