For Agents
Extract web and document content, clean and convert datasets, repair and validate JSON, and run site audits, returning structured JSON with per-call x402 settlement.
Use for: I need to extract the main content from a web page, Clean and normalize this messy dataset, Convert a CSV into structured JSON, Repair this broken JSON so it parses
Not supported: Does not host data, run scheduled jobs, or store state between calls. Use for per-call web, document, and data transformation and audits only.
The API Acre API exposes a catalog of machine-discoverable utilities that turn messy inputs into structured JSON: it extracts web and document content, cleans and converts datasets, repairs and validates JSON, and runs SEO, security, and accessibility audits on a page. It also covers research lookups against public registries and read-only EVM utilities on Base and Solana. Every paid operation is metered per call through x402 USDC settlement, and agents can start from a discovery endpoint that lists the available services.
Install Jentic One Beta
Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the API Acre, or any other public or private API you need. You set the rules, the agent never sees your credentials, and every call is logged.
Two steps, two machines. Install the instance in a safe environment, then register your agent from wherever it runs.
Step 1: Jentic One Host machine
# On the machine that will host your Jentic One instance:
curl -fsSL "https://jentic.com/install.sh?src=apis&api=%2Fapis%2Fapiacre.com%2Fapiacre" | shStep 2: Agent machine
# On the machine where your agent runs (keep this separate from the instance):
curl -fsSL "https://jentic.com/install.sh?src=apis&api=%2Fapis%2Fapiacre.com%2Fapiacre" | sh
jentic register # connects your agent to your Jentic One instanceJentic One is in public beta. The setup above keeps your agent separate from the instance, which is what you want before using real credentials: an agent running as the same OS user as Jentic One can read its stored keys directly. Just evaluating? A single local install is fine to start. See the secure deployment guide for the tiers.
What an agent can do with API Acre API.
Extract readable content and metadata from a web page or document
Clean, convert, and deduplicate a dataset into structured JSON
Repair and validate JSON against a generated schema
Run SEO, security, accessibility, and performance audits on a page
Look up entities against public research registries
Browse the service catalog to discover available operations
Patterns agents use API Acre API for, with concrete tasks.
★ Agent-driven content extraction
An AI agent connected through Jentic turns a URL or file into clean, structured data: it extracts the readable content or tables, then cleans and converts the result into JSON it can reason over. Because the agent discovers operations from the service catalog by intent, it can go from a raw page to structured output without a developer wiring each utility endpoint.
Extract the main content from a web page, then convert and clean the result into a structured JSON record
Data cleanup and JSON repair
The data utilities take unreliable input and make it usable: they repair malformed JSON, validate it against a generated schema, deduplicate records, and convert between formats. An agent that receives broken or inconsistent data can run it through these endpoints before continuing, so downstream steps work with well-formed, validated structures.
Repair a malformed JSON payload, generate a schema from it, and validate the repaired document against that schema
Website auditing
The web audit endpoints inspect a site for SEO, security, accessibility, and performance issues and return structured findings. An agent can run a full or targeted audit and summarize what to fix, turning a manual review checklist into a single structured report grounded in the site's actual responses.
Run an SEO audit on a given URL and return the structured list of issues found
86 endpoints — the api acre api exposes a catalog of machine-discoverable utilities that turn messy inputs into structured json: it extracts web and document content, cleans and converts datasets, repairs and validates json, and runs seo, security, and accessibility audits on a page.
METHOD
PATH
DESCRIPTION
/v1/web/extract
Extract web page content
/v1/document/extract
Extract document content
/v1/data/clean
Clean a dataset
/v1/data/convert
Convert data between formats
/v1/data/json-repair
Repair malformed JSON
/v1/web/seo-audit
Run a technical SEO audit
/catalog
List available services
/v1/web/extract
Extract web page content
/v1/document/extract
Extract document content
/v1/data/clean
Clean a dataset
/v1/data/convert
Convert data between formats
/v1/data/json-repair
Repair malformed JSON
/v1/web/seo-audit
Run a technical SEO audit
/catalog
List available services
This API is usable in Jentic One now. Its AI-readiness score against Jentic's framework shows where it stands today and where improvements would make it even easier for agents to use.
