Install Jentic One Beta

Connect the eNanoMapper federated search to your agent

Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the eNanoMapper federated search, 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%2Fideaconsult.net%2Fnanoreg" | sh

Step 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%2Fideaconsult.net%2Fnanoreg" | sh
jentic register       # connects your agent to your Jentic One instance

Jentic 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.

Capabilities

What an agent can do with eNanoMapper federated search API.

Search nanomaterial project databases with free text and faceted filters

Resolve substances by identifier and read their composition and structures

Run exact, substructure, and similarity chemical structure searches

Retrieve study summaries and measured physicochemical and toxicological data

GET STARTED

Start building with eNanoMapper federated search API

Explore with Jentic One

View OpenAPI Document

Use Cases

Patterns agents use eNanoMapper federated search API for, with concrete tasks.

★ Structure-based nanomaterial discovery

Researchers need to find nanomaterials that share a chemical structure or substructure with a candidate compound. eNanoMapper answers exact, substructure, and similarity queries over compound representations and returns the matching substances with their compositions, so a research team can move from a drawn structure to the curated records that describe it. Search stays scoped to the selected project database.

Run a similarity search for a given SMILES representation, then retrieve the composition of each matching substance

Nanosafety study data retrieval

Safety assessors need the measured physicochemical and toxicological studies behind a nanomaterial. eNanoMapper lists the substances in a project database, returns study summaries for a chosen substance, and exposes the underlying study records, letting an assessor assemble the evidence for a single material without manually crawling the source database. The data is read only and scoped per database.

Look up a substance by identifier and fetch its study summary and full study records for a named database

AI agent research data enrichment

An AI agent reading a research question about a nanomaterial can enrich it with structured data by querying eNanoMapper. The agent turns a compound name or structure into a database lookup, pulls the substance composition and study summaries, and returns citable records, keeping the research grounded in the curated nanomaterial index rather than free text. All access is read only.

Given a compound name, resolve the substance, retrieve its composition and study summary, and return the records

Key Endpoints

13 endpoints — enanomapper provides free text and faceted search across curated nanomaterial project databases, covering substances, chemical structures, studies, and their measured data.

METHOD

PATH

DESCRIPTION

GET

/select

Free text and faceted search across project databases

GET

/enm/{db}/substance

List substances in a database

GET

/enm/{db}/substance/{uuid}

Get a single substance record

GET

/enm/{db}/substance/{uuid}/study

Get study data for a substance

GET

/enm/{db}/query/compound/{term}/{representation}

Exact chemical structure search

GET

/enm/{db}/query/similarity

Similarity search over compound structures

GET

/select

Free text and faceted search across project databases

GET

/enm/{db}/substance

List substances in a database

GET

/enm/{db}/substance/{uuid}

Get a single substance record

GET

/enm/{db}/substance/{uuid}/study

Get study data for a substance

GET

/enm/{db}/query/compound/{term}/{representation}

Exact chemical structure search

GET

/enm/{db}/query/similarity

Similarity search over compound structures

Why Jentic?

What agents get from Jentic-routed access to this vendor.

Setup

eNanoMapper is a public search API with no key to provision, so wiring it by hand still means managing base paths, database identifiers, and Solr query syntax yourself. Install Jentic One once, import the API from the Jentic API Directory, and the search operations are ready to call.

Permission scoping

Scope your agent to the read-only search and lookup operations, and, because the database name is a path parameter on every query, restrict it to a single project database when you want. You decide which operations are callable.

Credential isolation

The eNanoMapper search API is public and needs no key, so there is nothing for Jentic to inject and no secret enters the agent's prompt, logs, or context. Access stays governed by the operations you allow.

Intent-based discovery

Agents find eNanoMapper through Jentic's intent search: a natural-language query such as 'search nanomaterials by chemical structure' matches the search and structure-query operations, which the agent then calls directly.

FAQs

Specific to using eNanoMapper federated search API through Jentic.

What can an AI agent do with the eNanoMapper API?

An agent can search curated nanomaterial databases with free text or faceted filters, run exact, substructure, and similarity structure queries, and retrieve substance compositions and study summaries. It is a read-only research API for engineered nanomaterial data.

Does the eNanoMapper API require authentication?

The published OpenAPI specification declares no security scheme, so the search operations are reachable without a key. Confirm access terms for any specific project database with the provider before relying on it in production.

