Agentictotem
Extracts structured JSON data from web URLs according to a supplied JSON schema, charging per URL in USDC.
not read yet
Use
- Price
- Price not read
- Activity
- Activity not read yet
- Company
- founding year not on record
- Runs as
- API
- MCP servercom.agentictotem/web-extractorverified in the MCP registry
- Stateanswers, 1 toolschecked 2026-10-14
- Address to connectagentictotem.com/mcp
- OpenAPI spec1 pathsthe spec ↗
- MCP docsagentictotem.com/docs/mcpthe vendor's page ↗
Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.
Figure and bar: visits/mo, estimate · year: online since
- #1
Affinda
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1.2kActiveFree plan2013 - #2
fileAI AI OCR
Extracts and validates structured data from enterprise files, then routes outputs to workflows and AI agents.
724ActiveFree plan - #3
Datastory
Creates interactive data visualizations and narratives from uploaded or open data with AI-suggested charts.
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Fraoula Data Auditor
Detects schema drift and data anomalies in pipelines before corrupt records reach warehouses.
86Active—2023 - #5
DocuPanda
Extracts structured data from variable-layout documents using schema-controlled processing and policy-based decisioning.
68Active— - #6
Accelerant
Transforms enterprise data into actionable insights and business decisions using data science and AI.
46MaintainedFree plan
What is Agentictotem?
Extracts structured JSON data from web URLs according to a supplied JSON schema, charging per URL in USDC. It is listed in the Atlas under Analytics.
Do people use Agentictotem?
Little sign of use.
What are alternatives to Agentictotem?
In Analytics, by use: Affinda, fileAI AI OCR, Datastory, Fraoula Data Auditor, DocuPanda, Accelerant.
Not quite it? Describe the job
betaFive tools from the Atlas that fit it, each judged against what you wrote.
How we read a tool
No votes, no reviews, no vendor claims. Every week a crawler reads each tool's own site and a few public registries, and the words on the card are bands over what it read.
- Use: visits to the site (estimated), installs from npm and PyPI, presence in Chrome's usage report.
- Activity: the newest release on GitHub, npm or PyPI; the newest dated page on the site; open roles on a public jobs board.
- Price: the vendor's own pricing page, read with the date. A figure is printed only when it is on that page.
- The line and the use cases are written by us from the homepage, one tool at a time, and refused when they repeat the vendor's marketing.
How AI assistants read each site — the reading vendors ask us about — is on each tool's own visibility page.