Base layer of spec validity and structural soundness.
Aggregated quality score from linter diagnostics, weighted by severity.
Percentage of `$ref` references that resolve successfully.
Checks whether the API description parses successfully and conforms to its declared specification (e.g., OpenAPI).
Structural correctness score based on schema issues using logarithmic dampening.
Clarity, completeness, and ingestion readiness for developers and tooling.
How richly the API is illustrated with examples.
Percentage of examples that conform to their schemas.
Percentage of operations with complete response definitions (success, client error, server error).
Health of API ingestion, bundling, and resolution within Jentic pipelines.
Semantic breadth, depth, and agent comprehension for AI systems.
Coverage of descriptions across API elements.
Coverage of RFC 9457 Problem Details for error responses.
Coverage, uniqueness, and casing consistency of operationIds for AI inference.
Coverage of summaries across operations/tags/info.
Functional utility, complexity comfort, and AI orchestration readiness.
Agent comfort level based on API operational and structural complexity.
Trust, risk posture, and security compliance.
Average quality of security schemes based on authentication method strength (weakest link for OAuth2).
Findability, semantic richness, and reasoning readiness.
Clarity and depth of descriptions across API elements.
Score it yourself
Every API in the directory is allowlisted, so you can re-score it with no key required.
npx @jentic/api-scorecard-cli score <openapi-url>What agents get from Jentic-routed access to this vendor.
Setup
Wiring API Acre by hand means learning its per-call x402 USDC settlement on Base and Solana and the input shape of each utility endpoint. Through Jentic you install once, import the API from the Directory, and your agent calls it.
Permission scoping
API Acre carries its inputs in the request body, so rules bound which operations your agent may call: you can allow only the web-extraction and data-cleaning operations while leaving the crypto and audit operations out unless you add them. You choose the operations it may use.
Credential isolation
API Acre needs no API key: its endpoints are open and metered per call through x402 settlement. Jentic One still runs each call from your own self-hosted instance, so request contents stay out of the agent's prompt, logs, and context.
Intent-based discovery
Agents search Jentic by intent such as 'extract web content' or 'repair JSON', and Jentic returns the matching API Acre operation with its input schema so the agent calls the right endpoint without browsing the reference docs.
Alternatives and complements available in the Jentic catalogue.
Specific to using API Acre API through Jentic.
What authentication does API Acre use?
API Acre's endpoints require no API key per its OpenAPI spec; paid operations settle per call through x402 USDC on Base and Solana. Through Jentic each call runs from your own self-hosted instance, so request contents stay out of the agent's prompt and logs.
Can I extract and clean data with API Acre?
Yes. You can extract content from a web page or document, then clean, convert, deduplicate, repair, and validate the result into structured JSON. The service catalog lists every available utility so an agent can pick the right one for a task.
Is there an API Acre MCP server?
You do not need an MCP server to give your agent API Acre. Jentic connects it directly from the API Directory: import the API and your agent calls its utilities on demand, discovering operations by intent without loading another server's tool definitions into its context.
Can I limit what my agent is allowed to do with API Acre?
Yes. Write a rule that allows only the web-extraction and data-cleaning operations, so the agent can turn pages and datasets into JSON but cannot call the crypto or audit operations unless you add them, and every call it makes is logged for review. API Acre carries its inputs in the request body, so rules bound which operations the agent may call.
What are the rate limits for API Acre?
The OpenAPI spec does not state numeric rate limits for API Acre; paid operations are metered per call through x402 settlement instead. Check the vendor documentation at https://apiacre.com for current limits before running large batches.
How do I extract web content with API Acre through Jentic?
Search Jentic for an intent such as 'extract content from a web page', and it returns the matching operation with its input schema so your agent passes the URL and options correctly. To run it on your own infrastructure, install Jentic One from its GitHub repo.
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