Can I limit what my agent is allowed to do with the eNanoMapper API?

Yes. Your Jentic One instance decides which operations an agent may call, so you can allow read-only search and substance lookups and withhold everything else. Because the database name is a path parameter, you can also restrict an agent to a single project database.

What kinds of chemical searches does eNanoMapper support?

It supports exact chemical structure search by compound representation, substructure search using SMARTS patterns, and similarity search, alongside free text and faceted search across substances, studies, and structures.

How do I connect the eNanoMapper API to my AI agent with Jentic?

Install Jentic One with its setup script, import eNanoMapper from the Jentic API Directory, and your agent can call the search and substance operations. The install command is documented in the Jentic One repository.

Ideaconsult eNanoMapper federated search

AI ReadinessAI-Aware (B)66/100

See full scorecard

Official vendor OpenAPI document · agent-readyData EnrichmentData Transformationnone13 EndpointsREST

For Agents

Lets an AI agent search nanomaterial databases and retrieve substances, chemical structures, and study data from the eNanoMapper federated index.

Use for: I need to find nanomaterials matching a chemical structure, Search for substances studied in a specific nanosafety project, Retrieve the composition of a nanomaterial by its identifier, Look up toxicological study data for an engineered nanomaterial

Not supported: Does not handle nanomaterial synthesis, lab workflow management, or write operations. Use it for searching and reading curated nanomaterial data only.

eNanoMapper provides free text and faceted search across curated nanomaterial project databases, covering substances, chemical structures, studies, and their measured data. It runs Apache Solr queries and offers exact structure, substructure, and similarity search over compound representations. Results include substance compositions, study summaries, and dataset views for physicochemical and toxicological research on engineered nanomaterials.

Jentic One on Github View OpenAPI Document

Show dimension breakdown

Foundational Compliance

Base layer of spec validity and structural soundness.

Grade: A-Signals: 4

98%

Lint Results

Aggregated quality score from linter diagnostics, weighted by severity.

100%

Resolution Completeness

Percentage of `$ref` references that resolve successfully.

100%

Specification Validity

Checks whether the API description parses successfully and conforms to its declared specification (e.g., OpenAPI).

Structural Integrity

Structural correctness score based on schema issues using logarithmic dampening.

Developer Experience & Jentic Compatibility

Clarity, completeness, and ingestion readiness for developers and tooling.

Grade: BSignals: 4

10%

Example Density

How richly the API is illustrated with examples.

97%

Example Validity

Percentage of examples that conform to their schemas.

54%

Response Coverage

Percentage of operations with complete response definitions (success, client error, server error).

100%

Tooling Readiness

Health of API ingestion, bundling, and resolution within Jentic pipelines.

AI-Readiness & Agent Experience

Semantic breadth, depth, and agent comprehension for AI systems.

Grade: DSignals: 4

47%

Description Coverage

Coverage of descriptions across API elements.

Error Standardization

Coverage of RFC 9457 Problem Details for error responses.

85%

OperationId Quality

Coverage, uniqueness, and casing consistency of operationIds for AI inference.

56%

Summary Coverage

Coverage of summaries across operations/tags/info.

Agent Usability

Functional utility, complexity comfort, and AI orchestration readiness.

Grade: A+Signals: 1

94%

Complexity Comfort

Agent comfort level based on API operational and structural complexity.

100

Security

Trust, risk posture, and security compliance.

Grade: A+Signals: 1

100%

Authentication Strength

Average quality of security schemes based on authentication method strength (weakest link for OAuth2).

AI Discoverability

Findability, semantic richness, and reasoning readiness.

Grade: C+Signals: 1

59%

Descriptive Richness

Clarity and depth of descriptions across API elements.

Connect the eNanoMapper federated search to your agent

Capabilities

Start building with eNanoMapper federated search API

Use Cases

Key Endpoints

Why Jentic?

Related APIs

FAQs

Ideaconsult eNanoMapper federated search

Jentic AI Readiness Score

eNanoMapper federated search

Foundational Compliance

Lint Results

Resolution Completeness

Specification Validity

Structural Integrity

Developer Experience & Jentic Compatibility

Example Density

Example Validity

Response Coverage

Tooling Readiness

AI-Readiness & Agent Experience

Description Coverage

Error Standardization

OperationId Quality

Summary Coverage

Agent Usability

Complexity Comfort

Security

Authentication Strength

AI Discoverability

Descriptive Richness