Install Jentic One Beta
Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the Genomic Intelligence API, 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%2Fgenomicintelligence.ai%2Fgenomicintelligence" | 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%2Fgenomicintelligence.ai%2Fgenomicintelligence" | 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 Genomic Intelligence API.
Scan a DNA sequence for promoter regions
Annotate donor and acceptor splice sites in a sequence
Score enhancer activity and annotate chromatin features
Find genes and their exon, intron, and CDS structure in a raw sequence
Predict gene expression from the sequence around a transcription start site
GET STARTED
Run the variant-interpretation workflow to score the variants in a VCF
Poll a submitted prediction job for its progress and final result
Patterns agents use Genomic Intelligence API for, with concrete tasks.
★ Agent-Driven Sequence Analysis
An AI agent connected through Jentic submits a DNA sequence to a prediction task such as promoter scanning or splice-site annotation, then polls the returned job until the result is ready, so sequence analysis runs inside the agent's workflow without a bioinformatics pipeline to stand up. Because each task is a single predict operation with declared request bounds, the agent can call the right task directly.
Submit this DNA sequence to the promoter prediction task and return the predicted promoter regions once the job completes
Variant Interpretation from a VCF
A workflow sends a VCF to the genomic-variant-interpretation endpoint, which scores each variant and returns an annotated copy of the file, so variant prioritisation does not require assembling model pipelines by hand. The single composite call replaces wiring annotation and scoring steps together.
Send this VCF to the variant-interpretation workflow and return the annotated copy with per-variant scores
Annotation then Expression Workflow
A pipeline calls the find-genes-and-predict-expression workflow to annotate a raw DNA sequence and then predict per-gene expression in one request, chaining two tasks without the caller sequencing them. This turns a two-step analysis into a single composite operation that returns both the gene structure and the expression predictions.
Call the find-genes-and-predict-expression workflow on this raw sequence and return the genes with their expression predictions
12 endpoints — the genomic intelligence api runs transformer models over dna sequences to predict functional features without a developer training or hosting a model.
METHOD
PATH
DESCRIPTION
/v1/tasks/promoter/predict
Scan a sequence for promoter regions
/v1/tasks/splice/predict
Annotate donor and acceptor splice sites
/v1/tasks/annotation/predict
Find genes and their exon/intron/CDS structure
/v1/tasks/expression/predict
Predict gene expression around a TSS
/v1/workflows/find-genes-and-predict-expression
Annotate a sequence then predict per-gene expression
/v1/workflows/genomic-variant-interpretation
Score the variants in a VCF and return an annotated copy
/v1/tasks/jobs/{job_id}
Retrieve job progress or final result
/v1/tasks/jobs
List the caller's recent jobs
/v1/tasks/promoter/predict
Scan a sequence for promoter regions
/v1/tasks/splice/predict
Annotate donor and acceptor splice sites
/v1/tasks/annotation/predict
Find genes and their exon/intron/CDS structure
/v1/tasks/expression/predict
Predict gene expression around a TSS
/v1/workflows/find-genes-and-predict-expression
Annotate a sequence then predict per-gene expression
/v1/workflows/genomic-variant-interpretation
Score the variants in a VCF and return an annotated copy
/v1/tasks/jobs/{job_id}
Retrieve job progress or final result
What agents get from Jentic-routed access to this vendor.
Setup
Wiring the Genomic Intelligence API by hand means obtaining a partner key, sending it as a bearer token, and handling the async job pattern where you submit a prediction and poll it for the result. Through Jentic you install once, import the API from the Directory, store the key once, and your agent calls it.
Permission scoping
The sequence and options travel in the request body, so a rule bounds which operations your agent may call rather than which sequence. You choose the prediction tasks it may run, such as allowing promoter and splice predictions while leaving the variant-interpretation workflow out unless you add it.
Credential isolation
Your Genomic Intelligence key is stored once, encrypted, by your own Jentic One instance and injected at execution time. It never enters the agent's prompt, logs, or context.
Intent-based discovery
Agents search Jentic by intent such as 'predict promoter regions' or 'score variants in a VCF', and Jentic returns the matching Genomic Intelligence operation with its input schema so the agent calls the right task without reading the reference docs.
Alternatives and complements available in the Jentic catalogue.
Specific to using Genomic Intelligence API through Jentic.
Is there a Genomic Intelligence MCP server?
You don't need an MCP server to give your agent the Genomic Intelligence API. Jentic connects it directly from the API Directory: import it, store your credential once, and your agent can submit DNA prediction tasks and read their results straight away, with no extra server to run and no tool definitions to load into the agent's context.
Can I limit what my agent is allowed to do with the Genomic Intelligence API?
Yes. Write a rule that allows only the prediction tasks the agent needs, such as the promoter and splice tasks, so it can run those analyses and nothing else. You choose which operations it may call, and every call the agent makes is logged.
What authentication does the Genomic Intelligence API use?
The Genomic Intelligence API authenticates with a bearer token, a partner API key sent in the Authorization header, per its OpenAPI spec. A few routes such as the health check and the per-task model listing are open, while the prediction and workflow operations require the key. Through Jentic the key is stored encrypted by your own instance and injected at call time, so it never appears in the agent's prompt or logs.
Which DNA prediction tasks does the Genomic Intelligence API support?
It supports six tasks, each with its own predict operation: promoter scanning, splice-site annotation, enhancer activity scoring, chromatin feature annotation, gene and exon structure annotation, and gene expression prediction. Two composite workflows chain these tasks for annotation-then-expression and for variant interpretation from a VCF.
What are the rate limits for the Genomic Intelligence API?
The OpenAPI spec does not specify rate limits for the Genomic Intelligence API. For current limits and key issuance details, see the Genomic Intelligence documentation at https://docs.genomicintelligence.ai.
How do I run a DNA sequence prediction through Jentic?
Import the Genomic Intelligence API from the Jentic API Directory, then have your agent issue a request such as 'scan this sequence for promoter regions'. Jentic matches the intent to the promoter predict operation and returns its input schema so the agent sends the sequence correctly, then polls the job for the result, with your stored key injected at call time. To run it on your own infrastructure, install Jentic One from its GitHub repo.
For Agents
Run transformer-model predictions over DNA sequences, scoring promoters, splice sites, enhancers, chromatin, gene structure, and expression, plus variant interpretation from a VCF. Authenticates with a bearer token.
Use for: Scan this DNA sequence for promoter regions, Annotate the splice sites in a genomic sequence, Predict gene expression around a transcription start site, Find the genes and exon structure in a raw sequence
Not supported: Does not store sequencing files, run wet-lab ordering, or provide clinical diagnoses. Use for model-based prediction of functional features from DNA sequences only.
The Genomic Intelligence API runs transformer models over DNA sequences to predict functional features without a developer training or hosting a model. It exposes six prediction tasks, each a single predict operation: promoter scanning, donor and acceptor splice-site annotation, enhancer activity scoring, chromatin feature annotation, gene and exon structure annotation, and gene expression prediction around a transcription start site. Two composite workflows chain these tasks, one that annotates a raw sequence then predicts per-gene expression and one that scores the variants in a VCF and returns an annotated copy, and predictions run as jobs the caller polls for progress and results.
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.
/v1/tasks/jobs
List the caller's recent jobs
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>