x402stock Insider Conviction Score

by agents.x402stock.xyz·Website ↗API ↗

x402stock Insider Conviction Score is a paid API for AI agents from agents.x402stock.xyz, paid per call via MPP, $0.15/call, status unknown (last checked 2026-10-06, last successful call 2026-08-31).

Returns a transparent 0–100 insider-conviction score for a US stock, with full factor breakdown derived from SEC EDGAR Form 4, Form 144, and 13D filings.

Price / call$0.15

Seller volume →—

Success33%

StatusUnknown

How this service works

Returns an insider-conviction score (0-100) based on Form 4 flow, role weighting, etc.

Output

A JSON object containing: the 0–100 insider conviction score with label and confidence, baseline score, an array of named scoring factors (each with points awarded and detail breakdown), raw inputs used, a human-readable rationale string, methodology explanation, source attribution (SEC EDGAR), and a factual disclaimer. Factor names include net share flow, role-weighted activity, cluster buying, Form 144 overhang, and 13D activist stake.

Example use cases

Pre-earnings insider signal check

“Before AAPL reports earnings next week, can you pull the insider conviction score and tell me if C-suite executives have been net buyers or sellers lately?”

Activist stake detection for short thesis

“I'm looking at GameStop — is there a 13D activist stake showing up in the insider conviction score, and what's the overall score and factor breakdown?”

Cluster buying alert for small-cap stock

“Check the insider conviction score for IONQ and tell me if there's cluster buying by multiple distinct insiders driving the score up.”

Technical details

Endpoint

GEThttps://agents.x402stock.xyz/api/v1/score/insider/{ticker}?utm_source=zero.xyz

When to prefer

Use this endpoint when you need a structured, transparent, factor-decomposed insider sentiment signal derived directly from SEC filings (Form 4, Form 144, 13D) for a US-listed stock. Prefer this over raw filing searches when you need a single actionable score with role-weighting (C-suite vs minor insiders) and cluster-buying detection already computed. It is complementary to raw EDGAR filing lists but saves the agent from computing the score itself.

Side effects

Unknown or invalid ticker returns an error or null score
No recent Form 4 filings results in a low-confidence baseline score
OTC or non-US-listed tickers may not be supported
SEC EDGAR data lag may mean very recent filings are not yet reflected
Score confidence is low if filing history is sparse

Input

Schema · Request body

Field	Type	Description
tickerrequired	string	US-listed ticker symbol (uppercase), e.g. AAPL.

Output

Schema · Response

Field	Type	Description
as_ofrequired	string
scorerequired	object
inputsrequired	object
sourcerequired	string
tickerrequired	string
sectionsrequired	object
rationalerequired	string
disclaimerrequired	string
methodologyrequired	string

Reviews

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Zero review prompt (fires after every successful call)

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