Deep Values API
50
AI ReadinessFoundational (D+)50/100
Official vendor OpenAPI document · agent-readyData EnrichmentCompany Databearer30 EndpointsREST
For Agents
Track 13F guru holdings and moves, pull AI equity research and intrinsic-value calculations, and read company fundamentals, filings, and sentiment by ticker. Includes a drop-in AI grounding context endpoint across 30 endpoints.
Use for: Find which curated gurus hold a given ticker, Get the AI multi-analyst research briefing for a stock, Calculate the intrinsic value of a company with DCF, Check the Buffett Indicator zone right now
Not supported: Does not execute trades, hold funds, or provide personalised financial advice. Use for researching public companies and tracking investor activity only.
The Deep Values API delivers investment research on public equities: it tracks the 13F holdings and material moves of a curated roster of 60 gurus, generates AI multi-analyst research briefings, and calculates intrinsic value with DCF, Owner Earnings, and Damodaran methods. It also serves company overviews, fundamentals, SEC filings, value-investor sentiment, and market indicators such as the Buffett Indicator and Shiller PE. A drop-in AI-grounding context endpoint packages a ticker's data for chatbot builders, and webhooks push material guru moves as they file.
Install Jentic One Beta
Connect the Deep Values API to your agent
Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the Deep Values 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.
1
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%2Fdeepvalues.ai%2Fdeepvalues" | sh2
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%2Fdeepvalues.ai%2Fdeepvalues" | 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.
Capabilities
What an agent can do with Deep Values API.
Track which curated 13F gurus hold a ticker and surface material guru moves each with a verdict
Pull AI multi-analyst research briefings and drop-in AI grounding context for a ticker
Calculate intrinsic value with DCF, Owner Earnings, and Damodaran methods
Read company overviews, fundamentals, and SEC filings by ticker
Read market indicators including the Buffett Indicator and Shiller PE with historical percentile
Get value-investor sentiment rollups and sentiment-scored news for a ticker
Subscribe to webhooks that deliver material guru moves as they file
Use Cases
Patterns agents use Deep Values API for, with concrete tasks.
★ Grounding an AI Investing Assistant
An AI agent connected to Deep Values through Jentic can call the drop-in AI grounding context endpoint for a ticker and get a packaged view of research, fundamentals, and smart-money activity to reason over, instead of stitching together raw data itself. Paired with the AI multi-analyst research briefing, this lets a chatbot answer equity questions grounded in current filings and valuations rather than stale recall.
Fetch the AI grounding context and the multi-analyst research briefing for a ticker, then answer a question about the company's valuation
Smart-Money and 13F Tracking
Deep Values tracks a curated roster of 60 gurus and reports which of them hold a given ticker, the material moves they make newest-filing-first, and a verdict line for each filed move. An agent or analyst can watch where respected value investors are adding or trimming positions and read an impersonal mirror brief built for acting on a move.
List material guru moves in the last quarter and read the verdict line and mirror brief for the top ticker
Intrinsic-Value Screening
The intrinsic-value endpoint returns DCF, Owner Earnings, and Damodaran valuations for a ticker, and market indicators like the Buffett Indicator and Shiller PE place the overall market in a zone or historical percentile. Together these let a value-focused screen compare a company's intrinsic value against price while accounting for the broader market regime.
Calculate the DCF and Owner Earnings intrinsic value for a ticker and compare it against the current Buffett Indicator zone
Company Fundamentals and Filings
Beyond analysis, Deep Values serves the underlying company data: search for a company, read its overview, pull income, balance, and cash-flow fundamentals, and list its SEC filings such as 10-K, 10-Q, and 8-K. Sentiment-scored news and a value-investor sentiment rollup add context without the retail-forum noise.
Read the fundamentals and most recent SEC filings for a ticker and summarise the latest 10-Q highlights
Key Endpoints
30 endpoints — the deep values api delivers investment research on public equities: it tracks the 13f holdings and material moves of a curated roster of 60 gurus, generates ai multi-analyst research briefings, and calculates intrinsic value with dcf, owner earnings, and damodaran methods.
METHOD
PATH
DESCRIPTION
GET
/research/{ticker}
AI multi-analyst research briefing for a ticker
GET
/ai-context/{ticker}
Drop-in AI grounding context for a ticker
GET
/smart-money/holdings
Which curated gurus hold a ticker
GET
/intrinsic-value/{ticker}
DCF, Owner Earnings, and Damodaran intrinsic value
GET
/fundamentals/{ticker}
Income, balance, and cash-flow statements
GET
/filings/{ticker}
SEC filings including 10-K, 10-Q, and 8-K
GET
/indicators/buffett
Buffett Indicator with zone classification
POST
/webhooks
Create a webhook subscription for guru moves
GET
/research/{ticker}
AI multi-analyst research briefing for a ticker
GET
/ai-context/{ticker}
Drop-in AI grounding context for a ticker
GET
/smart-money/holdings
Which curated gurus hold a ticker
GET
/intrinsic-value/{ticker}
DCF, Owner Earnings, and Damodaran intrinsic value
GET
/fundamentals/{ticker}
Income, balance, and cash-flow statements
GET
/filings/{ticker}
SEC filings including 10-K, 10-Q, and 8-K
GET
/indicators/buffett
Buffett Indicator with zone classification
POST
/webhooks
Create a webhook subscription for guru moves
Jentic AI Readiness Score
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.
D
Deep Values API
- Foundational (D+)50/100
74
Foundational Compliance62
Developer Experience & Jentic Compatibility25
AI-Readiness & Agent Experience94
Agent Usability60
Security72
AI DiscoverabilityPowered by JenticScoring Framework 1.0.0 | Scoring Engine 0.4.2
Show dimension breakdown
74
Foundational Compliance
Base layer of spec validity and structural soundness.
Grade: A-Signals: 4
96%
Lint Results
Aggregated quality score from linter diagnostics, weighted by severity.
100%
Resolution Completeness
Percentage of `$ref` references that resolve successfully.
0%
Specification Validity
Checks whether the API description parses successfully and conforms to its declared specification (e.g., OpenAPI).
100%
Structural Integrity
Structural correctness score based on schema issues using logarithmic dampening.
62
Developer Experience & Jentic Compatibility
Clarity, completeness, and ingestion readiness for developers and tooling.
Grade: B-Signals: 4
10%
Example Density
How richly the API is illustrated with examples.
100%
Example Validity
Percentage of examples that conform to their schemas.
39%
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.
25
AI-Readiness & Agent Experience
Semantic breadth, depth, and agent comprehension for AI systems.
Grade: FSignals: 4
36%
Description Coverage
Coverage of descriptions across API elements.
13%
Error Standardization
Coverage of RFC 9457 Problem Details for error responses.
0%
OperationId Quality
Coverage, uniqueness, and casing consistency of operationIds for AI inference.
52%
Summary Coverage
Coverage of summaries across operations/tags/info.
94
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.
60
Security
Trust, risk posture, and security compliance.
Grade: B-Signals: 1
60%
Authentication Strength
Average quality of security schemes based on authentication method strength (weakest link for OAuth2).
72
AI Discoverability
Findability, semantic richness, and reasoning readiness.
Grade: A-Signals: 1
72%
Descriptive Richness
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>Why Jentic?
What agents get from Jentic-routed access to this vendor.
Setup
Wiring Deep Values by hand means minting a dv_sk_ bearer key, tracking its prepaid credit balance and daily quota, and handling per-call billing. Through Jentic you install once, import Deep Values from the API Directory, store the key once, and your agent calls it.
Permission scoping
Deep Values is almost entirely read operations keyed to a ticker, with a few account operations (revoking the key, buying credit packs, managing webhooks) alongside. A rule can let your agent read research, fundamentals, and smart-money data while those account operations stay out of its reach. You choose the operations it may call, so nothing that changes your key or balance runs unless you add it.
Credential isolation
Your Deep Values API 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 'get equity research for a ticker' or 'find which gurus hold a stock', and Jentic returns the matching Deep Values operation with its input schema so the agent calls the right endpoint without browsing the reference docs.
Related APIs
Alternatives and complements available in the Jentic catalogue.
FAQs
Specific to using Deep Values API through Jentic.
Is there a Deep Values MCP server?
You don't need an MCP server to give your agent Deep Values. Jentic connects it directly from the API Directory: import it, store your API key once, and your agent calls the research, fundamentals, smart-money, and valuation operations. Operations are discovered on demand, so no extra server's tool definitions sit in the agent's context.
Can I limit what my agent is allowed to do with Deep Values?
Yes. Write a rule that allows the research, fundamentals, and smart-money read operations but not key revocation, credit checkout, or webhook changes, so the agent can gather investment data while your key and balance stay under your control, and every call it makes is logged.
What authentication does the Deep Values API use?
Per its OpenAPI spec, the Deep Values API uses a bearer key in the dv_sk_ format sent in the Authorization header; you can mint one with the key-creation operation without an account. Live keys debit a prepaid credit balance per call and count against a daily quota, while test keys in the dv_sk_test_ format are never billed. Through Jentic the key is stored encrypted by your own Jentic One instance and injected only at call time.
Can I get intrinsic value calculations with the Deep Values API?
Yes. The intrinsic-value operation returns a DCF valuation, an Owner Earnings figure, and a Damodaran-style intrinsic value for a ticker. You can pair it with the Buffett Indicator and Shiller PE indicator operations to judge the result against the broader market regime.
What are the rate limits for the Deep Values API?
The OpenAPI spec notes that live keys debit a prepaid credit balance per call and count against a daily quota, while test keys are never billed; the key-status operation returns the exact remaining balance and quota. Check deepvalues.ai for current credit-pack pricing and quota sizes.
How do I ground an investing assistant with the Deep Values API through Jentic?
Call the AI grounding context operation for the ticker in question and feed the packaged research, fundamentals, and smart-money data to the agent before it answers. In Jentic, search for 'get AI equity research for a ticker', store your API key once, and the agent runs the read. To run it on your own infrastructure, install Jentic One from its GitHub repo.
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